CN114529492A - Parameter measurement method of peristaltic waves and ultrasonic measurement system - Google Patents

Parameter measurement method of peristaltic waves and ultrasonic measurement system Download PDF

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CN114529492A
CN114529492A CN202011197750.4A CN202011197750A CN114529492A CN 114529492 A CN114529492 A CN 114529492A CN 202011197750 A CN202011197750 A CN 202011197750A CN 114529492 A CN114529492 A CN 114529492A
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peristaltic
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刘梦斐
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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Abstract

A parameter measurement method of peristaltic waves and an ultrasonic measurement system are provided, the method comprises the following steps: transmitting a first ultrasonic wave to the endometrium of the tested object, and receiving an ultrasonic echo returned by the endometrium to obtain a first ultrasonic echo signal; processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium; obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value; and outputting the peristaltic wave array parameters. The peristaltic wave parameter measuring method and the ultrasonic measuring system quantize and output the peristaltic wave array parameters serving as new peristaltic wave related parameters, and provide an objective measuring tool for the peristaltic waves for users.

Description

Parameter measuring method of peristaltic wave and ultrasonic measuring system
Technical Field
The invention relates to the field of peristaltic wave measurement, in particular to a method for measuring parameters of peristaltic waves and an ultrasonic measurement system.
Background
Endometrial receptivity, which refers to the ability of the endometrium to receive a fertilized egg, is a condition that allows the blastocyst to locate, adhere, invade, and alter the intimal-interstitium resulting in implantation of the embryo. The correct evaluation on the endometrial receptivity has important clinical significance in the aspects of selecting the planting time, evaluating the pregnancy rate and the like, and is an important part in the current reproductive evaluation standard system.
The endometrial peristalsis wave refers to a mechanical wave generated by the uterine muscle layer contraction driving the endometrial peristalsis. The frequency, direction, strength, etc. of the peristaltic wave change with the change of the menstrual cycle, thereby assisting sperm transportation and embryo implantation, and being one of the important indexes for judging the receptivity of endometrium. Meanwhile, the uterine peristalsis rule is influenced by uterine diseases, so that the study on the peristalsis waves also has the potential value of assisting in diagnosing uterine lesions.
However, at present, there is no objective assessment means for the peristaltic waves, subjective judgment made by repeatedly observing the acquired ultrasound film only by the naked eyes of doctors can be relied on, the time consumption is long, the friendliness is low, the repeatability of operators is poor, and the peristaltic frequency and direction judged by different doctors are not necessarily consistent. Therefore, the lack of objective aids is a major obstacle to further study and application of the peristaltic waves.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In view of the deficiencies of the prior art, a first aspect of the embodiments of the present invention provides a method for measuring parameters of a peristaltic wave, the method including:
transmitting a first ultrasonic wave to the endometrium of a tested object, and receiving an ultrasonic echo returned by the endometrium to obtain a first ultrasonic echo signal;
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and outputting the peristaltic wave array parameters.
In one embodiment, the peristaltic wave array parameters characterizing the state of peristaltic wave array delivery within the target region include at least one of:
the duration of a single peristaltic wave array, the number of peristaltic waves in the single peristaltic wave array, the interval time between two adjacent peristaltic wave arrays, the non-peristaltic time between two adjacent peristaltic wave arrays, the number of peristaltic wave arrays in preset time, the average duration of the peristaltic wave arrays in preset time and the average non-peristaltic time in preset time.
In one embodiment, the obtaining of the peristaltic wave array parameter characterizing the transmission state of the peristaltic wave array in the target region based on the peristaltic parameter varying with time in the target region includes:
generating a space division distribution map when the peristaltic waves are generated according to peristaltic parameters changing along with time in the target area, wherein the space division distribution map when the peristaltic waves are generated represents the changes of the peristaltic parameters along with time and space;
and determining the peristaltic wave array parameters representing the transmission state of the peristaltic wave array in the target area based on the peristaltic wave spatial distribution diagram.
In one embodiment, the method further comprises:
emitting a second ultrasonic wave to the endometrium of the measured object;
receiving a second ultrasonic echo returned by the endometrium to obtain a second ultrasonic echo signal;
processing the second ultrasonic echo signal to obtain an ultrasonic image of the endometrium;
determining the target region from the ultrasound image.
In one embodiment, the determining the peristaltic wave array parameters characterizing the peristaltic wave array transfer state in the target region based on the spatial distribution map in the peristaltic waves comprises:
displaying a space distribution map when the peristaltic waves are generated;
obtaining the mark of the characteristic time point of the peristaltic wave array on the spatial distribution map when the peristaltic wave is generated;
and determining the peristaltic wave array parameters according to the time point corresponding to the label.
In one embodiment, the characteristic time points of the peristaltic wave array comprise a start time point and an end time point of a single peristaltic wave array, and the peristaltic wave array parameters determined from the start time point and the end time point of the peristaltic wave array comprise a duration of the single peristaltic wave array.
In one embodiment, the characteristic time points of the peristaltic wave arrays comprise an end time point of a previous peristaltic wave array and a start time point of a next peristaltic wave array at the same position, and the parameters of the peristaltic wave arrays determined according to the end time point of the previous peristaltic wave array and the start time point of the next peristaltic wave array at the same position comprise the interval time between two adjacent peristaltic wave arrays.
In one embodiment, the characteristic time points of the peristaltic wave arrays comprise an ending time point of a previous peristaltic wave array and a starting time point of a next peristaltic wave array in the two adjacent peristaltic wave arrays, and the parameters of the peristaltic wave arrays determined according to the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays comprise non-peristaltic time between the two adjacent peristaltic wave arrays.
In one embodiment, the obtaining of the labeling of the characteristic time points of the peristaltic wave array on the spatial distribution map of the peristaltic waves includes:
receiving a click operation performed on a characteristic time point of a peristaltic wave array on the peristaltic wave spatial distribution diagram during the peristaltic wave, and determining the position of the label according to the click operation;
or displaying an adjustable cursor on the spatial distribution graph during the peristaltic wave, receiving an adjusting operation of the adjustable cursor, and determining the position of the label according to the adjusting operation.
In one embodiment, the determining the peristaltic wave array parameters characterizing the peristaltic wave array transfer state in the target region based on the spatial distribution map in the peristaltic waves comprises:
respectively obtaining at least two peristaltic curves of which the peristaltic parameters at least two positions in the target area change along with time based on the spatial distribution diagram during the peristaltic waves;
extracting time points corresponding to the peristaltic parameters on the at least two peristaltic curves when the peristaltic parameters reach a first threshold value;
dividing the time points with the interval time not exceeding a preset time interval into time points belonging to the same peristaltic wave array;
and determining the parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array.
In one embodiment, the determining the peristaltic wave array parameters according to the starting time point and the ending time point of the peristaltic wave array comprises:
and determining the duration of the peristaltic wave array according to the interval time between the starting time point and the ending time point of the same peristaltic wave array on the at least two peristaltic curves.
In one embodiment, the determining the peristaltic wave array parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array comprises:
and determining the interval time between two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays on the same peristaltic curve.
In one embodiment, the determining the peristaltic wave array parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array comprises:
and determining the non-peristaltic time between the two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the time points of the two adjacent peristaltic wave arrays on the at least two peristaltic curves.
In one embodiment, the determining the peristaltic wave array parameters characterizing the peristaltic wave array transfer state in the target region based on the spatial distribution map in the peristaltic waves comprises:
obtaining a peristaltic curve of peristaltic parameters at a preset position in the target area along with time change on the basis of the peristaltic wave space division distribution diagram;
and extracting characteristic time points representing the transmission state of the peristaltic wave array on the peristaltic curve, and determining parameters of the peristaltic wave array according to the characteristic time points.
In one embodiment, determining the peristaltic wave array parameters from the characteristic time points comprises:
if the duration time of the peristaltic parameters on the peristaltic curves, which is smaller than a first threshold value, exceeds preset time, extracting a starting time point and an ending time point of the peristaltic parameters, which are smaller than the first threshold value, taking an interval between the starting time point and the ending time point as a non-peristaltic interval at the preset position, and determining the non-peristaltic time according to the interval time between the starting time point and the ending time point.
In one embodiment, determining the peristaltic wave array parameters from the characteristic time points further comprises:
and acquiring two adjacent sections of the non-creep intervals, and determining the duration time of the creep wave array between the two adjacent sections of the non-creep intervals according to the interval time between the starting time point of the next section of the non-creep interval and the ending time point of the previous section of the non-creep interval.
In one embodiment, determining the peristaltic wave array parameters from the characteristic time points comprises:
extracting a second time point on the peristaltic curve, wherein the peristaltic parameter is larger than a second threshold value;
extracting a first time point, adjacent to each second time point, of which the peristaltic parameter is greater than a first threshold value, wherein the first threshold value is smaller than the second threshold value, and the direction of the peristaltic parameter corresponding to the first time point is the same as that of the peristaltic parameter corresponding to the second time point;
dividing the first time points with the interval time less than the preset interval time into first time points belonging to the same peristaltic array, and determining the duration of the peristaltic array according to the interval time between the first time point and the last first time point in the first time points belonging to the same peristaltic array.
In one embodiment, the obtaining of the peristaltic wave array parameter characterizing the transmission state of the peristaltic wave array in the target region based on the peristaltic parameter varying with time in the target region includes:
and automatically analyzing the peristaltic wave array parameters representing the transmission state of the peristaltic wave array in the target area according to the peristaltic parameters based on a machine learning algorithm.
In one embodiment, said outputting said peristaltic wave array parameters comprises:
and displaying the peristaltic wave array parameters in at least one of a graph, a numerical value and a grade.
The second aspect of the embodiments of the present invention provides a method for measuring parameters of a peristaltic wave, where the method includes:
obtaining a peristaltic parameter varying with time within a target area in the endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and outputting the peristaltic wave array parameters.
A third aspect of the embodiments of the present invention provides a method for measuring parameters of a peristaltic wave, where the method includes:
transmitting a first ultrasonic wave to the endometrium of a tested object, and receiving an ultrasonic echo returned by the endometrium to obtain a first ultrasonic echo signal;
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target area based on the peristaltic parameter changing along with time in the target area;
and outputting the peristaltic wave parameters.
In one embodiment, the peristaltic wave parameters include at least one of: the delivery time of a single peristaltic wave, the average delivery time of at least two peristaltic waves within a predetermined time, and the number of peristaltic waves within a predetermined time.
In one embodiment, the obtaining of the peristaltic wave parameter characterizing the state of peristaltic wave transmission in the target region based on the time-varying peristaltic parameter in the target region includes:
generating a peristaltic wave time-space distribution graph according to peristaltic parameters changing along with time at different positions in the target area, wherein the peristaltic wave time-space distribution graph represents the changes of the peristaltic parameters along with time and space;
and determining the peristaltic wave parameters based on the spatial distribution map in the peristaltic wave.
In one embodiment, the peristaltic wave parameter comprises a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the spatial distribution map of the peristaltic wave comprises:
displaying a space distribution map when the peristaltic waves are generated;
obtaining the labels of time points of peristaltic waves transmitted to different positions in the target area on the spatial distribution diagram during the peristaltic waves;
and determining the transmission time of the peristaltic waves transmitted between the different positions according to the time point corresponding to the label.
In one embodiment, the peristaltic wave parameter comprises a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the spatial distribution map of the peristaltic wave comprises:
respectively obtaining at least two curves of the peristaltic parameters at least two positions in the target area along with the time change based on the spatial distribution diagram during the peristaltic waves;
and extracting corresponding time points of the same fluctuation section of the peristaltic waves on the at least two curves, and determining the transmission time of the peristaltic waves transmitted between the at least two positions according to the time interval between the corresponding time points.
In one embodiment, the corresponding time points include time points corresponding to a peak value of the same fluctuation segment, a start point of the same fluctuation segment, or an end point of the same fluctuation segment on the at least two curves.
In one embodiment, the peristaltic wave parameter includes a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the spatial profile during the peristaltic wave includes:
obtaining a peristaltic curve of the peristaltic parameters at the preset position along with time change on the basis of the spatial distribution map of the peristaltic waves;
and extracting corresponding time points on adjacent fluctuation sections on the peristaltic curve, and determining the transfer time according to the interval time between the corresponding time points.
In one embodiment, the obtaining of the peristaltic wave parameter characterizing the state of peristaltic wave transmission in the target region based on the time-varying peristaltic parameter in the target region includes:
and automatically analyzing the peristaltic wave parameters according to the peristaltic parameters based on a machine learning algorithm.
In one embodiment, the peristaltic parameters include at least one of: peristaltic velocity, tissue displacement, tissue strain.
A fourth aspect of the embodiments of the present invention provides a method for measuring parameters of a peristaltic wave, where the method includes:
acquiring a peristaltic parameter which changes along with time in a target area in endometrium;
obtaining a peristaltic wave parameter transmitted by a peristaltic wave in the target area based on the peristaltic parameter changing with time in the target area;
and outputting the peristaltic wave parameters.
A fifth aspect of an embodiment of the present invention provides an ultrasonic measurement system, including:
an ultrasonic probe;
the transmitting circuit is used for exciting the ultrasonic probe to transmit first ultrasonic waves to the endometrium of the tested object;
the receiving circuit is used for controlling the ultrasonic probe to receive the ultrasonic echo returned by the endometrium so as to obtain a first ultrasonic echo signal;
a processor to:
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and the display is used for outputting the peristaltic wave array parameters.
A sixth aspect of an embodiment of the present invention provides an ultrasonic measurement system, including:
an ultrasonic probe;
the transmitting circuit is used for exciting the ultrasonic probe to transmit first ultrasonic waves to the endometrium of the tested object;
the receiving circuit is used for controlling the ultrasonic probe to receive the ultrasonic echo returned by the endometrium so as to obtain a first ultrasonic echo signal;
a processor to:
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target area based on the peristaltic parameter changing along with time in the target area;
and the display is used for outputting the peristaltic wave parameters.
According to the parameter measuring method of the peristaltic waves and the ultrasonic measuring system, the peristaltic wave array parameters are used as new peristaltic wave related parameters to be quantized and output, and an objective measuring tool of the peristaltic waves is provided for a user.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 shows a schematic block diagram of an ultrasonic measurement system according to one embodiment of the invention;
FIG. 2 shows a schematic flow diagram of a method of parameter measurement of peristaltic waves according to one embodiment of the present invention;
FIG. 3 is a schematic diagram for manually measuring parameters of a peristaltic wave array based on a peristaltic wave spatial division layout according to one embodiment of the invention;
FIG. 4 is a schematic diagram illustrating manual measurement of parameters of a peristaltic wave array based on a spatial distribution profile of the peristaltic wave according to another embodiment of the invention;
FIG. 5 is a schematic diagram illustrating an automatic measurement of parameters of a peristaltic wave array based on a spatial distribution map of the peristaltic wave according to an embodiment of the invention;
FIG. 6 is a schematic diagram for automatically measuring parameters of a peristaltic wave array based on a spatial distribution profile of the peristaltic wave according to another embodiment of the invention;
FIG. 7 shows a schematic diagram of a display interface according to one embodiment of the invention;
FIG. 8 shows a schematic flow diagram of a method of parameter measurement of peristaltic waves, according to another embodiment of the present invention;
FIG. 9 shows a schematic flow diagram of a method of parameter measurement of peristaltic waves, according to another embodiment of the present invention;
FIG. 10 is a schematic diagram illustrating manual measurement of peristaltic wave parameters based on a spatial distribution map of the peristaltic wave in accordance with one embodiment of the present invention;
FIG. 11 is a schematic diagram showing a manual measurement of peristaltic wave parameters based on a spatial division profile during peristaltic waves according to another embodiment of the invention;
FIG. 12 is a schematic diagram illustrating an automatic measurement of peristaltic wave parameters based on a spatial distribution map of the peristaltic wave in accordance with one embodiment of the present invention;
FIG. 13 is a schematic diagram illustrating an automatic measurement of peristaltic wave parameters based on a spatial distribution profile of the peristaltic wave in accordance with another embodiment of the present invention;
FIG. 14 shows a schematic view of a display interface according to one embodiment of the invention;
fig. 15 shows a schematic flow chart of a parameter measurement method of a peristaltic wave according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the invention described herein without inventive step, shall fall within the scope of protection of the invention.
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the present invention.
It is to be understood that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes any and all combinations of the associated listed items.
In order to provide a thorough understanding of the present invention, a detailed structure will be set forth in the following description in order to explain the present invention. Alternative embodiments of the invention are described in detail below, however, the invention may be practiced in other embodiments that depart from these specific details.
Next, an ultrasonic measurement system according to an embodiment of the present application, which can be used to implement the parameter measurement method of a peristaltic wave of the embodiment of the present application, is described first with reference to fig. 1. Fig. 1 shows a schematic block diagram of an ultrasonic measurement system 100 according to an embodiment of the present application.
As shown in FIG. 1, the ultrasound measurement system 100 includes an ultrasound probe 110, transmit circuitry 112, receive circuitry 114, a processor 116, and a display 118. Further, the ultrasound measurement system may further include a transmit/receive selection switch 120 and a beam forming circuit 122, and the transmit circuit 112 and the receive circuit 114 may be connected to the ultrasound probe 110 through the transmit/receive selection switch 120.
The ultrasound probe 110 includes a plurality of transducer elements, which may be arranged in a line to form a linear array, or in a two-dimensional matrix to form an area array, or in a convex array. The transducer is used for transmitting ultrasonic waves according to the excitation electric signals or converting the received ultrasonic waves into the electric signals, so that each array element can be used for realizing the mutual conversion of the electric pulse signals and the ultrasonic waves, thereby realizing the transmission of the ultrasonic waves to tissues of a target area of a measured object and also receiving ultrasonic wave echoes reflected back by the tissues. When ultrasonic detection is carried out, which transducer elements are used for transmitting ultrasonic waves and which transducer elements are used for receiving the ultrasonic waves can be controlled through a transmitting sequence and a receiving sequence, or the transducer elements are controlled to be time-slotted for transmitting the ultrasonic waves or receiving echoes of the ultrasonic waves. The transducer elements participating in the ultrasonic wave transmission can be simultaneously excited by the electric signals, so that the ultrasonic waves are transmitted simultaneously; alternatively, the transducer elements participating in the ultrasound beam transmission may be excited by several electrical signals with a certain time interval, so as to continuously transmit ultrasound waves with a certain time interval.
During ultrasound imaging, the transmit circuit 112 sends delay-focused transmit pulses to the ultrasound probe 110 through the transmit/receive select switch 120. The ultrasonic probe 110 is excited by the transmission pulse to transmit an ultrasonic beam to the tissue of the target region of the object to be measured, receives an ultrasonic echo with tissue information reflected from the tissue of the target region after a certain time delay, and converts the ultrasonic echo back into an electrical signal again. The receiving circuit 114 receives the electrical signals generated by the ultrasound probe 110, obtains ultrasound echo signals, and sends the ultrasound echo signals to the beam forming circuit 122, and the beam forming circuit 122 performs processing such as focusing delay, weighting, channel summation and the like on the ultrasound echo data, and then sends the ultrasound echo data to the processor 116. The processor 116 performs signal detection, signal enhancement, data conversion, logarithmic compression, and the like on the ultrasonic echo signal to form an ultrasonic image. The ultrasound images obtained by the processor 116 may be displayed on the display 118 or may be stored in the memory 124.
Alternatively, the processor 116 may be implemented as software, hardware, firmware, or any combination thereof, and may use single or multiple Application Specific Integrated Circuits (ASICs), single or multiple general purpose Integrated circuits (USICs), single or multiple microprocessors, single or multiple Programmable Logic Devices (PLDs), or any combination thereof, or other suitable circuits or devices. Also, the processor 116 may control other components in the ultrasound measurement system 100 to perform the respective steps of the methods in the various embodiments herein.
The display 118 is connected with the processor 116, and the display 118 may be a touch display screen, a liquid crystal display screen, or the like; alternatively, the display 118 may be a separate display, such as a liquid crystal display, a television, or the like, separate from the ultrasound measurement system 100; alternatively, the display 118 may be a display screen of an electronic device such as a smartphone, tablet, etc. The number of the displays 118 may be one or more. For example, the display 118 may include a home screen for displaying ultrasound images and a touch screen for human-computer interaction.
The display 118 may display the ultrasound image obtained by the processor 116. In addition, the display 118 can provide a graphical interface for human-computer interaction for the user while displaying the ultrasound image, and one or more controlled objects are arranged on the graphical interface, so that the user can input operation instructions by using the human-computer interaction device to control the controlled objects, thereby executing corresponding control operation. For example, an icon is displayed on the graphical interface, and the icon can be operated by the man-machine interaction device to execute a specific function, such as drawing a region-of-interest box on the ultrasonic image.
Optionally, the ultrasound measurement system 100 may also include a human-computer interaction device other than the display 118, which is connected to the processor 116, for example, the processor 116 may be connected to the human-computer interaction device through an external input/output port, which may be a wireless communication module, a wired communication module, or a combination thereof. The external input/output port may also be implemented based on USB, bus protocols such as CAN, and/or wired network protocols, etc.
The human-computer interaction device may include an input device for detecting input information of a user, for example, control instructions for the transmission/reception timing of the ultrasonic waves, operation input instructions for drawing points, lines, frames, or the like on the ultrasonic images, or other instruction types. The input device may include one or more of a keyboard, mouse, scroll wheel, trackball, mobile input device (e.g., mobile device with touch screen display, cell phone, etc.), multi-function knob, and the like. The human-computer interaction device may also include an output device such as a printer.
The ultrasound measurement system 100 may also include a memory 124 for storing instructions executed by the processor, storing received ultrasound echoes, storing ultrasound images, and so forth. The memory may be a flash memory card, solid state memory, hard disk, etc. Which may be volatile memory and/or non-volatile memory, removable memory and/or non-removable memory, etc.
It should be understood that the components included in the ultrasonic measurement system 100 shown in FIG. 1 are merely illustrative and that more or fewer components may be included. This is not limited by the present application.
Next, a parameter measurement method of a peristaltic wave according to an embodiment of the present application will be described with reference to fig. 2. Fig. 2 is a schematic flow chart of a parameter measurement method 200 of a peristaltic wave according to an embodiment of the present application.
As shown in fig. 2, a method 200 for measuring parameters of a peristaltic wave in an embodiment of the present application includes the following steps:
in step S210, a first ultrasonic wave is emitted to the endometrium of the object to be tested, and an ultrasonic echo returned from the endometrium is received, so as to obtain a first ultrasonic echo signal;
in step S220, processing the first ultrasonic echo signal to obtain a peristaltic parameter varying with time in a target region in the endometrium;
in step S230, obtaining a peristaltic wave array parameter representing a transmission state of a peristaltic wave array in the target region based on the peristaltic parameter varying with time in the target region, where each peristaltic wave array includes a single or multiple peristaltic waves, and a time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold;
in step S240, the peristaltic wave array parameters are output.
Research shows that the peristaltic waves do not exist all the time, but occur in one burst, each burst of peristalsis comprises a single peristaltic wave or a plurality of peristaltic waves, and the next burst of peristalsis appears after a period of rest. Therefore, the relevant parameters of the peristaltic wave array (also called as a peristaltic wave cluster, a peristaltic wave group or each array of peristaltic waves and the like) have clinical significance and potential research value. According to the method, the peristaltic wave array parameters representing the transmission state of the peristaltic wave array are quantized and output, an objective measuring tool of the peristaltic wave is provided for a user, further quantitative clinical research and diagnosis evaluation of the peristaltic wave are facilitated, and a foundation is laid for perfecting a peristaltic wave evaluation system in the future.
Referring to fig. 1, in step S210, the transmission circuit 112 transmits a transmission pulse to the ultrasonic probe 110 through the transmission/reception selection switch 120 to excite the ultrasonic probe 110 to transmit a first ultrasonic wave to the endometrium of the object to be measured. The first ultrasound may be directed to the entire endometrium or only to the target area in the endometrium. The target region may be determined by an ultrasound image (including but not limited to a B-mode ultrasound image and a C-mode ultrasound image), may be determined by a peristaltic wave image, or may be determined directly according to a preset scanning strategy. After a certain delay, in step S220, the receiving circuit 114 controls the ultrasonic probe to receive the echo of the first ultrasonic wave through the transmitting/receiving selection switch 120 to obtain a first ultrasonic echo signal, and sends the first ultrasonic echo signal to the beam forming circuit 122, the beam forming circuit 122 performs focusing delay, weighting, channel summation and other processing on the first ultrasonic echo signal, and then sends the beam-formed first ultrasonic echo signal to the processor 116 for processing to obtain the peristaltic parameter.
In this embodiment, the processor 116 may process the first ultrasonic echo signal of any link after the beamforming processing to obtain the peristalsis parameter, or may generate an ultrasonic image based on the first ultrasonic echo signal, and perform related processing on the ultrasonic image to obtain the peristalsis parameter. The first ultrasonic wave in the above is a detection sequence of peristaltic waves, which may be common with the transmission scan sequence of the ultrasonic image, or may take an entirely different scan sequence. When the scanning sequence is independent, the transmitting and receiving parameters (such as frequency, focusing direction, transmitting interval, transmitting position and the like) can be set independently, for example, the scanning interval of the echoes of two adjacent frames can be made shorter, so that the detection with higher precision in time can be obtained.
When an ultrasonic wave is transmitted and an ultrasonic echo is received for a certain target position in space for a period of time, if the target position is in motion, the ultrasonic echoes obtained at different times will change, and the change amount or change speed of the ultrasonic echo at each time, namely displacement detection or speed detection, can be detected based on correlation comparison. Based on this, for a creeping endometrium, a relevant comparison may be used to obtain its creeping parameters, which may include at least one of: peristaltic velocity, tissue displacement, tissue strain. As one implementation, the displacement or velocity of each point in the region of interest may be obtained by a displacement detection method; as another implementation manner, the displacement of each point in the region of interest may be obtained by a displacement detection method, and then the velocity of each point is obtained by calculating the gradient of the displacement in time.
The specific method of determining the peristaltic parameter based on displacement detection may be varied. For example, a method based on block matching may be adopted, wherein for an ultrasonic echo signal at a certain position at a certain time, a search is performed at a different position of the ultrasonic echo signal at another time, a position with the largest cross-correlation with the ultrasonic echo signal is found, and the difference between the position and the home position is used as the displacement at the two times, and further the time difference between the two times is combined to obtain the creep parameters such as the creep speed and the creep acceleration. For another example, a mode based on the ultrasonic doppler effect can be adopted to detect the moving speed of the tissue at a certain position at each moment in a similar principle to the conventional blood flow imaging. Alternatively, other displacement detection methods based on signal autocorrelation or cross correlation may also be used, which is not limited in this embodiment of the present application.
In one embodiment, when the target region is determined from the ultrasound image, the method 200 for measuring parameters of the peristaltic wave further comprises: controlling the ultrasonic probe to emit second ultrasonic waves to the endometrium of the measured object; receiving a second ultrasonic echo returned by the endometrium of the tested object to obtain a second ultrasonic echo signal; the second ultrasound echo signals are processed to obtain an ultrasound image of the endometrium, including but not limited to a B-mode ultrasound image or a C-mode ultrasound image. Thereafter, a region of interest is determined in the ultrasound image, the region of interest corresponding to a target region of the endometrium. In some embodiments, a multi-frame ultrasound image of the endometrium may be obtained from the second echo signal; after obtaining the multi-frame ultrasound images of the endometrium, the region of interest may be determined on the first frame ultrasound image of the multi-frame ultrasound images, the region of interest may be determined on the ultrasound image of the intermediate frame, or the region of interest may be determined on the ultrasound image of the last frame, as desired. Illustratively, the region of interest may be a point, a line, a frame, and the like, and specifically may include a straight line, a curved line, a discrete point, a continuous point, or a frame with an arbitrary shape, and the shape of the region of interest is not limited in the embodiments of the present application.
For example, determining the region of interest in the ultrasound image may be implemented in an automatic or manual manner. When the region of interest is determined manually, the ultrasound image may be displayed and the region of interest may be determined in response to a user selection operation on the ultrasound image, for example, the user may select the region of interest in the ultrasound image through an input device such as a mouse.
When the region of interest is automatically determined, the ultrasound measurement system may then automatically identify an endometrial region in the ultrasound image and automatically select the region of interest according to a preset rule within the identified endometrial region. For example, one or more points of interest may be selected as regions of interest inside the endometrial region; alternatively, a line segment may be selected as the region of interest in a certain direction of the endometrial region, e.g. the selected line segment may be a line segment extending from the cervix end to the fundus end, etc. Of course, the above manner of automatically selecting the region of interest is only an example, and the region of interest may also be automatically selected based on other preset conditions in the embodiment of the present application, which is not limited in this embodiment of the present application. For example, after the region of interest is automatically identified according to the ultrasound image, the position of the region of interest may be displayed on the ultrasound image, and the position of the region of interest may be adjusted according to the user input.
In step S220, when the peristaltic parameters are obtained based on the ultrasound image, the corresponding peristaltic parameters may be obtained for each pixel point in the ultrasound image, or the corresponding peristaltic parameters may be obtained only for each pixel point in the endometrial region in the ultrasound image. Thereafter, the peristaltic parameters corresponding to the region of interest can be extracted therefrom. Or, the corresponding peristaltic parameters can be obtained only for the pixel points corresponding to the interest region in the ultrasound image. For multi-frame ultrasonic images, the peristaltic parameters of all pixel points at the corresponding moment of each frame of ultrasonic image can be obtained, and therefore the peristaltic parameters of all positions in the target area changing along with time can be obtained.
In step S230, a peristaltic wave array parameter transmitted by the peristaltic wave array in the target region is obtained based on the peristaltic parameter varying with time in the target region, and the peristaltic wave array parameter can be used as an important index for evaluating endometrial receptivity, which is helpful for further quantitative research and evaluation of the peristaltic wave.
As mentioned above, each peristaltic wave array comprises a single or multiple peristaltic waves, and if the time interval between two adjacent peristaltic waves is not greater than the preset threshold, the two peristaltic waves can be classified into the same peristaltic wave array, so that the peristaltic waves of the endometrium in the acquisition time can be divided into a plurality of peristaltic wave arrays. Wherein, the time interval between two adjacent peristaltic waves can be the time interval at the same position; the preset threshold is, for example, 30 seconds, but is not limited thereto, and the preset thresholds may be different for different measured objects or different states of the same measured object. Illustratively, the time interval between two adjacent peristaltic wave arrays is larger than the time interval between two adjacent peristaltic waves in the same peristaltic wave array.
Illustratively, the peristaltic wave array parameters characterizing the state of delivery of the peristaltic wave array within the target region include at least one of: the duration of a single peristaltic wave array, the number of times of peristaltic waves in the single peristaltic wave array, the average duration of the peristaltic waves in the single peristaltic wave array, the interval time between two adjacent peristaltic wave arrays, the non-peristaltic time between two adjacent peristaltic wave arrays, the number of peristaltic wave arrays in a preset time, the average duration of the peristaltic wave arrays in the preset time and the average non-peristaltic time in the preset time.
As one implementation, the peristaltic wave array parameters may be determined based on a spatial distribution map in the peristaltic wave. Specifically, a space division distribution map is generated when the peristaltic waves are generated according to peristaltic parameters changing along with time in the target area, and the space division distribution map represents the changes of the peristaltic parameters along with time and space when the peristaltic waves are generated; and determining the peristaltic wave array parameters representing the transmission state of the peristaltic wave array in the target area based on the peristaltic wave spatial distribution diagram.
Specifically, the spatial profile during the peristaltic wave represents the temporal and spatial variation of the peristaltic parameter. Generating the spatial profile in the peristaltic wave may include: establishing a coordinate system of a spatial distribution graph during peristaltic waves, wherein the coordinate system comprises a first coordinate axis and a second coordinate axis, the first coordinate axis represents time, the second coordinate axis represents spatial position, and the first coordinate axis and the second coordinate axis can be interchanged; and displaying the peristalsis parameters in a space-time distribution diagram coordinate system according to the time and space positions corresponding to the peristalsis parameters. Illustratively, the magnitude or direction of the peristaltic parameter may be represented in different colors or gray scales in the spatial profile during the peristaltic wave. Because the peristaltic wave space distribution map contains the time information and the space information of the peristaltic wave, the peristaltic wave array parameters transmitted by the peristaltic wave in the target area can be further obtained according to the peristaltic wave space distribution map.
For ease of understanding, fig. 3 shows an exemplary spatial distribution pattern during a peristaltic wave, where the spatial distribution pattern corresponds to a linear region of interest. In the peristalsis wave space-time distribution diagram shown in fig. 3, the horizontal axis represents time, the vertical axis represents spatial position, the dark parallelogram in the diagram represents forward peristalsis velocity, and the light parallelogram represents reverse velocity peristalsis, and it is understood that the space-time distribution diagram in the peristalsis wave of fig. 3 represents the peristaltic wave as a whole being transferred from the lower corresponding position to the upper corresponding position. As can be seen from fig. 3, the interval time between two adjacent peristaltic wave arrays is longer, and the interval time between two adjacent peristaltic waves in the same peristaltic wave array is shorter, so that if the interval time between two of the peristaltic waves is significantly longer than other interval times, the longer interval time can be used as the boundary between the two peristaltic wave arrays.
With continued reference to fig. 3, in the above peristaltic wave array parameters, the duration of a single peristaltic wave array is the interval between the start time of the first peristaltic wave and the end time of the last peristaltic wave in the single peristaltic wave array, which is denoted as Δ t 1-t 2-t1 in fig. 3; and the average value of the duration time of at least two peristaltic wave arrays in the preset time is the average duration time of the peristaltic wave arrays in the preset time. The interval time between two adjacent peristaltic wave arrays refers to the interval time between two adjacent peristaltic wave arrays at the same position, namely Δ t3-t 4-t 2. The non-peristaltic time between two adjacent peristaltic wave arrays is the interval between the starting time of the next peristaltic wave array and the ending time of the previous peristaltic wave array, namely delta t2 is t3-t 2; the average value of at least two non-creep times in the preset time is the average non-creep time in the preset time. In FIG. 3, the number of peristaltic waves in the first peristaltic wave array is three; the average duration of the peristaltic waves in a single peristaltic wave array is the average of the durations of the three peristaltic waves.
For example, if a plurality of regions of interest are determined in the ultrasound image, a plurality of spatial distribution maps of the peristaltic waves corresponding to the regions of interest may be generated respectively, and the corresponding parameters of the peristaltic wave array may be obtained based on the spatial distribution maps of each of the peristaltic waves for performing the comparative analysis. For example, the peristalsis behaviors of the front and back endometrium may be different, so that a space distribution map of the peristalsis waves of the front and back endometrium can be obtained respectively, and the peristalsis wave array parameters are determined respectively based on the space distribution map of each peristalsis wave, so that the difference of the peristalsis waves at each position can be observed more intuitively.
The manner in which the parameters of the peristaltic wave array are determined from the spatial distribution pattern in the peristaltic wave may be implemented as an automatic determination by the system or as a determination from received user input, i.e., a manual determination. Wherein, the manual determination mode specifically comprises: displaying a space division diagram when the peristaltic waves are generated; obtaining the mark of the characteristic time point of the peristaltic wave array on the spatial distribution diagram during the peristaltic wave; and determining the parameters of the peristaltic wave array according to the time point corresponding to the label. For example, the system may prompt the user to label the characteristic time points required for determining the specific peristaltic array parameters or the user may select to label the characteristic time points required for determining the specific peristaltic array parameters, and the label received thereafter is used as the label for the characteristic time points required for determining the specific peristaltic array parameters.
As an example, the characteristic time points of the peristaltic wave array include a start time point and an end time point of a single peristaltic wave array, and the peristaltic wave array parameters that can be determined from the start time point and the end time point of the peristaltic wave array include a duration of the single peristaltic wave array. Referring to fig. 3, if the user labels the starting time point t1 and the ending time point t2 of the peristaltic wave array, the duration of the peristaltic wave array can be determined to be Δ t 1-t 2-t 1. On the basis, the average duration of the peristaltic wave arrays in the preset time can be obtained by calculating the average value of the durations of at least two peristaltic wave arrays in the preset time.
As another example, the characteristic time point of the peristaltic wave array includes an end time point of a previous peristaltic wave array and a start time point of a next peristaltic wave array in two adjacent peristaltic wave arrays at the same spatial position, and the parameters of the peristaltic wave array that can be determined according to the end time point of the previous peristaltic wave array and the start time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays include an interval time between the two adjacent peristaltic wave arrays. With continued reference to fig. 3, if the user labels the ending time point t2 of the previous peristaltic wave array and the starting time point t4 of the next peristaltic wave array at the same spatial position, it may be determined that the interval time between the two peristaltic wave arrays is Δ t3 — t4-t 2. On the basis of the time interval, the average time interval in the preset time can be obtained by calculating the average value of at least two time intervals in the preset time.
As another example, the characteristic time point of the peristaltic wave array includes an end time point of a previous peristaltic wave array and a start time point of a next peristaltic wave array in the two adjacent peristaltic wave arrays in the entire target area, and the parameters of the peristaltic wave array that can be determined according to the end time point of the previous peristaltic wave array and the start time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays include a non-peristaltic time between the two adjacent peristaltic wave arrays. With continued reference to fig. 3, if the user labels the ending time point t2 of the previous peristaltic wave array and the starting time point t3 of the next peristaltic wave array within the entire target area, the no-peristaltic time between the two peristaltic wave arrays can be determined to be Δ t2-t 3-t 2. On the basis of the above, the average creep-free time in the predetermined time can be obtained by calculating the average value of at least two creep-free times in the predetermined time.
The number of times of peristaltic waves in a single peristaltic wave array, the number of the peristaltic wave arrays in a preset time, the average duration of the peristaltic waves in the single peristaltic wave array and other parameters of the peristaltic wave array can also be determined according to the received labels on the spatial distribution diagram of the peristaltic waves. For example, the number of peristaltic waves in a single peristaltic wave array and the number of peristaltic wave arrays in a preset time can be determined according to the number of clicking operations performed by a user; the labels for the starting time point and the ending time point of each peristaltic wave in the single peristaltic wave array can be obtained, the duration of each peristaltic wave in the single peristaltic wave array is calculated according to the time point corresponding to the label, the average duration of the peristaltic waves in the single peristaltic wave array is further calculated, and the like.
In a specific implementation, the labeling of the characteristic time point of the peristaltic wave array on the peristaltic wave spatial distribution diagram obtained may be as shown in fig. 3, that is, a click operation performed on the characteristic time point of the peristaltic wave array on the peristaltic wave spatial distribution diagram is received, and the position of the label is determined according to the click operation. Alternatively, as shown in fig. 4, an adjustable cursor may be displayed on the spatial distribution map during the peristaltic wave, an adjustment operation performed on the adjustable cursor may be received, and the position of the annotation may be determined according to the adjustment operation. The initial position of the adjustable cursor is shown on the left side of fig. 4, and the user can adjust the adjustable cursor to perform operations such as translation and width adjustment on the adjustable cursor, so that the adjustable cursor respectively corresponds to the characteristic time points to be labeled, that is, the characteristic time points can be determined according to the received user input, and then the peristaltic wave array parameters are determined according to the characteristic time points.
Of course, the specific way of obtaining the labeling of the feature time point on the spatial distribution map in the peristaltic wave is not limited to the above two ways, for example, the user may draw a line, draw a box, etc. on the spatial distribution map in the peristaltic wave as long as the system can determine the labeling of the feature time point on the spatial distribution map in the peristaltic wave by the user.
In other embodiments, the ultrasonic measurement system can also automatically measure parameters of the peristaltic wave array according to the spatial distribution pattern in the peristaltic wave to simplify the operation of a user.
In one example, automatically determining the peristaltic wave array parameters based on the spatial distribution map in the peristaltic wave includes: respectively obtaining at least two peristaltic curves of which the peristaltic parameters at least two positions in the target area change along with time based on a spatial distribution diagram during peristaltic waves; extracting corresponding time points when the peristaltic parameters on the at least two peristaltic curves reach a first threshold value; dividing time points with interval time not exceeding a preset time interval into time points belonging to the same peristaltic wave array; and determining parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array.
Illustratively, referring to fig. 5, the left side of fig. 5 is a distribution diagram of the peristalsis wave, and the distribution diagram of the peristalsis wave of fig. 5 is scanned in rows in the longitudinal direction, so as to obtain a peristalsis curve at a corresponding position of each row; FIG. 5 shows on the right two curves of the peristalsis parameters of the top and bottom positions of the target area as a function of time; and extracting a corresponding time point of the peristaltic parameter on each peristaltic curve when the peristaltic parameter reaches a first threshold value, wherein the first threshold value can be a numerical value or a numerical range. The time points extracted from all the peristaltic curves are arranged in the order from small to large, if the time difference between two adjacent time points is not greater than the preset time interval, the time points are classified as the time points belonging to the same peristaltic array, so that the first time point (such as t1 in fig. 5) and the last time point (such as t2 in fig. 5) of the same peristaltic wave array can be obtained, and the parameters of the peristaltic wave array are determined according to the starting time point and the ending time point of the peristaltic wave array.
Specifically, for the duration of the peristaltic wave array in the peristaltic wave array parameters, determining the peristaltic wave array parameters according to the starting time point and the ending time point of the peristaltic wave array specifically includes: the duration of the peristaltic wave array is determined according to the interval time between the starting time point and the ending time point of the same peristaltic wave array on the at least two peristaltic curves, namely, the time delta t1 is t2-t1 in fig. 5. On the basis, the average duration of the peristaltic wave arrays in the preset time can be obtained by calculating the average value of the durations of at least two peristaltic wave arrays in the preset time.
For the interval time between two adjacent peristaltic wave arrays in the peristaltic wave array parameters, determining the peristaltic wave array parameters of the peristaltic wave arrays according to the starting time point and the ending time point of the peristaltic wave arrays, and the method comprises the following steps: and determining the interval time between two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays on the same peristaltic curve, namely that delta t3 is t4-t2 in fig. 5. On the basis, the average interval time of the peristaltic wave array in the preset time can be obtained by calculating the average value of at least two interval times in the preset time.
For the non-peristaltic time between two adjacent peristaltic wave arrays in the peristaltic wave array parameters, determining the peristaltic wave array parameters of the peristaltic wave arrays according to the starting time point and the ending time point of the peristaltic wave arrays, wherein the determining comprises the following steps: and determining the non-peristaltic time between the two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the time points of the two adjacent peristaltic wave arrays on the at least two peristaltic curves, namely delta t2-t 3-t2 in fig. 5. On the basis of the above, the average no-creep time in the predetermined time can be obtained by calculating the average value of at least two no-creep times in the predetermined time.
The number of times of peristaltic waves in a single peristaltic wave array, the number of the peristaltic wave arrays in preset time, the average duration time of the peristaltic waves in the single peristaltic wave array and other parameters of the peristaltic wave array can also be automatically determined according to a peristaltic curve. For example, the number of the peristaltic wave arrays in the preset time can be determined according to the number of the starting time points or the ending time points in the preset time; determining the times of peristaltic waves in a single peristaltic wave array according to the number of corresponding time points when the peristaltic parameters between the starting time point and the ending time point of the same peristaltic wave array reach a first threshold value; the duration of each peristaltic wave in the single peristaltic wave array can be calculated according to the time interval between the starting time point and the ending time point of the single peristaltic wave array, the time point corresponding to the peristaltic parameter exceeding the first threshold value and the time point corresponding to the peristaltic parameter decreasing below the first threshold value, and further the average duration of the peristaltic waves in the single peristaltic wave array can be calculated.
In yet another embodiment, determining a peristaltic wave array parameter characterizing a state of propagation of the peristaltic wave array within the target region based on a spatial distribution map of the peristaltic waves includes: obtaining a peristaltic curve of peristaltic parameters at a preset position in the target area along with time change on the basis of a spatial distribution map during peristaltic waves; and extracting characteristic time points representing the transmission state of the peristaltic wave array on the peristaltic curve, and determining parameters of the peristaltic wave array according to the characteristic time points. That is, in this embodiment, the peristaltic wave array parameters may be derived based on a peristaltic curve at a single location.
Specifically, when the endometrium continuously peristalses, the last peristalsis starts, and the previous peristalsis reaches the end of the target area. For example, if the target area is a line from the cervical end to the fundus end, if the endometrium continues to creep, then the second undulation at the cervical end begins when the first undulation is transferred to the fundus end. The peristaltic curve of the points on the endometrium at this time is a wave-like curve, as shown in fig. 6. Therefore, when the endometrium continuously wriggles, the time difference between the two fluctuation sections is the time interval between two wriggles and is also the wriggle wave transmission time in the continuous wriggle. The peristaltic wave array parameters can be obtained according to the peristaltic curves at the single positions.
Specifically, a first threshold value and a second threshold value may be set in advance, and both the first threshold value and the second threshold value may be a numerical value or a numerical range. Wherein the first threshold is a basic threshold. If the duration time of the peristaltic parameter smaller than the first threshold value on the peristaltic curve exceeds preset time, extracting a starting time point and an ending time point of the peristaltic parameter smaller than the first threshold value, taking an interval between the starting time point and the ending time point as a non-peristaltic interval at a preset position, and determining the non-peristaltic time according to the interval time between the starting time point and the ending time point. It is noted that this non-peristaltic interval is different from the non-peristaltic time of the entire target region, but corresponds to the above interval time Δ t3 between adjacent peristaltic arrays.
After the non-peristaltic interval is determined, the duration of the peristaltic wave array can be determined according to the non-peristaltic interval. Specifically, two adjacent sections of non-creep intervals are obtained, and the duration time of the creep wave array between the two adjacent sections of non-creep intervals is determined according to the interval time between the starting time point of the next section of non-creep interval and the ending time point of the previous section of non-creep interval.
As another implementation, the determining the peristaltic wave array parameters according to the characteristic time points includes: extracting a second time point on the peristaltic curve, wherein the peristaltic parameter is larger than a second threshold value; extracting first time points adjacent to each second time point, wherein the peristalsis parameter of each first time point is larger than a first threshold, the first threshold is smaller than the second threshold, and the direction of the peristalsis parameter corresponding to the first time point is the same as that of the peristalsis parameter corresponding to the second time point; dividing the first time points with the interval time less than the preset interval time into first time points belonging to the same peristaltic wave array, and determining the duration of the peristaltic wave array according to the interval time between the first time point and the last first time point in the first time points belonging to the same peristaltic wave array.
Specifically, if the size of the peristaltic parameter at the second time point exceeds a second threshold, it is determined that effective peristalsis exists at the second time point, first time points are found, where the size of the peristaltic parameter near the second time point is just the first threshold and the directions of the peristaltic parameters are the same, and if the time difference between every two adjacent first time points is less than a preset interval time, the first time points can be classified as the time of the same peristaltic wave array. And subtracting the first time from the last first time of the same peristaltic wave array to obtain the duration of the peristaltic wave array.
In the embodiment of the application, besides determining the peristaltic wave array parameters of the peristaltic waves according to the spatial distribution diagram of the peristaltic waves, the peristaltic wave array parameters of the peristaltic waves transmitted in the target area can also be determined in other ways. For example, the parameters of the peristaltic wave array characterizing the transmission state of the peristaltic wave array in the target area are automatically analyzed according to the peristaltic parameters based on a machine learning algorithm. Specifically, the machine learning algorithm may obtain the peristaltic wave array parameters representing the transmission state of the peristaltic wave array by analyzing the morphological change rule of the endometrium or by observing the start time of the peristaltic wave array and the end time of the same peristaltic wave array.
In step S240, outputting the peristaltic wave array parameters includes: and displaying the peristaltic wave array parameters in at least one of a graph, a numerical value and a grade. For example, the peristaltic wave array parameters obtained as described above may be displayed numerically; a plurality of grades can be preset, each grade corresponds to a numerical value interval, the corresponding grade is determined according to the numerical value interval to which the peristaltic wave array parameter belongs, and the grade is displayed; different peristaltic wave array parameters or graphs corresponding to different grades can be preset, and the graphs and the like can be displayed.
In one embodiment, the peristaltic wave array parameters can be displayed on the same display interface as the spatial distribution map when the ultrasound image and the peristaltic wave are used, which helps a user to better identify and position the anatomical position corresponding to the spatial distribution map when the peristaltic wave array parameters and the peristaltic wave are used. FIG. 7 illustrates an exemplary display interface showing an ultrasound image of the endometrium with a dog-leg region of interest displayed in the ultrasound image at the top left; the space division diagram in the peristaltic wave is displayed on the lower left, and the marks of the characteristic time points by the user are displayed in the space division diagram in the peristaltic wave; parameters of the peristaltic wave array obtained based on the peristaltic wave spatial distribution diagram are displayed on the right side of the display interface, and specifically include the number of peristaltic times of each array, namely the number of peristaltic waves of each peristaltic wave array; the duration of each peristaltic wave array and the average duration within a predetermined time; the time interval between every two adjacent peristaltic wave arrays and the average time interval in preset time are determined; the non-creep time between every two adjacent peristaltic wave arrays and the average non-creep time in a preset time.
According to the parameter measuring method of the peristaltic waves, the peristaltic wave array parameters are used as new peristaltic wave related parameters to be quantized and output, and an objective measuring tool of the peristaltic waves is provided for a user.
Referring back to fig. 1, the present application further provides an ultrasonic measurement system 100, and the ultrasonic measurement system 100 may be used to implement the above-mentioned parameter measurement method 200 for peristaltic waves. The ultrasound measurement system 100 may include components such as an ultrasound probe 110, transmit circuitry 112, receive circuitry 114, a processor 116, a display 118, and a memory 124, the relevant description of which may be referred to above. Only the main functions of the ultrasonic measurement system 100 will be described below, and details that have been described above will be omitted.
The transmitting circuit 112 is used for exciting the ultrasonic probe 110 to transmit a first ultrasonic wave to the endometrium of the measured object; the receiving circuit 114 is used for controlling the ultrasonic probe 110 to receive the ultrasonic echo returned by the endometrium of the tested object so as to obtain a first ultrasonic echo signal; the processor 114 is used for processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium of the tested object; obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value; the processor 114 is also configured to control the output device to output the peristaltic wave array parameters, which may be displayed on the display 118, for example.
Other specific details of the ultrasonic measurement system 100 and the method 200 for measuring parameters of peristaltic waves implemented by the ultrasonic measurement system 100 may refer to the above description, and are not repeated herein.
Next, a parameter measurement method of a peristaltic wave according to another embodiment of the present application is described with reference to fig. 8. Fig. 8 is a schematic flow chart of a method 800 for measuring a parameter of a peristaltic wave according to an embodiment of the present application.
As shown in fig. 8, the method 800 for measuring parameters of a peristaltic wave of the present embodiment includes the following steps:
in step S810, acquiring a peristaltic parameter varying with time within a target region in an endometrium;
in step S820, obtaining a peristaltic wave array parameter representing a transmission state of a peristaltic wave array in the target region based on the peristaltic parameter varying with time in the target region, where each peristaltic wave array includes a single or multiple peristaltic waves, and a time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold;
in step S830, the peristaltic wave array parameters are output.
The method 800 for measuring parameters of peristaltic waves is similar to the method 200 for measuring parameters of peristaltic waves, and the difference between the methods is mainly that: the method 800 for measuring parameters of peristaltic waves does not limit the manner of acquisition of peristaltic parameters. For example, the parameter measurement method 800 of the peristaltic wave may be determined in real time from the first ultrasonic echo signal in the manner described above, may be determined from an ultrasonic echo signal or an ultrasonic image extracted from a storage medium, or may be directly extracted from the storage medium. In addition, the method 800 for measuring parameters of peristaltic waves is substantially similar to the method 200 for measuring parameters of peristaltic waves, and reference may be made to the above description for details, which are not repeated herein.
The embodiment of the present application further provides an ultrasonic measurement system, which can be used to implement the parameter measurement method 800 of the peristaltic wave. The ultrasound measurement system includes a memory having stored thereon a computer program for execution by the processor, a processor, and an output device. Where the processor may be implemented in software, hardware, firmware, or any combination thereof, circuitry, single or multiple application specific integrated circuits, single or multiple general purpose integrated circuits, single or multiple microprocessors, single or multiple programmable logic devices, or any combination of the foregoing, or other suitable circuitry or devices may be used, and the processor may control other components in the electronic device to perform desired functions. The memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. One or more computer program instructions may be stored on the computer-readable storage medium and executed by a processor to implement the method 800 for measuring a parameter of a peristaltic wave in the embodiments of the present application and/or various other desired functions. The ultrasonic measurement system may be the ultrasonic measurement system 100 shown in fig. 1.
According to the parameter measuring method of the peristaltic waves, the peristaltic wave array parameters are used as new peristaltic wave related parameters to be quantized and output, and an objective measuring tool of the peristaltic waves is provided for a user.
Researches show that besides the relevant parameters of the peristaltic wave array, the relevant parameters of each peristaltic wave can also be used as important indexes for evaluating the endometrial receptivity. Next, a parameter measurement method of a peristaltic wave according to an embodiment of the present application will be described with reference to fig. 9. Fig. 9 is a schematic flow chart of a parameter measuring method 900 of a peristaltic wave according to an embodiment of the present application.
As shown in fig. 9, a method 900 for measuring a parameter of a peristaltic wave according to an embodiment of the present application includes the following steps:
in step S910, a first ultrasonic wave is emitted to the endometrium of the object to be tested, and an ultrasonic echo returned from the endometrium is received, so as to obtain a first ultrasonic echo signal;
in step S920, processing the first ultrasonic echo signal to obtain a peristaltic parameter varying with time in a target region in the endometrium;
in step S930, obtaining a peristaltic wave parameter representing a peristaltic wave transmission state in the target region based on the peristaltic parameter varying with time in the target region;
in step S940, the peristaltic wave parameter is output.
The parameter measuring method 900 for the peristaltic waves quantizes and outputs the relevant parameters of each peristaltic wave, provides an objective measuring tool for the peristaltic waves for a user, facilitates further quantitative clinical research and diagnosis evaluation on the peristaltic waves, and lays a foundation for perfecting a peristaltic wave evaluation system in the future.
Steps S910 and S920 of the method 900 for measuring parameters of peristaltic waves substantially correspond to steps S210 and S220 of the method 200 for measuring parameters of peristaltic waves, and reference may be made to the above. The difference is that in step S930, a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target region is obtained based on the peristaltic parameter varying with time in the target region, and the peristaltic wave parameter can be used as an important index for evaluating the endometrial receptivity, which is helpful for further quantitative research and evaluation of the peristaltic wave. Illustratively, the peristaltic wave parameters include at least one of: the delivery time of a single peristaltic wave, the average delivery time of at least two peristaltic waves within a predetermined time, and the number of peristaltic waves within a predetermined time.
In one embodiment, a spatial distribution map of the peristaltic waves may be generated from the peristaltic parameters at different locations within the target region over time, and the peristaltic wave parameters characterizing the propagation state of the peristaltic waves within the target region may be determined based on the spatial distribution map of the peristaltic waves. Specifically, the spatial distribution map in the peristaltic wave represents the temporal and spatial variation of the peristaltic parameter, in a form substantially similar to the spatial distribution map in the peristaltic wave above. Because the peristaltic wave space-division distribution map contains the time information and the space information of the peristaltic wave, the peristaltic wave parameters representing the transmission state of the peristaltic wave in the target area can be further obtained according to the peristaltic wave space-division distribution map.
For ease of understanding, fig. 10 shows an exemplary peristaltic wave spatial distribution pattern, which corresponds to a linear region of interest. In the peristaltic wave space-distribution diagram shown in fig. 10, the horizontal axis represents time, the vertical axis represents a space position, the dark parallelogram in the diagram represents a forward peristaltic velocity, and the light parallelogram represents a reverse velocity peristaltic, it is understood that the space-distribution diagram in the peristaltic wave of fig. 10 as a whole represents the propagation time of the peristaltic wave from the lower corresponding position to the upper corresponding position, that is, the peristaltic wave propagates to one end of the target region at time t1, the peristaltic wave propagates to the other end of the target region at time t2, and t2-t1 is the propagation time of the peristaltic wave propagating in the target region.
The manner in which the peristaltic wave parameters are determined from the spatial distribution map in the peristaltic wave may be implemented as an automatic determination by the system or as a determination from received user input, i.e., a manual determination. Wherein, to the transmission time of single wriggling ripples among the wriggling ripples parameter, space division profile's manual definite mode specifically includes when based on the wriggling ripples: displaying the space distribution map when the peristaltic waves are generated; obtaining the labels of time points of peristaltic waves transmitted to different positions in a target area on a spatial distribution diagram during the peristaltic waves; and determining the transmission time of the peristaltic waves transmitted between different positions according to the time point corresponding to the label.
In one example, obtaining annotations for points in time at which a peristaltic wave passes to different locations within a target region on a spatial distribution map of the peristaltic wave includes: and receiving click operation carried out on time points when the peristaltic waves are transmitted to different positions on the peristaltic wave space distribution diagram, and determining the marked positions according to the click operation. With continued reference to fig. 10, when the bottom of the vertical axis of the spatial distribution diagram in fig. 10 corresponds to the start position of the target region and the top corresponds to the end position of the target region, and the labels of the start time point t1 when the peristaltic wave is transferred to the start position and the end time point t2 when the peristaltic wave is transferred to the end position on the spatial distribution diagram by the user are received, the transfer time t of the peristaltic wave transferred in the target region can be determined to be t2-t 1.
In another example, an adjustable cursor may be displayed on the spatial distribution map during a peristaltic wave, an adjustment operation performed on the adjustable cursor may be received, and a location of a user-selected annotation may be determined based on the received adjustment operation. Referring to fig. 11, the left side of fig. 11 shows an initial position of the adjustable cursor, and the user may adjust the adjustable cursor to perform operations such as translation and width adjustment, so that the adjustable cursor corresponds to the peristaltic wave starting point t1 and the peristaltic wave ending point t2, respectively, that is, the delivery time t ═ Δ t ═ t2-t1 may be determined according to the received user input.
Of course, the specific way of obtaining the labeling performed on the time point when the peristaltic wave is transferred to different positions in the target region in the peristaltic wave is not limited to the above two ways, for example, the user may also draw a line, draw a box, etc. on the spatial distribution map in the peristaltic wave as long as the system is enabled to determine the labeling performed on the spatial distribution map in the peristaltic wave by the user.
The average transit time of at least two peristaltic waves within a predetermined time in the peristaltic wave parameter can be obtained by averaging after determining the transit time of each single peristaltic wave within the predetermined time. And the peristalsis times in the peristalsis wave parameters can be obtained according to the received marked times. For example, the user may click on the waveform of each peristaltic wave in a predetermined time on the spatial distribution diagram when the peristaltic wave is generated, and the number of received clicks is the number of peristaltic waves in the predetermined time.
In other embodiments, the ultrasonic measurement system can also automatically measure the peristaltic parameters according to the spatial distribution pattern in the peristaltic wave to simplify the user operation.
Specifically, in one example, for a transit time of a single peristaltic wave in the peristaltic parameters, determining the transit time based on the spatial distribution profile in the peristaltic wave includes: respectively obtaining at least two curves of the peristaltic parameters at least two positions in the target area along with the time change based on the spatial distribution diagram during the peristaltic waves; and extracting corresponding time points of the same fluctuation section of the peristaltic waves on the at least two curves, and determining the transmission time of the peristaltic waves transmitted between the at least two positions according to the time interval between the corresponding time points. The corresponding time points can be characteristic points such as the wave crest and the wave trough of the same fluctuation segment, the starting point of the same fluctuation segment, the end point of the same fluctuation segment, the intersection point of the same fluctuation segment and a coordinate axis and the like on at least two curves. Illustratively, the at least two positions in the target area at least comprise two end positions of the target area, and then the transmission time from the entry of the peristaltic wave into the target area to the exit of the peristaltic wave from the target area can be obtained. For example, if the target area is a line segment, the at least two positions in the target area at least include two end positions of the line segment.
As shown in fig. 12, after the spatial distribution map of the peristaltic waves on the left side of fig. 12 is obtained, the longitudinal direction is scanned line by line, and the peristaltic curve obtained for each line is a peristaltic curve that varies with time at the corresponding position in space. The right side of fig. 12 shows the creep curves corresponding to the top and bottom positions of the spatial distribution pattern during the creep wave. And extracting corresponding time points of the same fluctuation segment on each peristaltic curve, wherein for example, the earliest time point of the first peak is t1, and the latest time point is t2, so that the transmission time of the first fluctuation segment of the peristaltic wave is t2-t 1. For example, the number of earliest and latest time points within a predetermined time may be determined as the number of writings within the predetermined time.
In another embodiment, determining the transit time based on a spatial distribution profile in the peristaltic wave comprises: obtaining a peristaltic curve of the peristaltic parameters at the preset position along with time change based on a spatial distribution diagram during peristaltic waves; and extracting corresponding time points on adjacent fluctuation sections on the peristaltic curve, and determining the transmission time of the peristaltic waves according to the interval time between the corresponding time points. The peristaltic parameters changing with time at the preset space position in the spatial distribution diagram during the peristaltic waves can be extracted, the peristaltic curves of the peristaltic parameters changing with time at the position are drawn, and the transfer time of the peristaltic waves is obtained according to the same peristaltic curve.
Specifically, when the endometrium continuously peristalses, the last peristalsis starts, and the previous peristalsis reaches the end of the target area. For example, if the target area is a line from the cervical end to the fundus end, if the endometrium continues to creep, then the second undulation at the cervical end begins when the first undulation is transferred to the fundus end. Thus, the transit time of the peristaltic wave can be determined from the interval time between corresponding points in time on adjacent wave segments.
Illustratively, referring to fig. 13, when the endometrium continuously peristalses, the peristalsis (e.g., speed, displacement, strain, etc.) curve of the point on the endometrium is a wave-like curve, and the time difference between two adjacent peaks on the curve is the time interval between two peristalses (i.e., t1, t2 and t3 in fig. 13), and is also the peristalsis wave transmission time when the endometrium continuously peristalses. Further, the time intervals (i.e., t1, t2 and t3 in fig. 13) between corresponding time points on every two adjacent fluctuation segments within the preset time can be determined, and the average value of the time intervals is calculated, so that the average time interval of a plurality of fluctuation segments, i.e., the average transmission time of each peristaltic wave in continuous peristalsis, is obtained.
In the embodiment of the present application, in addition to determining the transit time of the peristaltic wave according to the spatial distribution diagram of the peristaltic wave, the transit time of the peristaltic wave in the target region may also be determined in other manners. For example, the transit time of the peristaltic wave may be automatically analyzed from the peristaltic parameters based on a machine learning algorithm. Specifically, the machine learning algorithm may obtain the transmission time of the peristaltic wave by analyzing a morphological change rule of the endometrium or by observing a starting time of the peristalsis and an ending time of the same peristalsis.
In one embodiment, parameters of peristaltic waves such as the transfer time, the average transfer time, the peristalsis times and the like of the peristaltic waves can be displayed on the same display interface as the spatial distribution map when the ultrasound images and the peristaltic waves are used, so that a user can better identify and position the anatomical positions corresponding to the spatial distribution map when the parameters and the peristaltic waves are used. FIG. 14 illustrates an exemplary display interface showing an ultrasound image of the endometrium with a dog-leg region of interest displayed in the ultrasound image at the top left; the lower left side shows a peristaltic wave time-space distribution diagram, and the peristaltic wave time-space distribution diagram shows the marks of the peristaltic wave starting time point t1 and the peristaltic wave ending time point t2 by the user; the right side of the display interface displays parameters of the peristaltic waves obtained based on a space division diagram during the peristaltic waves, and the parameters specifically comprise the transfer time n of the peristaltic waves for m times1s、n2s、n3s……nms, the average transmission time ns of the peristaltic waves of m times, and relevant parameters of the peristaltic waves such as the peristaltic direction, the peristaltic frequency spectrum, the maximum amplitude, the average amplitude and the like.
According to the parameter measuring method of the peristaltic waves, the transfer time of the peristaltic waves is used as a new relevant parameter of the peristaltic waves to be quantized and output, and an objective measuring tool of the peristaltic waves is provided for a user.
Referring now back to fig. 1, the present application further provides an ultrasonic measurement system 100, and the ultrasonic measurement system 100 can be used to implement the above-mentioned parameter measurement method 900 of peristaltic waves. The ultrasound measurement system 100 may include components such as an ultrasound probe 110, a transmit circuit 112, a receive circuit 114, a processor 116, a display 118, and a memory 124, the relevant description of which may be found above. Only the main functions of the ultrasonic measurement system 100 will be described below, and details that have been described above will be omitted.
The transmitting circuit 112 is used for exciting the ultrasonic probe 110 to transmit a first ultrasonic wave to the endometrium of the measured object; the receiving circuit 114 is used for controlling the ultrasonic probe 110 to receive the ultrasonic echo returned by the endometrium of the tested object so as to obtain a first ultrasonic echo signal; the processor 114 is used for processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium of the tested object; and obtaining a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target area based on the peristaltic parameter changing along with time in the target area; the processor 114 is also configured to control an output device to output the peristaltic wave parameter, which may be displayed on the display 118, for example.
Other specific details of the ultrasonic measurement system 100 and the method 900 for measuring the parameter of the peristaltic wave implemented by the ultrasonic measurement system 100 may refer to the above description, and are not repeated herein.
Next, a parameter measurement method of a peristaltic wave according to another embodiment of the present application is described with reference to fig. 15. Fig. 15 is a schematic flow chart of a parameter measurement method 1500 of a peristaltic wave according to an embodiment of the present application.
As shown in fig. 15, the method 1500 for measuring parameters of a peristaltic wave of the present embodiment includes the following steps:
in step S1510, acquiring a peristaltic parameter over time within a target region in the endometrium;
in step S1520, obtaining a peristaltic wave parameter representing a peristaltic wave transmission state in the target region based on the peristaltic parameter varying with time in the target region;
in step S1530, the peristaltic wave parameter is output.
The method 1500 for measuring parameters of peristaltic waves is similar to the method 900 for measuring parameters of peristaltic waves, and the difference between the methods is mainly that: the method 1500 for measuring parameters of peristaltic waves does not limit the manner in which peristaltic parameters are obtained. For example, the parameter measurement method 1500 of the peristaltic wave may be determined in real time from the first ultrasound echo signal in the manner described above, may be determined from an ultrasound echo signal or an ultrasound image extracted from a storage medium, or may be directly extracted from the storage medium. In addition, the method 1500 for measuring parameters of peristaltic waves is substantially similar to the method 900 for measuring parameters of peristaltic waves, and reference may be made to the above description for details, which are not repeated herein.
The embodiment of the application also provides an ultrasonic measurement system which can be used for realizing the parameter measurement method 1500 of the peristaltic wave. The ultrasound measurement system includes a memory having stored thereon a computer program for execution by the processor, a processor, and an output device. Where the processor may be implemented in software, hardware, firmware, or any combination thereof, circuitry, single or multiple application specific integrated circuits, single or multiple general purpose integrated circuits, single or multiple microprocessors, single or multiple programmable logic devices, or any combination of the foregoing, or other suitable circuitry or devices may be used, and the processor may control other components in the electronic device to perform desired functions. The memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. One or more computer program instructions may be stored on the computer-readable storage medium and executed by a processor to implement the method 1500 of measuring parameters of peristaltic waves and/or various other desired functions in embodiments of the present application. The ultrasonic measurement system may be implemented as the ultrasonic measurement system 100 shown in FIG. 1.
According to the parameter measuring method of the peristaltic waves, the peristaltic wave parameters are used as new peristaltic wave related parameters to be quantized and output, and an objective measuring tool of the peristaltic waves is provided for a user.
In addition, the embodiment of the invention also provides a computer storage medium, and the computer storage medium is stored with the computer program. One or more computer program instructions may be stored on a computer-readable storage medium, the processor may execute the program instructions stored by the storage device to implement the functions of the embodiments of the present invention herein (implemented by the processor) and/or other desired functions, such as to perform the corresponding steps of the method for measuring parameters of peristaltic waves according to the embodiments of the present invention, and various applications and various data, such as various data used and/or generated by the applications, etc., may also be stored in the computer-readable storage medium.
For example, the computer storage medium may include, for example, a memory card, a storage component of a tablet computer, a hard disk of a personal computer, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a portable compact disc read only memory (CD-ROM), a USB memory, or any combination of the above storage media.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the foregoing illustrative embodiments are merely exemplary and are not intended to limit the scope of the invention thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present invention. The present invention may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (32)

1. A method for measuring parameters of a peristaltic wave, the method comprising:
transmitting a first ultrasonic wave to the endometrium of a tested object, and receiving an ultrasonic echo returned by the endometrium to obtain a first ultrasonic echo signal;
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and outputting the peristaltic wave array parameters.
2. The parameter measurement method of claim 1, wherein the peristaltic wave array parameters characterizing the state of peristaltic wave array propagation within the target region comprise at least one of:
the duration of a single peristaltic wave array, the number of peristaltic waves in the single peristaltic wave array, the interval time between two adjacent peristaltic wave arrays, the non-peristaltic time between two adjacent peristaltic wave arrays, the number of peristaltic wave arrays in preset time, the average duration of the peristaltic wave arrays in preset time and the average non-peristaltic time in preset time.
3. The parameter measurement method according to claim 2, wherein the obtaining of the peristaltic wave array parameter characterizing the transmission state of the peristaltic wave array in the target region based on the time-varying peristaltic parameter in the target region comprises:
generating a peristaltic wave time-space distribution graph according to the peristaltic parameters changing along with time in the target area, wherein the peristaltic wave time-space distribution graph represents the changes of the peristaltic parameters along with time and space;
and determining the peristaltic wave array parameters representing the transmission state of the peristaltic wave array in the target area based on the peristaltic wave spatial distribution diagram.
4. The parameter measurement method of claim 3, further comprising:
emitting a second ultrasonic wave to the endometrium of the tested object;
receiving a second ultrasonic echo returned by the endometrium to obtain a second ultrasonic echo signal;
processing the second ultrasonic echo signal to obtain an ultrasonic image of the endometrium;
determining the target region from the ultrasound image.
5. The parameter measurement method according to claim 3, wherein the determining the peristaltic wave array parameters characterizing the peristaltic wave array transmission state in the target region based on the peristaltic wave spatial distribution diagram comprises:
displaying a space division distribution diagram when the peristaltic waves occur;
obtaining the mark of the characteristic time point of the peristaltic wave array on the spatial distribution map when the peristaltic wave is generated;
and determining the parameters of the peristaltic wave array according to the time point corresponding to the label.
6. The parameter measurement method according to claim 5, wherein the characteristic time points of the peristaltic wave array comprise a start time point and an end time point of a single peristaltic wave array, and the peristaltic wave array parameters determined according to the start time point and the end time point of the peristaltic wave array comprise the duration of the single peristaltic wave array.
7. The parameter measurement method according to claim 5, wherein the characteristic time points of the peristaltic wave arrays comprise an ending time point of a previous peristaltic wave array and a starting time point of a next peristaltic wave array at the same position, and the parameters of the peristaltic wave arrays determined according to the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array at the same position comprise the interval time between two adjacent peristaltic wave arrays.
8. The parameter measurement method according to claim 5, wherein the characteristic time points of the peristaltic wave arrays comprise an end time point of a previous peristaltic wave array and a start time point of a next peristaltic wave array in two adjacent peristaltic wave arrays, and the parameters of the peristaltic wave arrays determined according to the end time point of the previous peristaltic wave array and the start time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays comprise a non-peristaltic time between the two adjacent peristaltic wave arrays.
9. The parameter measurement method according to claim 5, wherein the obtaining of the labeling of the characteristic time points of the peristaltic wave array on the spatial distribution map of the peristaltic wave comprises:
receiving a click operation performed on a characteristic time point of a peristaltic wave array on the peristaltic wave spatial distribution diagram during the peristaltic wave, and determining the position of the label according to the click operation;
or displaying an adjustable cursor on the spatial distribution graph during the peristaltic wave, receiving an adjusting operation of the adjustable cursor, and determining the position of the label according to the adjusting operation.
10. The parameter measurement method according to claim 3, wherein the determining the peristaltic wave array parameters characterizing the peristaltic wave array transfer state in the target region based on the peristaltic wave spatial distribution map comprises:
respectively obtaining at least two peristaltic curves of which the peristaltic parameters at least two positions in the target area change along with time based on the spatial distribution diagram during the peristaltic waves;
extracting time points corresponding to the peristaltic parameters on the at least two peristaltic curves when the peristaltic parameters reach a first threshold value;
dividing the time points with the interval time not exceeding a preset time interval into time points belonging to the same peristaltic wave array;
and determining the parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array.
11. The parameter measurement method according to claim 10, wherein the determining the peristaltic wave array parameters according to the start time point and the end time point of the peristaltic wave array comprises:
and determining the duration of the peristaltic wave array according to the interval time between the starting time point and the ending time point of the same peristaltic wave array on the at least two peristaltic curves.
12. The method for measuring parameters of claim 10, wherein the determining the peristaltic wave array parameters of the peristaltic wave array according to the starting time point and the ending time point of the peristaltic wave array comprises:
and determining the interval time between two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the two adjacent peristaltic wave arrays on the same peristaltic curve.
13. The parameter measurement method according to claim 10, wherein the determining the peristaltic wave array parameters of the peristaltic wave array according to the start time point and the end time point of the peristaltic wave array comprises:
and determining the non-peristaltic time between the two adjacent peristaltic wave arrays according to the interval time between the ending time point of the previous peristaltic wave array and the starting time point of the next peristaltic wave array in the time points of the two adjacent peristaltic wave arrays on the at least two peristaltic curves.
14. The parameter measurement method according to claim 3, wherein the determining the peristaltic wave array parameters characterizing the peristaltic wave array transfer state in the target region based on the peristaltic wave spatial distribution map comprises:
obtaining a peristaltic curve of peristaltic parameters at a preset position in the target area along with time variation on the basis of the peristaltic wave space division distribution diagram;
and extracting characteristic time points representing the transmission state of the peristaltic wave array on the peristaltic curve, and determining parameters of the peristaltic wave array according to the characteristic time points.
15. The parameter measurement method of claim 14, wherein determining the peristaltic wave array parameters from the characteristic time points comprises:
if the duration time of the peristaltic parameters on the peristaltic curves, which is smaller than a first threshold value, exceeds preset time, extracting a starting time point and an ending time point of the peristaltic parameters, which are smaller than the first threshold value, taking an interval between the starting time point and the ending time point as a non-peristaltic interval at the preset position, and determining the non-peristaltic time according to the interval time between the starting time point and the ending time point.
16. The method of claim 15, wherein determining the peristaltic wave array parameters from the characteristic time points further comprises:
and acquiring two adjacent sections of the non-creep intervals, and determining the duration time of the creep wave array between the two adjacent sections of the non-creep intervals according to the interval time between the starting time point of the next section of the non-creep interval and the ending time point of the previous section of the non-creep interval.
17. The parameter measurement method of claim 15, wherein determining the peristaltic wave array parameters from the characteristic time points comprises:
extracting a second time point on the peristaltic curve, wherein the peristaltic parameter is larger than a second threshold value;
extracting a first time point, adjacent to each second time point, of which the peristaltic parameter is greater than a first threshold value, wherein the first threshold value is smaller than the second threshold value, and the direction of the peristaltic parameter corresponding to the first time point is the same as that of the peristaltic parameter corresponding to the second time point;
dividing the first time points with the interval time less than the preset interval time into first time points belonging to the same peristaltic array, and determining the duration of the peristaltic array according to the interval time between the first time point and the last first time point in the first time points belonging to the same peristaltic array.
18. The parameter measurement method according to claim 1, wherein the obtaining of the peristaltic wave array parameter characterizing the transmission state of the peristaltic wave array in the target region based on the time-varying peristaltic parameter in the target region comprises:
and automatically analyzing the peristaltic wave array parameters representing the transmission state of the peristaltic wave array in the target area according to the peristaltic parameters based on a machine learning algorithm.
19. The parameter measurement method according to any one of claims 1 to 18, wherein the outputting the peristaltic wave array parameter includes:
and displaying the peristaltic wave array parameters in at least one of a graph, a numerical value and a grade.
20. A method for measuring parameters of a peristaltic wave, the method comprising:
acquiring a peristaltic parameter which changes along with time in a target area in endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and outputting the peristaltic wave array parameters.
21. A method for measuring parameters of a peristaltic wave, the method comprising:
transmitting a first ultrasonic wave to the endometrium of a tested object, and receiving an ultrasonic echo returned by the endometrium to obtain a first ultrasonic echo signal;
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target area based on the peristaltic parameter changing along with time in the target area;
and outputting the peristaltic wave parameters.
22. The parameter measurement method of claim 21, wherein the peristaltic wave parameter comprises at least one of: the delivery time of a single peristaltic wave, the average delivery time of at least two peristaltic waves within a predetermined time, and the number of peristaltic waves within a predetermined time.
23. The parameter measurement method of claim 21, wherein the deriving a peristaltic wave parameter characterizing a state of peristaltic wave propagation within the target region based on the time-varying peristaltic parameter within the target region comprises:
generating a space division distribution map when the peristaltic waves are generated according to peristaltic parameters which change along with time at different positions in the target area, wherein the space division distribution map when the peristaltic waves are generated represents the change of the peristaltic parameters along with time and space;
and determining the peristaltic wave parameters based on the spatial distribution map in the peristaltic wave.
24. The parameter measurement method of claim 23, wherein the peristaltic wave parameter comprises a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the peristaltic wave spatial distribution map comprises:
displaying a space distribution map when the peristaltic waves are generated;
obtaining the labels of time points of peristaltic waves transmitted to different positions in the target area on the spatial distribution diagram during the peristaltic waves;
and determining the transmission time of the peristaltic waves transmitted between the different positions according to the time point corresponding to the label.
25. The parameter measurement method of claim 23, wherein the peristaltic wave parameter comprises a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the peristaltic wave spatial distribution map comprises:
respectively obtaining at least two curves of the peristaltic parameters at least two positions in the target area along with the time change based on the spatial distribution diagram during the peristaltic waves;
and extracting corresponding time points of the same fluctuation section of the peristaltic waves on the at least two curves, and determining the transmission time of the peristaltic waves transmitted between the at least two positions according to the time interval between the corresponding time points.
26. The method according to claim 25, wherein the corresponding time points include time points corresponding to a peak value of a same fluctuation segment, a start point of a same fluctuation segment, or an end point of a same fluctuation segment on the at least two curves.
27. The parameter measurement method of claim 23, wherein the peristaltic wave parameter comprises a transit time of a single peristaltic wave, and the determining the peristaltic wave parameter based on the peristaltic wave spatial distribution map comprises:
obtaining a peristaltic curve of the peristaltic parameters at the preset position along with time change on the basis of the spatial distribution map of the peristaltic waves;
and extracting corresponding time points on adjacent fluctuation sections on the peristaltic curve, and determining the transfer time according to the interval time between the corresponding time points.
28. The parameter measurement method of claim 21, wherein the deriving a peristaltic wave parameter characterizing a state of peristaltic wave propagation within the target region based on the time-varying peristaltic parameter within the target region comprises:
and automatically analyzing the peristaltic wave parameters according to the peristaltic parameters based on a machine learning algorithm.
29. The parameter measurement method of any of claims 1-28, wherein the peristaltic parameter comprises at least one of: peristaltic velocity, tissue displacement, tissue strain.
30. A method for measuring parameters of a peristaltic wave, the method comprising:
acquiring a peristaltic parameter which changes along with time in a target area in endometrium;
obtaining peristaltic wave parameters transmitted by peristaltic waves in the target area based on the peristaltic parameters changing along with time in the target area;
and outputting the peristaltic wave parameters.
31. An ultrasonic measurement system, the system comprising:
an ultrasonic probe;
the transmitting circuit is used for exciting the ultrasonic probe to transmit first ultrasonic waves to the endometrium of the tested object;
the receiving circuit is used for controlling the ultrasonic probe to receive the ultrasonic echo returned by the endometrium so as to obtain a first ultrasonic echo signal;
a processor to:
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining peristaltic wave array parameters representing the transmission state of the peristaltic wave arrays in the target area based on the peristaltic parameters changing along with time in the target area, wherein each peristaltic wave array comprises a single or a plurality of peristaltic waves, and the time interval between two adjacent peristaltic waves in the same peristaltic wave array is not greater than a preset threshold value;
and the display is used for outputting the peristaltic wave array parameters.
32. An ultrasonic measurement system, the system comprising:
an ultrasonic probe;
the transmitting circuit is used for exciting the ultrasonic probe to transmit first ultrasonic waves to the endometrium of the tested object;
the receiving circuit is used for controlling the ultrasonic probe to receive the ultrasonic echo returned by the endometrium so as to obtain a first ultrasonic echo signal;
a processor configured to:
processing the first ultrasonic echo signal to obtain a peristaltic parameter which changes along with time in a target area in the endometrium;
obtaining a peristaltic wave parameter representing the transmission state of the peristaltic wave in the target area based on the peristaltic parameter changing along with time in the target area;
and the display is used for outputting the peristaltic wave parameters.
CN202011197750.4A 2020-10-30 2020-10-30 Parameter measurement method of peristaltic waves and ultrasonic measurement system Pending CN114529492A (en)

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