CN105796065B - Based on the separation of water rouge without reference temperature measurement method and system - Google Patents
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000000926 separation method Methods 0.000 title claims abstract description 43
- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 34
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 title abstract 2
- 238000010587 phase diagram Methods 0.000 claims abstract description 29
- 238000010586 diagram Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 4
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- 238000002592 echocardiography Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 230000001629 suppression Effects 0.000 abstract description 5
- 210000001519 tissue Anatomy 0.000 description 18
- 238000004861 thermometry Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 238000003384 imaging method Methods 0.000 description 4
- 230000005764 inhibitory process Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 125000004435 hydrogen atom Chemical group [H]* 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 238000007430 reference method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
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Abstract
It is a kind of based on water rouge separation without reference temperature measurement method and system, this method comprises the following steps: obtain the more echo sequence images of two-dimensional gradient；Area-of-interest and reference zone will be divided into as tissue in image；It respectively is isolated by the water of the reference zone, the phase diagram and field figure of fat；Water and fat phase map and field figure to the reference zone carry out fitting of a polynomial, acquire three groups of multinomial coefficients；Using three groups of multinomial coefficients, interpolation is carried out, obtains the water of the area-of-interest and the baseline phase figure and field figure of fat；Water and fat signal in the area-of-interest are isolated using the field figure of echo signal values more in the area-of-interest and above-mentioned acquisition, water and fat phase map are obtained, can get the temperature change of the area-of-interest in conjunction with the water of above-mentioned acquisition and fatty baseline phase figure.The present invention is insensitive to histokinesis without carrying out fat suppression, and temperature measurement accuracy can be improved.
Description
Technical Field
The invention relates to the field of magnetic resonance temperature measurement, in particular to a non-reference temperature measurement method and system based on water-fat separation.
Background
Real-time monitoring of magnetic resonance temperature is an important prerequisite for achieving magnetic resonance image guidance. The magnetic Resonance parameters that can be used for temperature imaging include Proton density, spin-lattice relaxation time, spin-spin relaxation time, water molecule apparent diffusion coefficient, magnetization transfer, Proton Resonance Frequency Shift (PRFS), and intermolecular quantum coherence. The temperature imaging method based on the Proton Resonance Frequency Shift (PRFS) principle is one of the most widely used methods in magnetic Resonance temperature imaging because it has a very good spatial and temporal resolution, has an excellent linearity to temperature variation, and the linear relationship with temperature does not change with changes in tissue and environment. The PRFS temperature imaging method utilizes the phenomenon that the change of the resonance frequency of hydrogen protons in water molecules changes along with the change of temperature, and the relation between the change of the resonance frequency and the change of the temperature is about 0.01ppm of the change of the resonance frequency of the hydrogen protons when the temperature rises by 1 ℃. The accuracy of current PRFS-based magnetic resonance thermometry is mainly affected by temperature insensitive components (i.e. fat), susceptibility artifacts and motion artifacts.
The existing PRFS-based temperature measurement method comprises the following steps: there are reference (reference) subtractions (Poorter, J.D., et al, innovative MRI Thermometry with the protocol Resonance Frequency Method: InVivo Results in Human muscle magnetic Resonance in Medicine,1995.33(1): p.74-81), no reference (reference-less) Thermometry (Rieke, V., et al, reference PRF shifting thermal measurement. Magnin Res. Med., 2004.51(6): p.1223-31.), Fat reference (Fat reference) Thermometry (Hofstetter, L.W., et al, Fat-referenced MR thermal measurement in the branched analysis L.J. 2012.36, et al).
There is a reference subtraction, using the method of subtracting the current phase map from the reference phase. The method is mainly sensitive to tissue motion. During heating, large temperature measurement errors can occur due to reference phase mismatches caused by tissue motion or deformation. To overcome this drawback, researchers have proposed a reference-free thermometry method in which the phase map is assumed to be approximated by a set of continuous smooth spatial polynomial functions, the phase map of the unheated region is used to fit a phase space model, and the background phase of the heated region is extrapolated from the model. The method does not rely on the acquisition of a reference image, which is obtained by fitting the current image through a phase space model. In practical applications, in order to improve the temperature measurement accuracy, fat suppression is required in both the reference subtraction method and the non-reference thermometry method. Under high-field or ultra-high-field conditions, the existing fat suppression technology in the actual temperature measurement tissue may make local errors, namely, components insensitive to temperature exist in signals, and the temperature measurement accuracy is directly influenced. In order to overcome the defects of the fat inhibition technology, researchers propose a fat reference method based on the PRFS principle. The method utilizes water-fat separation technology to obtain water and fat phase diagrams respectively. The phase change caused by the drift of the main magnetic field is corrected by the fat phase change. The temperature-induced phase change is obtained by calculating the difference between the phase change of water and the phase change of fat before and after heating. The main disadvantage of this method is that it is a modified reference subtraction, which still does not eliminate the effect of tissue motion on the accuracy of the thermometry.
Disclosure of Invention
Therefore, it is necessary to provide a non-reference temperature measurement method and system based on water-fat separation, which are not only free from fat suppression but also insensitive to tissue motion, aiming at the problems that the existing magnetic resonance temperature measurement method based on the PRFS principle needs fat suppression, local errors can occur in the actual temperature measurement tissue under the condition of high field or ultrahigh field, the temperature measurement accuracy is affected, and the influence of the tissue motion on the temperature measurement accuracy cannot be eliminated by the existing fat reference method based on the PRFS principle.
A non-reference temperature measurement method based on water-fat separation comprises the following steps:
obtaining a two-dimensional gradient multi-echo sequence image;
dividing the object tissue in the image into a region of interest and a reference region;
obtaining a phase map of water and fat of the reference region and a field map of the reference region based on a water-fat separation method;
respectively carrying out polynomial model fitting on the phase diagram of the water and the fat in the reference area and the field diagram of the reference area to respectively obtain three groups of polynomial coefficients;
interpolating by using the three groups of polynomial coefficients to obtain a baseline phase map of water and fat of the region of interest and a field map of the region of interest;
performing water-fat separation on the region of interest in the image by using the two-dimensional gradient multi-echo sequence image signal values of the region of interest and the field diagram of the region of interest based on a water-fat separation method to obtain phase diagrams of water and fat in the region of interest;
obtaining phase changes of the water and fat of the region of interest according to the baseline phase diagram and the phase diagram of the water and fat of the region of interest;
and obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest.
In one embodiment, the two-dimensional gradient multi-echo sequence typically acquires 3 to 5 echoes.
In one embodiment, the reference region surrounds the region of interest.
In one embodiment, the region of interest is circular.
In one embodiment, the reference region is annular.
In one embodiment, the phase map of water and fat in the reference region and the field map of the reference region are separated from the two-dimensional gradient multi-echo sequence image by using an IDEAL algorithm.
In one embodiment, the method for water-fat separation adopts IDEAL algorithm.
In one embodiment, the process of obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest includes the following steps:
calculating a temperature-induced phase change of the region of interest;
and according to a non-reference temperature measurement method, calculating the temperature change of the region of interest based on the linear relation between the phase change and the temperature change of the water protons in the tissue.
In one embodiment, the phase change of the water in the region of interest is obtained by subtracting the baseline phase map of the water in the region of interest from the water phase map of the region of interest.
In one embodiment, the phase change of the fat of the region of interest is obtained by subtracting the baseline phase map of the fat of the region of interest from the fat phase map of the region of interest.
In one embodiment, the temperature-induced phase change of the region of interest is calculated from the difference of the phase change of water of the region of interest minus the phase change of fat of the region of interest.
In one embodiment, the temperature change of the region of interest is linearly related to the temperature-induced phase change of the region of interest.
A no-reference temperature measurement system based on water-fat separation comprises:
the acquisition module is used for acquiring a two-dimensional gradient multi-echo sequence image;
the distinguishing module is used for dividing the object tissue in the image into an interested area and a reference area;
a separation module for obtaining a phase map of water and fat of the reference region and a field map of the reference region based on a water-fat separation method;
the fitting module is used for respectively carrying out polynomial model fitting on the phase diagram of the water and the fat in the reference area and the field diagram of the reference area to obtain three groups of polynomial coefficients;
the extraction module is used for carrying out interpolation by utilizing the three groups of polynomial coefficients to obtain a baseline phase diagram of water and fat of the region of interest and a field diagram of the region of interest;
the processing module is used for performing water-fat separation on the interested region in the image by using the two-dimensional gradient multi-echo sequence image signal value of the interested region and the field diagram of the interested region based on a water-fat separation method, so as to obtain a phase diagram of water and fat in the interested region;
the acquisition module is used for acquiring the phase change of the water and the fat in the region of interest according to the baseline phase diagram and the phase diagram of the water and the fat in the region of interest; and
and the calculation module is used for obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest.
According to the non-reference temperature measurement method and system based on water-fat separation, the phase diagram of water and fat is obtained through the water-fat separation technology, the error caused by the fat pressing technology is reduced, and the method is combined with the non-reference temperature measurement algorithm, not only is insensitive to tissue motion, but also fat inhibition is not needed, and the temperature measurement precision is improved.
Drawings
FIG. 1 is a flow chart of a method for non-reference thermometry based on water-fat separation according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of a region of interest and a reference region in tissue in accordance with an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a non-reference temperature measurement system based on water-fat separation according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1 and 2, a method for measuring temperature without reference based on water-fat separation comprises the following steps:
in step S100, a two-dimensional gradient multi-echo sequence image is obtained.
Preferably, the two-dimensional gradient multi-echo sequence generally acquires 3 to 5 echoes.
In step S200, the target tissue in the above-described image (referring to the two-dimensional gradient multi-echo sequence image obtained in step S100) is divided into a region of interest (ROI) and a reference region (ROR), as shown in fig. 2. Preferably, the reference region surrounds the region of interest. Preferably, the region of interest is circular. Preferably, the reference region is a region that does not contain any temperature change. Preferably, the reference region is annular.
In step S300, a phase map of water, a phase map of fat, and a field map of the reference region are obtained based on the water-fat separation method. The method for separating water and fat is preferably the IDEAL algorithm. Specifically, the phase map of water, the phase map of fat and the field map of the reference region are separated from the two-dimensional gradient multi-echo sequence image by using an IDEAL algorithm, and preferably, the IDEAL algorithm simultaneously uses a T2 correction algorithm.
In step S400, polynomial models (see the following equation (1-1)) are fitted to the phase map of water, the phase map of fat, and the field map of the reference region, respectively, to obtain three sets of polynomial coefficients. Specifically, the polynomial model is a polynomial coefficient obtained by calculating a minimum residual using a least-squares method as the following formula (1-1).
φ(x,y)＝a0+a1x+a2y+a3xy+... (1-1)
In one embodiment of the present invention, the step 400 includes the following steps:
performing polynomial model fitting on the phase diagram of the water in the reference region to obtain a first group of polynomial coefficients;
performing polynomial model fitting on the phase diagram of the fat in the reference region to obtain a second group of polynomial coefficients;
and performing polynomial model fitting on the field map in the reference region to obtain a third group of polynomial coefficients.
In step S500, interpolation is performed using the three sets of polynomial coefficients to obtain the baseline phase of water and the baseline phase of fat in the region of interest and the field pattern distribution of the region of interest. Specifically, in one embodiment of the present invention, the step 500 includes the following steps:
interpolating by using the first group of polynomial coefficients to obtain a baseline phase of water in the region of interest;
interpolating by using the second group of polynomial coefficients to obtain a baseline phase of the fat in the region of interest;
and utilizing the third group of polynomial coefficients to carry out interpolation to obtain a field map of the region of interest.
In step S600, based on the water-fat separation method, performing water-fat separation on the region of interest in the image by using the two-dimensional gradient multi-echo sequence image signal values of the region of interest and the field map of the region of interest, and obtaining a water phase map of the region of interestAnd fat phase diagramThe method for separating water and fat is preferably the IDEAL algorithm. In particular, the phase diagram of water of the above-mentioned region of interestPhase diagram of fatAnd a field map of the region of interestThe IDEAL algorithm is adopted to separate from the two-dimensional gradient multi-echo sequence image, and preferably, the IDEAL algorithm adopts a T2 correction algorithm at the same time.
Step S700, obtaining the phase change of the water and fat in the region of interest according to the baseline phase map and the phase map of the water and fat in the region of interest.
Preferably, the phase of the water in the region of interest is variedPhase map of water from the region of interestSubtracting the baseline phase map of the water in the region of interestObtaining the following result:
preferably, the phase of the fat of the region of interest is variedPhase map of fat from the region of interestSubtracting the baseline phase map of the fat of the region of interestObtaining the following result:
and step S800, obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest.
In an embodiment of the present invention, the step S800 includes the following steps:
first, the temperature-induced phase change of the region of interest is calculatedIn one embodiment of the present invention, the temperature-induced phase change of the region of interest isSubtracting the phase change of the fat in the region of interest from the phase change of the water in the region of interestCalculating to obtain the following result:
wherein the phase change caused by the drift of the main magnetic field is corrected by the phase change of fatI.e. the phase change of the fat of the region of interest
Then, according to the reference-free temperature measurement method, the temperature change Δ T of the region of interest is calculated based on the linear relationship of the phase change of the water protons in the tissue and the temperature change, see in particular the following equation (5).
Wherein,the temperature-induced phase change of the region of interest, γ, denotes the gyromagnetic ratio, α -0.01 ppm/c, B0 denotes the main magnetic field strength, and TE denotes the echo time.
Based on the above method, in an embodiment of the present invention, as shown in fig. 3, a non-reference temperature measurement system based on water-fat separation comprises: the device comprises an acquisition module 10, a distinguishing module 20, a separating module 30, a fitting module 40, an extracting module 50, a processing module 60, an obtaining module 70 and a calculating module 80. Wherein,
the acquisition module 10 is used for acquiring a two-dimensional gradient multi-echo sequence image;
a distinguishing module 20, configured to divide the object tissue in the image into a region of interest and a reference region;
a separation module 30 for obtaining a phase map of water and fat of the reference region and a field map of the reference region based on a water-fat separation method;
a fitting module 40, configured to perform polynomial model fitting on the phase map of water and fat in the reference region and the field map of the reference region, respectively, to obtain three sets of polynomial coefficients;
an extraction module 50, configured to perform interpolation by using the three sets of polynomial coefficients to obtain a baseline phase map of water and fat in the region of interest and a field map of the region of interest;
a processing module 60, configured to perform water-fat separation on a region of interest in the image by using two-dimensional gradient multi-echo sequence image signal values of the region of interest and a field map of the region of interest based on a water-fat separation method, so as to obtain phase maps of water and fat in the region of interest;
an obtaining module 70, configured to obtain phase changes of water and fat in the region of interest according to the baseline phase map and the phase map of water and fat in the region of interest; and
and the calculating module 80 is configured to obtain the temperature change of the region of interest according to the phase change of the water and the fat in the region of interest.
In one embodiment of the present invention, the calculating module 80 comprises the following units
Means for calculating a temperature-induced phase change of the region of interest; and
means for calculating a temperature change of the region of interest based on a linear relationship of phase change and temperature change of water protons in the tissue according to a reference-free temperature measurement method.
According to the non-reference temperature measurement method and system based on water-fat separation, the phase diagram of water and fat is obtained through the water-fat separation technology, the error caused by the fat pressing technology is reduced, and the method is combined with the non-reference temperature measurement algorithm, not only is insensitive to tissue motion, but also fat inhibition is not needed, and the temperature measurement precision is improved.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. A non-reference temperature measurement method based on water-fat separation comprises the following steps:
obtaining a two-dimensional gradient multi-echo sequence image;
dividing the object tissue in the image into a region of interest and a reference region;
obtaining a phase map of water and fat of the reference region and a field map of the reference region based on a water-fat separation method;
respectively carrying out polynomial model fitting on the phase diagram of the water and the fat in the reference area and the field diagram of the reference area to obtain three groups of polynomial coefficients;
interpolating by using the three groups of polynomial coefficients to obtain a baseline phase map of water and fat of the region of interest and a field map of the region of interest;
performing water-fat separation on the region of interest in the image by using the two-dimensional gradient multi-echo sequence image signal values of the region of interest and the field diagram of the region of interest based on a water-fat separation method to obtain phase diagrams of water and fat in the region of interest;
obtaining phase changes of the water and fat of the region of interest according to the baseline phase diagram and the phase diagram of the water and fat of the region of interest;
the phase change of the water in the region of interest is obtained by subtracting the baseline phase diagram of the water in the region of interest from the water phase diagram in the region of interest;
the phase change of the fat of the region of interest is obtained by subtracting the baseline phase map of the fat of the region of interest from the fat phase map of the region of interest;
obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest, and the method comprises the following steps:
the temperature induced phase change of the region of interest is calculated,
the temperature-induced phase change of the region of interest is calculated from the difference of the phase change of the water of the region of interest minus the phase change of the fat of the region of interest;
according to the non-reference temperature measurement method, the temperature change △ T of the region of interest is calculated based on the linear relation between the phase change and the temperature change of water protons in the tissue, and the specific formula is shown as the following formula:
wherein,-representing the temperature-induced phase change of the above-mentioned region of interest, γ representing the gyromagnetic ratio, α -0.01 ppm/c, B0Representing the main magnetic field strength and TE the echo time.
2. The method of claim 1, wherein the two-dimensional gradient multi-echo sequence acquires 3 to 5 echoes.
3. The method of claim 1, wherein the reference region surrounds the region of interest.
4. The method for measuring the temperature without reference based on the water-fat separation as claimed in claim 1, wherein the method for water-fat separation adopts IDEAL algorithm.
5. The method for non-reference temperature measurement based on water-fat separation according to claim 1, wherein the temperature change of the region of interest is in a linear relationship with the temperature-induced phase change of the region of interest.
6. A no-reference temperature measurement system based on water-fat separation is characterized by comprising:
the acquisition module is used for acquiring a two-dimensional gradient multi-echo sequence image;
the distinguishing module is used for dividing the object tissue in the image into an interested area and a reference area;
a separation module for obtaining a phase map of water and fat of the reference region and a field map of the reference region based on a water-fat separation method;
the fitting module is used for respectively carrying out polynomial model fitting on the phase diagram of the water and the fat in the reference area and the field diagram of the reference area to obtain three groups of polynomial coefficients;
the extraction module is used for carrying out interpolation by utilizing the three groups of polynomial coefficients to obtain a baseline phase diagram of water and fat of the region of interest and a field diagram of the region of interest;
the processing module is used for performing water-fat separation on the interested region in the image by using the two-dimensional gradient multi-echo sequence image signal value of the interested region and the field diagram of the interested region based on a water-fat separation method, so as to obtain a phase diagram of water and fat in the interested region;
the acquisition module is used for acquiring the phase change of the water and the fat in the region of interest according to the baseline phase diagram and the phase diagram of the water and the fat in the region of interest; and
the calculation module is used for obtaining the temperature change of the region of interest according to the phase change of the water and the fat of the region of interest;
the calculation process of obtaining the temperature change of the interested area by the calculation model according to the phase change of water and fat of the interested area comprises the following steps:
the temperature induced phase change of the region of interest is calculated,
the temperature-induced phase change of the region of interest is calculated from the difference of the phase change of the water of the region of interest minus the phase change of the fat of the region of interest;
according to the non-reference temperature measurement method, the temperature change △ T of the region of interest is calculated based on the linear relation between the phase change and the temperature change of water protons in the tissue, and the specific formula is shown as the following formula:
wherein,-representing the temperature-induced phase change of the above-mentioned region of interest, γ representing the gyromagnetic ratio, α -0.01 ppm/c, B0Representing the main magnetic field strength and TE the echo time.
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| EP3432018A1 (en) * | 2017-07-17 | 2019-01-23 | AMRA Medical AB | Mri method for calculating a t2*-corrected proton density fat fraction |
| CN107907846B (en) * | 2017-11-27 | 2020-05-01 | 深圳先进技术研究院 | Eddy current correction method and device, mobile terminal and readable storage medium |
| CN109938704B (en) * | 2017-12-20 | 2020-05-19 | 深圳先进技术研究院 | Magnetic resonance temperature imaging method and device |
| CN110244245B (en) * | 2019-06-10 | 2021-09-07 | 苏州润蓝医疗科技有限公司 | Optimized magnetic field drift correction method and device |
| CN110687489B (en) * | 2019-09-04 | 2021-08-20 | 华东师范大学 | Fitting method for magnetic resonance imaging multi-echo magnetic field distribution diagram |
| CN110742589B (en) * | 2019-11-05 | 2023-09-22 | 广州互云医院管理有限公司 | Fat reference magnetic resonance temperature imaging method |
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