CN106934807A - A kind of medical image analysis method, system and Medical Devices - Google Patents
A kind of medical image analysis method, system and Medical Devices Download PDFInfo
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Abstract
The invention provides a kind of medical image analysis method, system and equipment, its method includes:If importing main line view data;The spatial coordinate location of the view data of not going the same way to importing carries out registration, sets up registering relation;One or more view data is selected, one or more target areas are partitioned into every road view data;The feature of the target area that extraction is partitioned into, by target area according in registering relationship map to other images;Any space plane position is specified, the image after registration is generated into some tangent plane pictures;Different tangent plane location drawing pictures correspondence is shown in different subwindows, the same position tangent plane picture from different images data is shown in same subwindow.The method overcome display mode of the prior art can not embody the volume characteristics of 3 d image data, and it is unfavorable for comparing the technical problem of difference between different images, the space correspondence position relation of the trickle gap and targeted tissue structure of same mode or different modalities image in different modalities and phase image can fast, be effectively observed, image comparison analysis is convenient for.
Description
Technical field
The present invention relates to a kind of medical image analysis method, system and Medical Devices, belong to Medical Imaging Technology field.
Background technology
At present, needed for clinical diagnosis, patient can enter in medical imaging to the histoorgan of same body part
The collection inspection (such as CT, MRI, ultrasound) of row plurality of medical image documentation equipment image, it is different with same medical imaging device
The collection inspection (such as ultrasonic contrast figure, organization chart) of mode image, and inspect periodically different times under the same mode of collection
Image (such as perioperatively, disease cycle different phase), for example, in the therapeutic process of tumour, either surgery hand
Art or Minimally Interventional Therapy, are required for carrying out focus upgrowth situation periodic review, and are required for gathering tumour mesh every time
Mark the imaging in region.In the process, the Main Analysis evaluation and test means of tumour growth situation or simple measurement target swell
The major diameter change in knurl region.But, because the position of each IMAQ is different, it is difficult to ensure that the radial longitudinal section long position found
The uniformity put, therefore the accuracy of major diameter measurement is not high;On the other hand, the completion effect of intervention ablation operative treatment is judged
Whether completely fruit, it is necessary to analyze the region of ablation, whether ablation stove has covered all tumor region and reserved ablation
Secure border, accordingly, it would be desirable to a range of image around perioperatively collection oncotherapy region, in image
Each self-contained tumor focus or ablation stove, then make picture material location matches by appropriate image segmentation, registration,
Can just view melt covering state of the stove to focal area in arbitrary correspondence tangent plane.
Additionally, in the prior art, image registration fusion displaying scheme has been applied in Medical Image Processing, its display side
Method is broadly divided into two classes, and a class is that two associated tangent plane pictures are synchronously displayed side by side into two subwindows on screen
In, so by the way of being displayed side by side so that two images size will necessarily be limited by screen size, and when two
When width picture size difference is larger, big image can be caused to show incomplete or small image with same ratio chi Zoom display image
Displaying ratio is too small, therefore, larger image must be cut out to adapt to limited screen window size, even if however,
Normal side by side to show two groups of same profiles of data after registration simultaneously, the difference of picture material Pixel-level is here it is shown that pattern
Lower dependence human eye also is difficult to be distinguish between;Another kind of display methods be by two width registration tangent plane chi in the same scale, according to
Given integration percentage is overlapped display, it is to avoid same screen is displayed side by side two problems of window limit picture size,
Although the registering institutional framework in image can be with individual element correspondence, two images show to produce and mutually do simultaneously
Reduction vision addressability is disturbed, and existing fusion display is all the superposition between multi-modal data, is superimposed with ultrasonoscopy
CT/MRI is in the majority, is not shown with the fusion between modal data, and the view data property with mode is close, and fusion superposition is aobvious
Show that the discrimination of rear image is inadequate, it is impossible to judge each different parts otherness of target area on three dimensions, even if
It is the precision of the image difference alienation that the superposition between different modalities image is shown nor highly desirable.
The content of the invention
Therefore, an object of the present invention is directed to the volume characteristics that display mode of the prior art can not embody data,
And the technical problem of the difference of the image that is unfavorable for not going the same way, there is provided one kind can fast, effectively observe same mode or
Trickle gap after different modalities image registration, and space pair of the targeted tissue structure in different modalities and phase image
Position relationship is answered, method, system and the equipment of image comparison analysis is convenient for.
In some embodiments of the present invention, there is provided a kind of medical image analysis method, comprise the following steps:
If receiving main line view data;
If carrying out registration to main line view data described in reception, if the registering relation set up between the view data of the main line;
If selecting one or more view data from the main line view data, in one or more picture number selected
One or more target areas are partitioned into;
By target area according in registering relationship map to other road view data;
If the main line view data according to after registration, if the main line view data after generation registration is specified more
Multiple tangent plane pictures on individual space plane;
The tangent plane picture correspondence that will be located in different spaces plane in the multiple tangent plane picture is shown in different subwindows,
And the tangent plane picture switching being located in same space plane in wherein the multiple tangent plane picture is displayed in same subwindow
In.
In some embodiments of the present invention, also include:The feature of the target area that extraction is partitioned into, the mesh that extraction is partitioned into
Marking the feature in region includes extracting the contour feature data or volume data of target area.
In some embodiments of the present invention, the method also includes:By the contour feature data or volume data using pseudo- color
The mode additive fusion of color or shade or crisperding is displayed on the tangent plane picture in each subwindow.
In some embodiments of the present invention, if described some after the main line view data generation registration according to after registration
Multiple tangent plane pictures of the road view data on specified multiple space planes include:According to specified space plane position,
If finding the correspondence position of registration in the main line view data and contour feature data or volume data, interpolation generates the sky
If between the image of serial section that intersects respectively with the main line view data after registration of plane.
In some embodiments of the present invention, if the main line view data includes at least two-way 3 d image data.
In some embodiments of the present invention, the sectional drawing that will be located in the multiple tangent plane picture in different spaces plane
Include as correspondence is shown in different subwindows:Several subwindows are shown with view data all the way in different spaces simultaneously
Tangent plane picture in plane.
In some embodiments of the present invention, if the main line view data includes at least two-dimensional image data and all the way three all the way
Dimensional data image.
In some embodiments of the present invention, the tangent plane picture pair that will be located in the multiple tangent plane picture in different spaces plane
Different subwindows should be shown in be included:Tangent plane picture corresponding with the two-dimensional image data position is shown in the son
In some window in window, by parallel remaining of the tangent plane picture corresponding with the two-dimensional image data position
Tangent plane picture correspondence is shown in other subwindows.
In some embodiments of the present invention, the method also includes:The mark behaviour that reception is carried out on the image of any subwindow
Make, by the result synchronization map of the labeling operation to all tangent plane pictures shown in same subwindow.
In some embodiments of the present invention, if the main line view data is different modalities, different phases and/or different dimensions
View data.
A kind of medical image analysis system, including following part are additionally provided in some embodiments of the present invention:
Data acquisition unit:If receiving main line view data;
Image registration unit:If carrying out registration to main line view data described in reception, if setting up main line view data
Between registering relation;
Target area cutting unit:If selecting one or more view data from the main line view data, rotating out of
One or more view data in be partitioned into one or more target areas;
Integrated unit:By target area according in registering relationship map to other road view data;
Tangent plane generation unit:If the main line view data according to after registration, if the main line image after generation registration
Multiple tangent plane pictures of the data on specified multiple space planes;
Display unit:The tangent plane picture correspondence that will be located in different spaces plane in the multiple tangent plane picture is shown in difference
The tangent plane picture switching being located in same space plane in subwindow, and in wherein the multiple tangent plane picture is displayed in same
In one subwindow.
In some embodiments of the present invention, the integrated unit also extracts the feature of the target area being partitioned into, and extracts segmentation
The feature of the target area for going out includes extracting the contour feature data or volume data of target area.
In some embodiments of the present invention, the contour feature data or volume data using pseudo-colours or shade or
The mode additive fusion of person's crisperding is displayed on each subwindow image.
In some embodiments of the present invention, the tangent plane generation unit according to the space plane position specified, described some
The correspondence position of registration is found in road view data and contour feature data or volume data, interpolation generates the space plane and matches somebody with somebody
If the image of the serial section that the main line view data after standard intersects respectively.
In some embodiments of the present invention, if the main line view data includes at least two-way 3 d image data.
In some embodiments of the present invention, in the display unit, several subwindows show with view data all the way simultaneously
The tangent plane picture in different spaces plane.
In some embodiments of the present invention, if the main line view data includes at least two-dimensional image data and all the way three all the way
Dimensional data image.
In some embodiments of the present invention, in the display unit, will tangent plane corresponding with the two-dimensional image data position
Image is shown in some window in the subwindow, corresponding with the two-dimensional image data position described will be cut
Image parallel remaining tangent plane picture correspondence in face is shown in other subwindows.
It is enterprising in the image of any subwindow for receiving also including interactive operation unit in some embodiments of the present invention
Capable labeling operation, by the result synchronization map of the labeling operation to all tangent plane pictures shown in same subwindow
On.
In some embodiments of the present invention, if the main line view data is different modalities, different phases and/or different dimensions
View data.
A kind of medical imaging device, including the medical science shadow described in any of the above are additionally provided in some embodiments of the present invention
As system.
Above-mentioned technical proposal of the invention can have advantages below compared to existing technology:
(1) the medical image analysis method of some embodiments of the invention, comprises the following steps:If importing main line view data;
The spatial coordinate location of the view data of not going the same way to importing carries out registration, sets up registering relation;Select one or more figure
As data, one or more target areas are partitioned into every road view data;The feature of the target area that extraction is partitioned into,
By target area according in registering relationship map to other images;Designated space plan-position, by the image generation after registration
Tangent plane picture;Different tangent plane pictures correspondence is shown in different subwindows.Therefore, analysis method of the invention is to multichannel
Image is processed, and the target area in multiway images is registrated in other images, and designated space position as needed
Generation tangent plane picture, can preferably embody graphics by way of the different spatial multiple tangent planes of correspondence generation
As the feature of image of data different spatial, the volume characteristics of target area are obtained, make its position in whole space
The relation of putting is able to embody well, and by the way of multiple subwindows show different tangent plane pictures, will view data all the way
Different tangent planes can show simultaneously, overcome Dual-window of the prior art and be displayed side by side and additive fusion display side
The plane pictures such as formula show the defect of the volume characteristics that can not embody three-dimensional data;Meanwhile, it passes through to import image of not going the same way
Data, can by certain all the way view data more clearly target area segmentation, be mapped in other registration images,
It is easy to observe the different types of view data that different imaging devices, different modalities are obtained in an image, facilitates image
Between comparative analysis, can preferably with reference to different types of data advantage;Also, by will be from different images
In the tangent plane of same spatial location be shown in same subwindow, display, energy are switched between view data of not going the same way
It is enough fast, effectively to observe with the trickle gap after mode or different modalities image registration.
(2) the medical image analysis method of some embodiments of the invention, the feature of the target area that extraction is partitioned into includes carrying
Take the contour feature data or volume data of target area, the contour feature data or volume data using pseudo-colours or
The mode additive fusion of person's shade or crisperding is displayed on each subwindow image, therefore, it can by pseudo-colours, the moon
Be highlighted on the profile of target area in other images by the mode of shadow or crisperding, is easy in the same window see simultaneously
The space correspondence position relation for comparing certain specific target areas in different modalities and phase image is examined, and using pseudo- color
The mode of color or shade or crisperding shows that profile information is not the superposition of actual image data, easily by target figure
As region and profile make a distinction, and only need to the room and time expense for minimizing.
(3) the medical image analysis method of some embodiments of the invention, if when the main line view data includes at least two-way
During 3 d image data, several subwindows show the different tangent plane positions with view data all the way simultaneously, therefore, graphics
As the volume characteristics of data can be shown by multiple orderly subwindow forms, if also, when main line image
Data include at least all the way two-dimensional image data and all the way 3 d image data when, the two-dimensional image data position is corresponding
Tangent plane is shown in some window in the subwindow, and tangent plane is corresponding is shown in other for remaining parallel with the tangent plane
In subwindow, thus it is guaranteed that the tangent plane with two dimensional slice image correspondence position in 3 d image data can be selected
Come so that the feature of two dimensional slice image can match correspondence with the corresponding tangent plane in 3 d image data, by both spies
Levy and accurately combine and reflect, so as to conveniently be analyzed.
(4) the medical image analysis method of some embodiments of the invention, the tangent plane of identical registration position in each road view data
Image switching is shown in same subwindow, and the tangent plane picture size is identical, and resolution ratio is identical, each location of pixels correspondence,
Ensure that when do not go the same way that image switches, the tangent plane picture of corresponding identical registration position may be displayed on same in same window
One position, and by location of pixels correspondence between registering image, so that the trickle gap of more convenient resolution image.
(5) the medical image analysis method of some embodiments of the invention, is labeled operation on the image of any subwindow,
The result synchronization map of the labeling operation is reacted on all matching image sequences of same subwindow, therefore, when to one
After individual image is marked, repeating label is not needed in other road images of image correspondence tangent plane position, be easy to comparing each
The difference of individual image, it is reasonable in design, it is simple to operate.
(6) the medical image analysis method of some embodiments of the invention, if the main line view data be from different modalities,
Different phases, the combination of any road view data of different dimensions, therefore, it can target area in different modalities as needed
Compare clearly certain target area all the way in image to split, in additive fusion to another modal data, be easy to spy
Set the goal region image comparison analysis, and it is possible to sufficiently using different imaging devices characteristic image data, just
In observation disease development change.
(7) the medical image analysis system and equipment of some embodiments of the invention, due to using the above method, therefore with upper
All advantages that the method for stating has.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, below according to specific embodiment of the invention and with reference to attached
Figure, the present invention is further detailed explanation, wherein
Fig. 1 is the multichannel data fusion flow for displaying schematic diagram of embodiment one;
Fig. 2 is the analysis method schematic flow sheet of embodiment one;
Fig. 3 is that the area-of-interest of embodiment one chooses schematic diagram;
Fig. 4 is the system display interface distribution map of embodiment five;
Fig. 5 is the multichannel data matching flow for displaying control figure of embodiment five;
Specific embodiment
A kind of medical image analysis method of the invention, system and medical supply are carried out specifically with reference to specific embodiment
Description:
Embodiment one
As shown in figure 1, the medical image analysis method of the present embodiment, can include three parts:The collection of data is imported,
Graphical analysis, and image shows.
As shown at step 200, in data acquisition steps for importing, can first obtain, load all types of image datas,
Then, into image analyzing section, graphical analysis can include the image registration shown in step 201, shown in step 202
Image segmentation, and region of interest area image shown in step 203 chooses, so as to realize doing respective handling to each data,
The tangent plane picture for showing is generated, finally, as indicated in step 204, the tangent plane picture sequence that image analyzing section is generated
Row and parameter information send into display unit, carry out multiple sections fusion display.
In addition, the medical image analysis method of the present embodiment can also include interactive operation, for operating process control, ring
The manipulation of the view data using family to showing, for example, the reading of image and display switching control, image trace,
Target selection, interactive registration etc..
Preferably, as shown in Fig. 2 the medical imaging analysis method of the present embodiment, may include steps of:
As shown in step 101, first, if importing main line view data;
In some embodiments of the present invention, if the main line view data can include different dimensions, different modalities, difference
Any group of view data combination of phase, the view data of the different modalities can be the difference from different imaging devices
The view data of data type, or adopted under different working modes, different parameters setting from same imaging device
The view data for collecting, for example, the multiway images data can include ultrasound image data, CT view data, MRI
View data, PET image data, X-Ray view data, it is also possible to while comprising ultrasonoscopy, CT/MRI images, or
It is the image of various imaging patterns such as organization chart, radiography figure, the rheography of the imaging device multi collect such as CT, MR, ultrasound
Data, or same type image multi collect and its arbitrary combination, the multiway images data include two dimensional image
Data, 3 d image data, or include two dimension, 3 d image data and combinations thereof simultaneously.
Then, as shown at step 1 02, the spatial coordinate location of the view data of not going the same way to importing carries out registration, sets up
Registering relation, so as to each image is converted into same relative physics space coordinates;
For example, in some embodiments, the method for registering can include:
The mechanical movement of equipment is positioned to determine the registration transformation relation of image when being generated by IMAQ, and realization is once adopted
Image registration between collection multi-channel image data;Or, image registration algorithm is directly passed through by the structural information in view data
The evolution relation between each circuit-switched data is found, the registration between multi collect data is realized;Or, borrowed in IMAQ
The elements of a fix of the space orientation equipment recording image data of similar GPS are helped, phase is calculated by the elements of a fix of each data record
Mutual transformation relation;
For example, in a kind of specific implementation, the image registration algorithm that registration is used between the view data of not going the same way of importing
The evolution relation between each circuit-switched data is found, it mainly includes the method for measuring similarity between image and the mapping between image
Method, it is different according to mapping method, rigid body translation, affine transformation and nonlinear transformation can be divided into, here, first will
The image two-by-two of registration is needed to use corresponding interpolation method, such as bilinearity difference arithmetic, scaling to same yardstick, then
Rotation and translation registration is carried out according to rigid body to calculate, it is assumed that pixel is X in certain road view dataiBrightness of image be
f(Xi), another road image data pixel point YiBrightness of image be g (Yi), map between two-way view data and be represented by:
The similarity measurements flow function between definable two-way view data is simultaneouslyIt is above-mentioned similar
Property measurement algorithm model it is more, do not specifically describe herein, meanwhile, the f (X in metric functioni), g (Yi) can be with
It is defined as partial gradient size, the local gray level business of corresponding data etc. form.
However, the method for registering of the present embodiment is not limited thereto, can be calculated using many autoregistrations of the prior art
Method etc., as long as can realize that all image space positions correspond the requirement for just meeting the present embodiment.
As shown in step 103, one or more view data is selected, one or more are partitioned into every road view data
Target area;
In some embodiments, can split in targeted tissue structure in the multichannel data compares clearly a certain circuit-switched data
Go out target area, for example, the multiway images data include ultrasound image data and CT view data, wherein CT figures
Bone image region as in is more clear, then can be by the bony areas region segmentation in CT images out;
Meanwhile, in the present embodiment, the algorithm of image segmentation has multiple choices, it is for instance possible to use Graph Cut are calculated
Method, the difference automatically according to the inside and outside intensity profile of target tissue region carries out the automatic segmentation of target area;Or
Person, using the method for manual segmentation, sketches the contours of the edge of target area on each two-dimentional synusia of three-dimensional data, is based on
These two-dimentional edges can generate said three-dimensional body and shape;
However, the dividing method of the present embodiment is also not limited to this, various partitioning schemes can be used, will figure as long as realizing
As targeted tissue structure extracted region crucial in data out, you can meet the requirement of the present embodiment.
It should be noted that image registration and image segmentation order in no particular order, can be by the first registration of each image, by registration
The target area in some or multiple images in image splits, and according to the registering relation set up in registration process
It is mapped in remaining registering image;The target area in some or multiple images can also be first partitioned into, then will segmentation
Result registration is mapped in each registering image.
Further, the segmentation object region in arbitrary image in the multiway images of input, can be 2 dimensional region segmentation,
Can also be 3D region segmentation, i.e., the above method can be partitioned into target area in two dimensional image, or in graphics
Target area is partitioned into as in.
Further, the cut zone is also not limited to one, can according to actual needs carry out one, two or many
The segmentation of individual target area;
Then, as indicated at block 104, the feature of the target area being partitioned into is extracted, by target area according to registering relation
It is mapped in other images;
In some embodiments, the feature of the target area of the present embodiment can be the contour feature or volume data feature in region.
Further, all images of input under the same coordinate system by that after registration, can find the right of all pixels point
Should be related to, same spatial location is found in the target area position in this step according to registering relation in other registering images
Corresponding region, so as to complete the mark of segmentation object region registration position.
Next the fusion Overlapping display of the target area of all registering images and segmentation is completed:
As shown, designated space plan-position, tangent plane picture is generated by the image after registration;
In this step, the correspondence position of registration, generation are found in the target area of the multiway images data and segmentation
Tangent plane picture, so as to generate correct two dimensional image tangent plane in subwindow, it is necessary to illustrate, if the image for importing
Data include two-dimensional image data, and the space plane position can be the two dimensional slice position;
Area-of-interest chooses implementing for process during Fig. 3 shows this step, and 3 d image data 401 and 402 is
A certain same section histoorgan gathers two groups of 3 d image datas of acquisition from different perspectives, in the present embodiment, with same
Mode CT data represent (can also be the data such as ultrasound or MRI), and it can also be two groups of data of any mode,
It converts it to and look in the same space coordinate system by having determined spatial transform relation between the two after registration mapping
Arrived the one-to-one corresponding position of each pixel, then, specify a certain space plane, interpolation generate the space plane with it is registering
The tangent plane sectional drawing that two groups of three-dimensional datas intersect respectively afterwards, the tangent plane 403 and 404 shown in figure is in two groups of graphics
As the intersecting tangent plane of the correspondence obtained in data, because two groups of three-dimensional datas are by registration operation, cutting flat with the same coordinate system
Face is returned in each image coordinate system through coordinate inversion, and the relative tangent plane position obtained in two groups of three-dimensional datas simultaneously differs,
But what the content in cross-sectional image was consistent with.
Further, the intersecting tangent plane picture of two width registration that analysis is obtained, due to space shape of the three-dimensional cube in collection
Shape is not necessarily identical, and intersection location of the same space plane after two cube registrations is also different, two two of acquisition
The intersecting cross sectional shape of dimension also can be different, even if for example, truncated picture in the intersecting tangent plane 403 and 404 of 3-D view
Inside have that part is identical, but coordinate position of the identical content in two width two dimensional images is not corresponding one by one, such as Fig. 3
Two shown width intersection graphs as 405 it is registered after be placed in the same space coordinate system, it is seen that there is the weight of subregion in both
It is folded.
In the present embodiment, to ensure that picture material presses the corresponding relation one by one of location of pixels in two width tangent planes, is first according to
Same scaling ratio is by two images interpolation amplification to same ratio scale size;Again using a certain standard picture size as aobvious
The effective coverage reference range shown, dotted rectangle is used as the final area-of-interest benchmark of intersecting tangent plane picture in such as 405
Scope, the registering lap image-region of two width tangent planes is cut out by this picture size respectively, and removal has beyond benchmark picture
The parts of images of scope is imitated, and there is no the lack part for overlapping to be filled with background colour in the range of benchmark picture intersecting tangent plane
Polishing.
Further, the selection of area-of-interest standard picture size, the demand that can be shown according to image window is done
Modification is set, for example, benchmark is done using the circumscribed rectangle of overlap-add region shape after the intersecting section registration of two width, or, will
Wherein the size of a width cross-sectional image is used as reference range etc..
However, the method for determination of display picture size is not limited to, can sets itself picture as needed size,
Cutting out, zooming to the design philosophy of same standard picture herein with the map function between two groups of three-dimensional datas in the present embodiment
It is been described by, is only the method for Accurate Expression the present embodiment, but, however it is not limited to the analytic transformation between two groups of data,
The display processing between multiple data more than two can be used in.
Tangent plane 406,407 shown in Fig. 3 is that intersecting tangent plane 403,404 is interested according to the dotted line set in the present embodiment
Reference range is cut out, splices, and the final two width tangent plane pictures for rebuilding generation, two images have an equal amount of picture
Size, so as to section corresponding in image of not gone the same way, also, by registration, in image effective content according to
Location of pixels is one-to-one, and image center position is consistent.
Finally, in step 106, different tangent plane pictures correspondence can be shown in different subwindows, each subwindow
Switching tangent plane picture positioned at same space plane of the display from view data of not going the same way." switching display " mentioned here
Refer in a subwindow, sometime showing the tangent plane picture from view data all the way, and when by the scheduled time
Afterwards or when switching command is received, the tangent plane picture from another road view data is shown in the same subwindow.
For example, in some embodiments, multiple parallel equidistant tangent plane picture sequences that same view data all the way is obtained are in order
Each subwindow is assigned to, the profile of some target areas being partitioned into can be shown by the way of translucent mask layer,
For example, with pseudo-colours, and/or, shade, and/or, crisperding mode additive fusion is displayed on subwindow image, is passed through
It is easy to the contrast of relevant position in the contour shape of translucent mask layer and image in the image of the same window, observes
The situation of change of the target area being partitioned into.
Further, the profile in the different target region being partitioned into can be made a distinction using different colors;
Further, the transparency of translucent mask layer can be adjusted;
Further, multiple subwindows are displayed side by side using matrix-style, and the quantity of the subwindow can be adjusted;
In the present embodiment, the multiway images data include at least two-way 3 d image data, and several subwindows are simultaneously
Show the sectional drawing of identical registration position in the same group of different tangent plane positions of view data, also, different group view data
As being alternately shown in same subwindow, the tangent plane picture size is identical, each location of pixels correspondence.
For example, in some embodiments, being simultaneously displayed in subwindow side by side with the different tangent planes of view data all the way, phase
The same same tangent plane position of subwindow correspondence display, therefore, show the side of different tangent plane pictures simultaneously by multiple subwindows
Formula can embody the volume characteristics of three-dimensional data, and by being switched fast the view data do not gone the same way, be easy to comparing same
Nuance between the image of the display in one subwindow.
Further, operation is labeled on the image of any subwindow, the result synchronization map of the labeling operation is anti-
Should on all matching image sequences of same subwindow, therefore, after being marked to an image, the image correspondence cuts
Repeating label is not needed in other road images of face position, is easy to compare the difference of each image, reasonable in design, operation letter
It is single;
Further, the labeling operation is including measurement, trace etc.;
Further, some groups of view data are any group of view data combination from different modalities, different phases,
Therefore the analysis method of the present embodiment can combine the arbitrary data of different mode, phase, so that using different imagings
The characteristics of data type, carries out comprehensive analysis.
The specific practical application of medical image analysis method of the invention is set forth below:
In a kind of practical application example, the ablative surgery treatment of tumour needs the completion for judging intervention ablation operative treatment to imitate
Really, using the analysis method of the present embodiment, the two-way tumor tissue sections of operation consent and Post operation different time can be imported
View data, such as CT 3 d image datas first, registration carry out to operation consent and postoperative view data, set up
Registering mapping relations, then, select preoperative view data all the way, and tumor tissues are split, and extract target
The contour feature data of tumor region, and the registering relationship map that target tumor region passes through to establish is performed the operation to another road
In view data afterwards, then, a space plane position is specified, found in two-way view data and contour feature data
The correspondence position of registration, interpolation generates the tangent plane that the space plane intersects respectively with the two-way view data after registration, and presses
Other other tangent planes parallel with the space plane are generated according to preset distance, then, multiple obtained with view data all the way
Parallel cut surface image sequence is assigned to each subwindow in order, and preoperative target tumor region is marked with pseudo-colours and is superimposed
In fusion tangent plane picture after surgery, the profile letter original such that it is able to observe tumour in image slices after surgery
Breath, so can by observe ablation stove it is whether real cover all pseudo-colours regional extent, judge whether tumour disappears
Melt completely, and pass through the entirety switching of each subwindow tangent plane picture, and same subwindow corresponds to the figure of same slice position
As data, the organization chart picture situation of change of paired observation two-way image, i.e. perioperatively is convenient to preoperative, postoperative image
The contrast of trickle gap.
In another practical application example, the therapeutic process of tumour needs to carry out periodic review to focus upgrowth situation, often
The secondary imaging for needing to gather tumor target region, the method for the present embodiment, the tissue of the organization chart picture that different phase is gathered
Organ structure carries out maximum location matches, in same subwindow, the tissue of switching display different phase collection
Correspond to the same tangent plane position of image of not going the same way in image, also, same subwindow, location of pixels be it is corresponding,
Therefore it is easy to observe the situation of change of image of not going the same way, is easy to observe the development and change situation of growth cycle inner disease foci each several part.
In another practical application example, in liver organization ultrasonoscopy, before contrast agent perfusion, blood vessel structure
Low echo black tube chamber form is presented, liver organization is highlighted for echo high, after contrast agent blood vessel filling function, radiography
Agent enhances echo, and Ink vessel transfusing blood flow is equally in be highlighted, now, will be difficult with the image-region of liver organization
To differentiate, now, using the analysis method of the present embodiment, the two-way image before importing contrast agent perfusion and after perfusion
Data, and the spatial coordinate location of the two-way view data to importing carries out registration, sets up corresponding registration relation, then
By the blood vessel segmentation in the organization chart picture (or the imaging mode image at contrast agent full moment) before contrast agent perfusion out,
Target blood region registration is mapped in the view data after contrast agent perfusion, and designated space plane generation tangent plane picture,
Because ultrasonoscopy is two-dimensional slice image, therefore in these embodiments, the space plane is actual is the ultrasonoscopy tangent plane
Position, then by the profile of blood vessel using the enterprise schema's image after the form additive fusion to contrast agent perfusion such as pseudo-colours in,
And shown in a window, such that it is able to more conveniently see the imaging of blood vessel, and inject tumour after contrast agent
Whether tissue regions show and also become apparent from, so as to be more conducive to observation blood vessel to tumor tissues blood supply etc..
However, the concrete application of the analysis method of the present embodiment is not limited to above-mentioned three kinds, it can split as needed
Multiple destination organization organs of multiway images, and different color displays are respectively adopted in each registering image.
The medical image analysis method of the present embodiment, by the way of many subwindows show different tangent plane pictures so that three-dimensional
The different tangent planes of target area can simultaneously show, overcome Dual-window of the prior art and be displayed side by side and be superimposed and melt
Closing display mode can not embody the defect of volume characteristics of three-dimensional data, while the side of the translucent shade using target area
Formula, and view data same position of not going the same way the mode that is switched fast of tangent plane picture by the nuance between different images
Show, can fast, effectively observe trickle gap and target group after same mode or different modalities image registration
Space correspondence position relation of the structure in different modalities and phase image is knitted, comparative analysis is convenient for.
Embodiment two
In the present embodiment, the multiple series of images data include at least one set of two-dimensional image data and one group of 3 d image data,
Therefore, in step 106, the corresponding tangent plane in the two-dimensional image data position is shown in certain in the subwindow
In one window, remaining tangent plane parallel with the tangent plane is corresponding to be shown in other subwindows.
For example, the 3 d image data of the real-time tangent plane of the two dimension of ultrasonoscopy and CT, by analysis method of the invention, can
To find in CT 3 d image datas the tangent plane position corresponding to ultrasound two dimension tangent plane in real time, and by the tangent plane pair of the position
In some window being displayed in multiple subwindows answered, if the two dimensional slice position of input changes, graphics
As the tangent plane picture in data corresponding to two dimensional slice position also changes, two dimensional image can equally be observed by switching
The difference of the corresponding ultrasonoscopy of tangent plane and CT images, and more clearly region point can also will be imaged in CT images
Cut and be superimposed in ultrasonoscopy, such that it is able to effectively using different imaging device data types the characteristics of carry out illness analysis
Embodiment three
In the present embodiment, the multiway images data are two groups of two-dimensional image datas, using the analysis method of the present embodiment,
More clearly certain histoorgan is partitioned into a circuit-switched data, and the target area registration is mapped to another X-Y scheme
As in, the profile of the target area by the way of crisperding, or, manifested by the way of translucent shade in the window,
Now, due to there was only single image, it may not be necessary to set multiple subwindows, only shown in a big window.
Example IV
In the present embodiment, at least three road 3 d image datas are imported, therefore, in image registration and cutting procedure, can
Using registering computing is repeated by the registration of image data of multichannel, its segmentation object region can also be in multiple 3 d image datas
Middle selection, and the multiple target area registrations that will be partitioned into are mapped in each registering image, its processing procedure and reality
Apply in example one and be similar to, be not added with repeating herein.
Embodiment five
A kind of medical image analysis system of the present embodiment, including:
Data acquisition unit:If for importing main line view data;
Image registration unit:The spatial coordinate location of the view data of not going the same way to importing carries out registration, sets up registering relation;
Target area cutting unit:One or more view data is selected, one or many is partitioned into every road view data
Individual target area;
Integrated unit:The feature of the target area that extraction is partitioned into, by target area according to registering relationship map to other figures
As in;
Tangent plane generation unit:Designated space plan-position, tangent plane picture is generated by the image after registration;
Display unit:The tangent plane picture correspondence of diverse location is shown in different subwindows, each subwindow switching display
Same position tangent plane from different circuit-switched datas.
Wherein, extracting the feature of the target area being partitioned into includes extracting the contour feature data or volume data of target area,
Contour feature data additive fusion by the way of pseudo-colours or shade or crisperding is displayed in each subwindow figure
As upper.
Further, the tangent plane generation unit, it is special in the multiway images data and profile according to given plane position
Levy the correspondence position that registration is found in data, interpolation generate the space plane with it is registering after multiway images data intersect respectively
Serial section.
Further, if the main line view data includes at least two-way 3 d image data, in the display unit, if
Dry subwindow shows the different tangent plane positions of same view data all the way simultaneously;
If the main line view data includes at least two-dimensional image data and all the way 3 d image data all the way, the display list
In unit, the corresponding tangent plane in the two-dimensional image data position is shown in some window in the subwindow, and described
Parallel remaining tangent plane correspondence of tangent plane is shown in other subwindows.
Further, in the display unit, the tangent plane picture switching of identical registration position is shown in each road view data
In same subwindow, the tangent plane picture size is identical, and resolution ratio is identical, each location of pixels correspondence.
Further, multiple subwindows are displayed side by side on screen by the way of matrix array, and permutation and combination
Order can as needed make any modification, and parallel cut surface, i.e. subwindow quantity because being limited by screen size, can be with
Requirement according to image size is adjusted, such as, it can be provided 1,3 × 3,4 × 4 etc..
As shown in Figure 4, it is shown that the display unit interface of the medical image analysis system of the present embodiment, each subwindow is by side
Battle array is arranged in main region, each parallel cut surface image for generating is sequentially displayed in into each subwindow, while can set
Each subwindow shows the intersecting instruction linear window of tangent plane, shows that each tangent plane picture is closed with the position of original three-dimensional image data
System, is placed on the avris of subwindow square formation, for example, as indicated at 502, it is intersecting to indicate linear window to be displayed in subwindow lower section,
Can be represented with the intersection form of three quadrature position tangent planes of volume data, or, marked in 3D shape drawing image
The position in section.
As shown in figure 5, the display unit of the present embodiment, it then follows shown with data source images different windows, same level figure
As the principle shown in the same window, by the parallel cut surface image sequence 611 that three-dimensional data 601 is obtained same all the way by suitable
Sequence is assigned in each subwindow 621, when image is switched, the parallel cut surface figure that another road three-dimensional data 602 is obtained
As sequence 612 can be assigned in each subwindow 621 in order, original view data all the way is integrally replaced, and phase
It is identical with the tangent plane position of corresponding two-way view data in subwindow, is matched one by one by location of pixels, so in figure
As switching when can on screen same pixel position display, it is to avoid the jumping phenomena of image in handoff procedure.
In embodiments of the invention, when foregoing tangent plane picture carries out " switching display ", " switching " can be ultrasonic imaging system
System automatically switches, for example, start the switching that image shows at regular intervals;It can also be the input instruction according to user
And switch, rail is for example clicked or double-clicked when pre-defined " switching " button of user input click or on subwindow
When mark ball or mouse, that is, start the switching that show of image, will current each subwindow display from showing basis all the way
The tangent plane picture that three-dimensional data (for example, foregoing three-dimensional data 601) is obtained switches to display three-dimensional according to another road
The tangent plane picture that volume data (for example, foregoing three-dimensional data 602) is obtained.
Further, the system also includes interactive operation unit, for being labeled operation on the image of any subwindow,
The result synchronization map of the labeling operation is reacted on all matching images of same subwindow, by the interactive unit
Setting can respond the image switching command of user input, will be carried out in screen same position by the multiway images of registration
Free switching, and it is possible to markup information is done on image, the markup information done on any image, such as tissue segmentation
Template, measurement mark etc., meeting synchronization map reaction is on all matching image sequences of the same window, for example, such as Fig. 5
In 622 shown in, two width in 2 work song windows matching image shows the bone for splitting in the same position of registration
Tissue, the region is constant when organization chart picture is switched, and can so show the institutional frameworks such as tumour, blood vessel not
Change in same phase, different modalities image.
Further, if the main line view data be from different modalities, different phase, different dimensions any road figure
As data combination.
Therefore, the medical image analysis system of the present embodiment can realize the matching of multiway images data and be superimposed, Ke Yishi
Existing independent assortment between two dimensional image and 3-D view, when different the switching of phase images be superimposed, for example, preoperative, postoperative
The comparative analysis of image, the Overlapping display of different imaging techniques, for example, normal tissue image, Doppler rheographies, making
The fusion of shadow image;It is thus possible to comprehensively utilize the useful information in each image;Also, the fusion of different modalities image
It has been shown that, realizes the combination of the image such as ultrasound, MRI, CT, imaging diagnosis method is more enriched, and can obtain
The unified comparative analysis that all kinds of view data are combined together, it is accurate, directly perceived, and only need to the space that minimizes and
Time overhead.
Embodiment six
A kind of medical imaging device of this implementation, including the PACK described in embodiment five, it has above-mentioned medical science
All features and advantage that image system has, are not added with repeating herein.
Obviously, above-described embodiment is only intended to clearly illustrate example, and not to the restriction of implementation method.It is right
For those of ordinary skill in the art, the change of other multi-forms can also be made on the basis of the above description
Or change.There is no need and unable to be exhaustive to all of implementation method.And the obvious change thus extended out
Among changing or changing still in the protection domain of the invention.
Claims (21)
1. a kind of medical image analysis method, it is characterised in that comprise the following steps:
If receiving main line view data;
If carrying out registration to main line view data described in reception, if the registering relation set up between the view data of the main line;
If selecting one or more view data from the main line view data, in one or more picture number selected
One or more target areas are partitioned into;
By target area according in registering relationship map to other road view data;
If the main line view data according to after registration, if the main line view data after generation registration is specified more
Multiple tangent plane pictures on individual space plane;
The tangent plane picture correspondence that will be located in different spaces plane in the multiple tangent plane picture is shown in different subwindows,
And the tangent plane picture switching being located in same space plane in wherein the multiple tangent plane picture is displayed in same subwindow
In.
2. medical image analysis method according to claim 1, it is characterised in that also include:What extraction was partitioned into
The feature of target area, the feature of target area that extraction is partitioned into include extracting the contour feature data of target area or
Volume data.
3. medical image analysis method according to claim 2, it is characterised in that also include:
By the contour feature data or volume data by the way of pseudo-colours or shade or crisperding additive fusion
It is displayed on the tangent plane picture in each subwindow.
4. medical image analysis method according to claim 3, it is characterised in that described some after according to registration
If multiple tangent plane pictures of the main line view data after road view data generation registration on specified multiple space planes
Including:
According to specified space plane position, if being found in the main line view data and contour feature data or volume data
The correspondence position of registration, if interpolation generates the section that the space plane intersects respectively with the main line view data after registration
The image in section.
5. medical image analysis method according to claim 1, it is characterised in that if the main line view data bag
Include at least two-way 3 d image data.
6. medical image analysis method according to claim 5, it is characterised in that described by the multiple sectional drawing
The tangent plane picture correspondence being located in different spaces plane as in is shown in different subwindows to be included:Several subwindows are simultaneously
The tangent plane picture in different spaces plane of the same view data all the way of display.
7. medical image analysis method according to claim 1, it is characterised in that if the main line view data bag
Include at least two-dimensional image data and all the way 3 d image data all the way.
8. medical image analysis method according to claim 7, it is characterised in that by the multiple tangent plane picture
Tangent plane picture correspondence in different spaces plane is shown in different subwindows to be included:Will be with the two-dimensional image data
The corresponding tangent plane picture in position is shown in some window in the subwindow, will with the two-dimensional image data position
Parallel remaining tangent plane picture correspondence of the corresponding tangent plane picture is put to be shown in other subwindows.
9. medical image analysis method according to claim 1, it is characterised in that also include:Receive in any son
The labeling operation carried out on the image of window, the result synchronization map of the labeling operation is shown in same subwindow
All tangent plane pictures on.
10. medical image analysis method according to claim 1, it is characterised in that if the main line view data is
The view data of different modalities, different phases and/or different dimensions.
11. a kind of medical image analysis systems, it is characterised in that including following part:
Data acquisition unit:If receiving main line view data;
Image registration unit:If carrying out registration to main line view data described in reception, if setting up main line view data
Between registering relation;
Target area cutting unit:If selecting one or more view data from the main line view data, rotating out of
One or more view data in be partitioned into one or more target areas;
Integrated unit:By target area according in registering relationship map to other road view data;
Tangent plane generation unit:If the main line view data according to after registration, if the main line image after generation registration
Multiple tangent plane pictures of the data on specified multiple space planes;
Display unit:The tangent plane picture correspondence that will be located in different spaces plane in the multiple tangent plane picture is shown in difference
The tangent plane picture switching being located in same space plane in subwindow, and in wherein the multiple tangent plane picture is displayed in same
In one subwindow.
12. medical image analysis systems according to claim 11, it is characterised in that the integrated unit is also extracted
The feature of the target area being partitioned into, the feature of the target area that extraction is partitioned into includes extracting the contour feature of target area
Data or volume data.
13. medical image analysis systems according to claim 12, it is characterised in that the contour feature data or
Person's volume data additive fusion by the way of pseudo-colours or shade or crisperding is displayed on each subwindow image.
14. medical image analysis systems according to claim 13, it is characterised in that the tangent plane generation unit root
According to specified space plane position, if finding registration in the main line view data and contour feature data or volume data
Correspondence position, if interpolation generates the serial section that the space plane intersects respectively with the main line view data after registration
Image.
15. medical image analysis systems according to claim 11, it is characterised in that if the main line view data
Including at least two-way 3 d image data.
16. medical image analysis systems according to claim 15, it is characterised in that in the display unit, if
Dry subwindow shows the tangent plane picture in different spaces plane of same view data all the way simultaneously.
17. medical image analysis systems according to claim 11, it is characterised in that if the main line view data
Including at least two-dimensional image data and all the way 3 d image data all the way.
18. medical image analysis systems according to claim 17, it is characterised in that in the display unit, will
Tangent plane picture corresponding with the two-dimensional image data position is shown in some window in the subwindow, will with
Parallel remaining tangent plane picture correspondence of the corresponding tangent plane picture in the two-dimensional image data position is shown in other subwindows
In.
19. medical image analysis systems according to claim 11, it is characterised in that also including interactive operation unit,
For receiving the labeling operation carried out on the image of any subwindow, by the result synchronization map of the labeling operation to
On all tangent plane pictures shown in same subwindow.
20. medical image analysis systems according to claim 11, it is characterised in that if the main line view data
It is the view data of different modalities, different phases and/or different dimensions.
21. a kind of medical imaging devices, it is characterised in that including the medical science any one of above claim 11-20
Image system.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030128801A1 (en) * | 2002-01-07 | 2003-07-10 | Multi-Dimensional Imaging, Inc. | Multi-modality apparatus for dynamic anatomical, physiological and molecular imaging |
US7158692B2 (en) * | 2001-10-15 | 2007-01-02 | Insightful Corporation | System and method for mining quantitive information from medical images |
CN101536042A (en) * | 2006-11-20 | 2009-09-16 | 皇家飞利浦电子股份有限公司 | Displaying anatomical tree structures |
CN102411795A (en) * | 2011-08-16 | 2012-04-11 | 中国人民解放军第三军医大学第一附属医院 | Combined display method of multimode image about coronary artery |
CN103678837A (en) * | 2012-08-31 | 2014-03-26 | 西门子公司 | Method and device for determining processing remains of target area |
CN104107067A (en) * | 2013-04-16 | 2014-10-22 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic diagnosis equipment and ultrasonic diagnosis method supporting multi-probe synchronous scanning |
CN104116523A (en) * | 2013-04-25 | 2014-10-29 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic image analysis system and method |
CN104574329A (en) * | 2013-10-09 | 2015-04-29 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic fusion imaging method and ultrasonic fusion imaging navigation system |
-
2015
- 2015-12-31 CN CN201511033375.9A patent/CN106934807B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7158692B2 (en) * | 2001-10-15 | 2007-01-02 | Insightful Corporation | System and method for mining quantitive information from medical images |
US20030128801A1 (en) * | 2002-01-07 | 2003-07-10 | Multi-Dimensional Imaging, Inc. | Multi-modality apparatus for dynamic anatomical, physiological and molecular imaging |
CN101536042A (en) * | 2006-11-20 | 2009-09-16 | 皇家飞利浦电子股份有限公司 | Displaying anatomical tree structures |
CN102411795A (en) * | 2011-08-16 | 2012-04-11 | 中国人民解放军第三军医大学第一附属医院 | Combined display method of multimode image about coronary artery |
CN103678837A (en) * | 2012-08-31 | 2014-03-26 | 西门子公司 | Method and device for determining processing remains of target area |
CN104107067A (en) * | 2013-04-16 | 2014-10-22 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic diagnosis equipment and ultrasonic diagnosis method supporting multi-probe synchronous scanning |
CN104116523A (en) * | 2013-04-25 | 2014-10-29 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic image analysis system and method |
CN104574329A (en) * | 2013-10-09 | 2015-04-29 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic fusion imaging method and ultrasonic fusion imaging navigation system |
Non-Patent Citations (2)
Title |
---|
YE ZHANG等: "Robust feature matching and selection methods for multisensor image registration", 《2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM》 * |
廖秀秀: "多模医学图像处理平台及基于隐含形状表示和边缘信息融合的图像配准算法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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