CN102961161A - Method for automatically obtaining heart function parameters of four-dimensional heart - Google Patents
Method for automatically obtaining heart function parameters of four-dimensional heart Download PDFInfo
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- CN102961161A CN102961161A CN2012104973307A CN201210497330A CN102961161A CN 102961161 A CN102961161 A CN 102961161A CN 2012104973307 A CN2012104973307 A CN 2012104973307A CN 201210497330 A CN201210497330 A CN 201210497330A CN 102961161 A CN102961161 A CN 102961161A
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Abstract
The invention discloses a method for automatically obtaining heart function parameters of a four-dimensional hear. The method is characterized by comprising the following steps: (1) obtaining a four-dimensional heart CT (Computed Tomography) image of each time phase; (2) automatically dividing the four-dimensional heart image through the adoption of a dividing method so as to obtain outlines of a left ventricle, a right ventricle, a left atrium, a right atrium, a coronary artery and a myocardium; (3) respectively figuring out voxel volumes of the outlines of the left ventricle, the right ventricle, the left atrium, the right atrium, the coronary artery and the myocardium at each time phase by using a voxel volume superposition method; and (4) judging a diastole and a systole of the heart through the volumes of the left ventricle, the right ventricle, the left atrium, the right atrium, the coronary artery and the myocardium at each time phase, so as to obtain the heart function parameters of the heart. The accuracies of heart function parameters obtained through the adoption of the method disclosed by the invention are greatly improved.
Description
Technical field
The present invention relates to the clinical assistant diagnosis field, particularly a kind of four-dimensional cardiac cardiac functional parameter automatic obtaining method.
Background technology
Because complexity and the interindividual diversity of organization of human body are so that medical image pathological changes computer auto-detection becomes a great problem.At present, the parameter that is used for the assess cardiac cardiac function that detects clinically mainly contains ventricular edv, end-systolic volume, ejection fraction, myocardial mass, stroke volume and Tei index (Myocardial performance index).Ventricular volume is the basis that clinical cardiac function is estimated, and therefore accurately calculates the precondition that ventricular volume is Evaluation on Cardiac Function.Traditional left ventricular volume mainly contains following two kinds: (1) area-length method, and the method assumes a long ellipsoid with ventricle, comes volume calculated by measuring oval area and length; (2) Simpson method, the method is divided into some continuous cylinders with left ventricular cavity equably along major axis, and left ventricular volume equals the summation of each cylinder volume.The defective of traditional method is and need to supposes the set shape of ventricle, because ventricle is not ellipsoid or the cylinder of rule, and the volume that calculates comprises papillary muscles and the occupied chambers of the heart of trabecular muscles, so the ventricular volume precision of calculating is inadequate, the pathological phenomenon that therefore can accurately not reflect heart might cause mistaken diagnosis or wrong serious consequence of examining.
Obtain the four-dimensional cardiac cardiac functional parameter based on manual dividing method in the prior art and refer to that the doctor utilizes clinical knowledge to delineate out interested profile at medical image, its segmentation precision is compared common automatic division method and is wanted high, but very consuming time and workload is large, whenever be partitioned into mutually needed time when complete about one hour, and be subjected to the impact of anthropic factor larger, the result that different doctors are cut apart same data is different, same doctor is different in the result that difference is partitioned into constantly, and the result that these defectives cause is that the diversity of diagnosis is large, and operation has nonrepeatability.
Summary of the invention
The shortcoming that the object of the invention is to overcome prior art provides a kind of four-dimensional cardiac cardiac functional parameter automatic obtaining method with not enough, can get access to more accurate cardiac function parameter by the method.
Purpose of the present invention is achieved through the following technical solutions: a kind of four-dimensional cardiac cardiac functional parameter automatic obtaining method may further comprise the steps:
The four-dimensional cardiac CT image of phase when (1) obtaining each;
(2) utilize dividing method to obtain each the time phase four-dimensional cardiac CT image slices carry out auto Segmentation, obtain the profile of left ventricle in the section, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle;
The voxel volume of phase when (3) adopting the voxel volume addition method to obtain in the CT image slices in left ventricle, right ventricle, left atrium, right atrium, coronary artery and the myocardial contours each, concrete steps are as follows:
(3-1) obtain the CT image each the time number of slices that comprises mutually, the voxel number that comprises in the various piece profile in each section of phase when obtaining each;
Single voxel volume in a certain partial contour in each section of phase a when (3-2) calculating
ΔV
i:
(3-3) with time the single voxel volume in phase a each a certain partial contour of cutting into slices that obtains in the step (3-2)
ΔV
iMultiply by respectively the number X of the interior voxel of a certain partial contour in the respective slice
i, the volume Z of the interior voxel of a certain partial contour in each section of phase a when obtaining
i
(3-4) according to step (3-3) voxel volume Z in a certain partial contour in each section of phase a when obtaining
i, the then voxel volume addition in a certain partial contour at this moment each section of phase a, the voxel volume V in a certain partial contour in all sections of phase a when obtaining
a
(3-5) the voxel volume in a certain partial contour in all sections of repeated execution of steps (3-2) to (3-4) phase when obtaining each;
(3-6) according to step (3-1) to (3-5) obtain each the time phase all sections in voxel volume in left ventricle, right ventricle, left atrium, right atrium, coronary artery and the myocardial contours, be left ventricle, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time phase the voxel volume; Wherein certain part in the above-mentioned steps refers to left ventricle, right ventricle, left atrium, right atrium, coronary artery or cardiac muscle;
(4) by left ventricle, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time phase the voxel volume judge relaxing period and the systole of heart, thereby acquire the cardiac functional parameter of heart.
Preferably, in the described step (3-2)
ΔV
iFor:
ΔV
i=
ΔS
i*m*n,(i＝1，2,3...K)；
The same pixel space of contiguous slices among phase a when wherein (m, n) is,
ΔS
iFor the time distance between i of phase a and i+1 the contiguous slices scanning position;
ΔV
iFor the time phase a i section in single voxel volume in a certain partial contour;
Wherein
ΔS
iFor:
ΔS
i=|S
i+1-S
i|=|b
i+1-b
i|；
B wherein
iBe i section S
iScanning position, b
I+1Be i+1 section S
I+1Scanning position.
Preferably, the volume Z of the interior voxel of a certain partial contour in each section of phase a in the time of in the described step (3-3)
iFor;
Z
i＝X
i*
ΔV
i,(i=1，2,3...K)；
Wherein be X
iFor the time phase a i section in the number of voxel in a certain partial contour, Z
iFor the time phase a i section in the volume of voxel in a certain partial contour.
Preferably, the voxel volume V in a certain partial contour in all sections of phase a in the time of in the described step (3-4)
aFor:
Preferably, in the described step (1) by double source CT and ecg-gating technology obtain four-dimensional cardiac each the time mutually CT image.
Preferably, the dividing method in the described step (2) is the dividing method based on registration.
Preferably, the voxel number that comprises in the various piece profile in each section of the CT image in the described step (3) obtains by the matlab software programming.
Preferably, the CT image each the time number of slices that comprises mutually be identical.
The cardiac functional parameter of the heart that preferably, obtains in the described step (4) comprises stroke volume, ejection fraction and the myocardial mass of left ventricle and right ventricle; The left ventricle end-diastolic dimension and the end-systolic volume that are respectively left ventricle at minimum volume and the maximum volume of Shi Xiangzhong wherein; The left ventricle stroke volume equals left ventricular end-diastolic volume and deducts left ventricular end-systolic volume, left ventricular ejection fraction is whenever rich output and left ventricular end diastolic percentage ratio of left ventricle, wherein the right ventricle end-diastolic dimension and the end-systolic volume that are respectively right ventricle at minimum volume and the maximum volume of Shi Xiangzhong; The right ventricle stroke volume equals right ventricular end-diastolic volume and deducts right ventricular end-systolic volume, and right ventricular ejection fraction is whenever rich output and the ED percentage ratio of right ventricle of right ventricle, and myocardial mass equals myocardium volume and multiply by cardiac texture.
The present invention has following advantage and effect with respect to prior art:
(1) method of the present invention is equal to a small cubes with the voxel of four-dimensional cardiac image, calculate the volume sum that is equivalent to small cubes in each section of CT image in a certain partial contour, the voxel volume of phase when just obtaining each, thereby be not subjected to the form of left ventricle, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle and papillary muscles on the impact of ventricular volume, calculate more accurate.
(2) the present invention applies to the partitioning algorithm based on registration in the automatic obtaining method of four-dimensional cardiac Evaluation on Cardiac Function parameter, this partitioning algorithm has the fast and high advantage of degree of accuracy of speed, has therefore further improved the accuracy of four-dimensional cardiac Evaluation on Cardiac Function parameter detecting.
Mutually four-dimensional cardiac image when (2) the present invention adopts double source CT to obtain each with the electrocardiogram gating technology, double source CT (Dual-source CT, DSCT) high-quality image and details have been realized with extremely low exposure dose, it has the temporal resolution of 83ms, when carrying out acquisition of cardiac images, be not subjected to the impact of heart rate, the heart scanning of all hearts rate can be supported, therefore ideal four-dimensional cardiac CT image can be got access to.
Description of drawings
Fig. 1 is the flow chart of the inventive method.
Fig. 2 for obtain by the inventive method teenage group left ventricular volume-time the phase curve.
Fig. 3 is for respectively by the inventive method and the teenage group of left ventricular volume-time of obtaining based on manual dividing method curve mutually.
Adult group left ventricular volume-time phase the curve of Fig. 4 for obtaining by the inventive method.
Fig. 5 is for respectively by the inventive method and adult group left ventricular volume-time of obtaining based on manual dividing method curve mutually.
The adult group cardiac muscle volume-time phase curve of Fig. 6 for obtaining by the inventive method.
The specific embodiment
The present invention is described in further detail below in conjunction with embodiment and accompanying drawing, but embodiments of the present invention are not limited to this.
Embodiment
Be illustrated in figure 1 as the acquisition methods of the left ventricle cardiac functional parameter of four-dimensional cardiac, may further comprise the steps:
Mutually four-dimensional cardiac CT image when (1) obtaining 21 by double source CT with the ecg-gating technology;
(2) utilize based on the dividing method of registration to obtain each the time phase four-dimensional cardiac CT image slices carry out auto Segmentation, obtain the profile of left ventricle in the section;
(3) adopt the voxel volume addition method obtain cutting into slices in the left ventricle profile each the time phase the voxel volume, concrete steps are as follows:
(3-1) obtain the CT image each the time number of slices K that comprises mutually, the voxel number that comprises in the left ventricle profile in each section of phase when obtaining each by matlab software;
Single voxel volume in the left ventricle profile in each section of phase a when (3-2) calculating
ΔV
i:
ΔV
i=
ΔS
i*m*n,(i=1，2,3...K)；
The same pixel space of contiguous slices among phase a when wherein (m, n) is,
ΔS
iFor the time distance between i of phase a and i+1 the contiguous slices scanning position;
ΔV
iSingle voxel volume in a certain partial contour in i of phase a section when being;
Wherein in i section in the left ventricle profile pixel space P1 of pixel be (m, n), i scanning position S that cuts into slices
iBe b
iIn i+1 the section in the left ventricle profile pixel space P2 of pixel be (m, n), the scanning position that i+1 cuts into slices is S
I+1Be b
I+1, i+1 section and i distance of cutting into slices between the scanning position
ΔS
iFor:
ΔS
i=|S
i+1-S
i|=|b
i+1-b
i|；
(3-3) according to step (3-2) obtain the time phase a each section in voxel volume in the left ventricle profile:
Z
i＝X
i*
ΔV
i,(i=1，2,3...K)；
Wherein be X
iFor the time phase a i section in the number of voxel in the left ventricle profile, Z
iFor the time phase a in the volume of voxel in the left ventricle profile in i section;
(3-4) according to step (3-3) voxel volume of left ventricle profile in each section of phase a when obtaining, then will this moment the voxel volume addition of left ventricle profile in each section of phase a, obtain the voxel volume of left ventricle profile in all sections of phase this moment:
V wherein
aFor the time phase a all sections in the voxel volume of left ventricle profile;
(3-5) the voxel volume in the left ventricle profile in all sections of repeated execution of steps (3-2) to (3-4) phase when obtaining each, be left ventricle each the time phase the voxel volume;
(4) by left ventricle each the time phase the voxel volume judge relaxing period and the systole of heart, thereby acquire the cardiac functional parameter of heart left ventricle.
Equally, according to the method for above-mentioned steps can obtain right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time voxel volume in the profile in all sections mutually, be right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time phase the voxel volume, thereby obtain the cardiac functional parameter of heart.
The cardiac functional parameter of the heart that obtains by above-mentioned steps comprises stroke volume, ejection fraction and the myocardial mass of left ventricle and right ventricle; The left ventricle end-diastolic dimension and the end-systolic volume that are respectively left ventricle at minimum volume and the maximum volume of Shi Xiangzhong wherein; The left ventricle stroke volume equals left ventricular end-diastolic volume and deducts left ventricular end-systolic volume, left ventricular ejection fraction is whenever rich output and left ventricular end diastolic percentage ratio of left ventricle, wherein the right ventricle end-diastolic dimension and the end-systolic volume that are respectively right ventricle at minimum volume and the maximum volume of Shi Xiangzhong; The right ventricle stroke volume equals right ventricular end-diastolic volume and deducts right ventricular end-systolic volume, and right ventricular ejection fraction is whenever rich output and the ED percentage ratio of right ventricle of right ventricle, and myocardial mass equals myocardium volume and multiply by cardiac texture.
The dividing method that present embodiment adopts is based on the automatic division method of registration, to be applied in the method for present embodiment based on the automatic division method of registration, so that the acquisition methods of the four-dimensional cardiac cardiac functional parameter of present embodiment has had apparent in view raising on speed and precision.
The left ventricular volume of the underagefemale that to be illustrated in figure 2 as age of adopting the present embodiment method to obtain be 14 one full year of life with the time phase relation curve.Be illustrated in figure 3 as and adopt age obtaining respectively based on the method for manually cutting apart and present embodiment method the underagefemale left ventricular volume that was 14 one full year of life with the time mutually relation curve, wherein obtain based on the method for manually cutting apart each the time phase the voxel volume also be to adopt and voxel volume that the voxel volume addition method of present embodiment step (3) obtains.The object of Fig. 1 and Fig. 2 test is same person.
The age that the method by present embodiment that is illustrated in figure 4 as obtains be 52 one full year of life and the normal adult female of cardiac function left ventricular volume with the time phase relation curve.Be illustrated in figure 4 as and adopt an age that obtains respectively based on the method for manually cutting apart and present embodiment method be the normal adult female's left ventricular volume of 52 one full year of life and cardiac function with the time mutually relation curve.Wherein obtain based on the method for manually cutting apart each the time phase the voxel volume also be the voxel volume that adopts the voxel volume addition method with present embodiment step (3) to obtain.The object of Fig. 3 and Fig. 4 test is same person.
Shown in Fig. 3 to 6, adopt left ventricle that the method for present embodiment obtains each the time phase volume with substantially all consistent in each sensible volume size based on manual dividing method, systole and relaxing period occur the time fit like a glove mutually.
Shown in Fig. 2 and 3, phase when this underagefemale heart left ventricle end-systolic volume (End-systolicvolume, EDV) appears at 35%, end-diastolic dimension (End-diastolic Volume, ESV) phase when appearing at 95%.
When manually cutting apart, the volume in left ventricular contraction latter stage is 51.11ml, and end-diastolic dimension is 116.25ml; When utilizing the method for present embodiment, the volume in left ventricular contraction latter stage is 58.41ml, and end-diastolic dimension is 130.86ml.
Left ventricle stroke volume (stroke volume, SV) equals the poor of left ventricular end-diastolic volume and end-systolic volume, and when namely manually cutting apart, the left ventricle stroke volume that obtains is 65.14ml; When utilizing the method for present embodiment, the left ventricle stroke volume that obtains is 72.45ml.
Left ventricular ejection fraction (Left Ventricular Ejection Fractions, LVEF) equal the percentage ratio of left ventricle stroke volume and end-diastolic dimension, when namely manually cutting apart, the left ventricular ejection fraction that obtains is 56.04%, when utilizing the method for present embodiment, the left ventricular ejection fraction that obtains is 55.36%.
Shown in Figure 4 and 5, the phase when left ventricular end-systolic volume (End-systolicvolume, EDV) of this adult female's heart appears at 40%, end-diastolic dimension (End-diastolic Volume, ESV) phase when appearing at 95%.
When manually cutting apart, the volume in left ventricular contraction latter stage is 39.96ml, and end-diastolic dimension is 109.45ml; When utilizing the method for present embodiment, the volume in left ventricular contraction latter stage is 46.28ml, and end-diastolic dimension is 109.31ml.
Left ventricle stroke volume (stroke volume, SV) equals the poor of left ventricular end-diastolic volume and end-systolic volume.When namely manually cutting apart, the left ventricle stroke volume that obtains is 69.49ml; When utilizing the method for present embodiment, the left ventricle stroke volume that obtains is 63.03ml.
Left ventricular ejection fraction (Left Ventricular Ejection Fractions, LVEF) equals the percentage ratio of left ventricle stroke volume and end-diastolic dimension.When namely manually cutting apart, the left ventricular ejection fraction that obtains is 63.49%, and when utilizing the method for present embodiment, the left ventricular ejection fraction that obtains is 57.66%.
Be illustrated in figure 6 as adult group cardiac muscle volume and the time phase relation curve chart, phase time when 25%-40%, myocardium volume sharply changes, the expression heart carries out strong contraction and penetrates blood, therefore myocardium volume-curve also can be assisted the diagnosis of disease.
Can learn from time the graph of relation between phase and the volume of Fig. 2 to Fig. 6, comparatively approaching with the parameter of obtaining based on the method for manually cutting apart by the cardiac functional parameter that the method for present embodiment is obtained, namely the present embodiment method has further improved the degree of accuracy of cardiac functional parameter on the basis that guarantees acquisition speed.
Above-described embodiment is the better embodiment of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other any do not deviate from change, the modification done under spirit of the present invention and the principle, substitutes, combination, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (9)
1. a four-dimensional cardiac cardiac functional parameter automatic obtaining method is characterized in that, may further comprise the steps:
The four-dimensional cardiac CT image of phase when (1) obtaining each;
(2) utilize dividing method to obtain each the time phase four-dimensional cardiac CT image slices carry out auto Segmentation, obtain the profile of left ventricle in the section, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle;
The voxel volume of phase when (3) adopting the voxel volume addition method to obtain in the CT image slices in left ventricle, right ventricle, left atrium, right atrium, coronary artery and the myocardial contours each, concrete steps are as follows:
(3-1) obtain the CT image each the time number of slices that comprises mutually, the voxel number that comprises in the various piece profile in each section of phase when obtaining each;
Single voxel volume in a certain partial contour in each section of phase a when (3-2) calculating
ΔV
i:
(3-3) with time the single voxel volume in phase a each a certain partial contour of cutting into slices that obtains in the step (3-2)
ΔV
iMultiply by the number of the interior voxel of a certain partial contour in the respective slice, the volume Z of the interior voxel of a certain partial contour in each section of phase a when obtaining
i
(3-4) according to step (3-3) voxel volume Zi in a certain partial contour in each section of phase a when obtaining, then the voxel volume addition in a certain partial contour at this moment each section of phase a, the voxel volume V in a certain partial contour in all sections of phase a when obtaining
a
(3-5) the voxel volume in a certain partial contour in all sections of repeated execution of steps (3-2) to (3-4) phase when obtaining each;
(3-6) according to step (3-1) to (3-5) obtain each the time phase all sections in voxel volume in left ventricle, right ventricle, left atrium, right atrium, coronary artery and the myocardial contours, be left ventricle, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time phase the voxel volume; Wherein certain part in the above-mentioned steps refers to left ventricle, right ventricle, left atrium, right atrium, coronary artery or cardiac muscle;
(4) by left ventricle, right ventricle, left atrium, right atrium, coronary artery and cardiac muscle each the time phase the voxel volume judge relaxing period and the systole of heart, thereby acquire the cardiac functional parameter of heart.
2. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, in the described step (3-2)
ΔV
iFor:
ΔV
i=
ΔS
i*m*n,(i＝1，2,3...K)；
The same pixel space of contiguous slices among phase a when wherein (m, n) is, K be the CT image the time number of slices that comprises during phase a,
ΔS
iFor the time distance between i of phase a and i+1 the contiguous slices scanning position;
ΔV
iFor the time phase a i section in single voxel volume in a certain partial contour;
Wherein
ΔS
iFor:
ΔS
i=|S
i+1-S
i|=|b
i+1-b
i|；
B wherein
iBe i section S
iScanning position, b
I+1Be i+1 section S
I+1Scanning position.
3. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 2 is characterized in that, the volume Z of the interior voxel of a certain partial contour in each section of phase a in the time of in the described step (3-3)
iFor;
Z
i＝X
i*
ΔV
i,(i＝1，2,3...K)；
Wherein be X
iFor the time phase a i section in the number of voxel in a certain partial contour, Z
iFor the time phase a i section in the volume of voxel in a certain partial contour.
4. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 3 is characterized in that, the voxel volume V in a certain partial contour in all sections of phase a in the time of in the described step (3-4)
aFor:
5. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, in the described step (1) by double source CT and ecg-gating technology obtain four-dimensional cardiac each the time mutually CT image.
6. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, the dividing method in the described step (2) is the dividing method based on registration.
7. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, the voxel number that comprises in the various piece profile in each section of the CT image in the described step (3) obtains by the matlab software programming.
8. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, the CT image each the time number of slices that comprises mutually be identical.
9. four-dimensional cardiac cardiac functional parameter automatic obtaining method according to claim 1 is characterized in that, the cardiac functional parameter of the heart that obtains in the described step (4) comprises stroke volume, ejection fraction and the myocardial mass of left ventricle and right ventricle; The left ventricle end-diastolic dimension and the end-systolic volume that are respectively left ventricle at minimum volume and the maximum volume of Shi Xiangzhong wherein; The left ventricle stroke volume equals left ventricular end-diastolic volume and deducts left ventricular end-systolic volume, left ventricular ejection fraction is whenever rich output and left ventricular end diastolic percentage ratio of left ventricle, wherein the right ventricle end-diastolic dimension and the end-systolic volume that are respectively right ventricle at minimum volume and the maximum volume of Shi Xiangzhong; The right ventricle stroke volume equals right ventricular end-diastolic volume and deducts right ventricular end-systolic volume, and right ventricular ejection fraction is whenever rich output and the ED percentage ratio of right ventricle of right ventricle, and myocardial mass equals myocardium volume and multiply by cardiac texture.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103908279A (en) * | 2013-01-07 | 2014-07-09 | 上海联影医疗科技有限公司 | Method for identifying heart status time phase |
| CN106562779A (en) * | 2015-10-12 | 2017-04-19 | 深圳迈瑞生物医疗电子股份有限公司 | Ventricular ejection fraction change graphically-displaying apparatus and method, and monitoring system |
| CN109345498A (en) * | 2018-10-05 | 2019-02-15 | 数坤（北京）网络科技有限公司 | Merge the coronary artery dividing method of double source CT data |
| CN110312475A (en) * | 2016-11-11 | 2019-10-08 | 奥胡斯大学 | Method and system for being modeled to human heart and atrium |
| CN111481176A (en) * | 2020-05-20 | 2020-08-04 | 三峡大学附属仁和医院 | Rapid quantitative method for evaluating cardiac function based on magnetic resonance imaging |
| CN111724395A (en) * | 2020-06-12 | 2020-09-29 | 中南民族大学 | Heart image four-dimensional context segmentation method, device, storage medium and device |
| CN112381780A (en) * | 2020-11-11 | 2021-02-19 | 上海市第六人民医院 | Coronary microcirculation condition evaluation device and method |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0542414A1 (en) * | 1991-11-14 | 1993-05-19 | Picker International, Inc. | Method of measuring ventricular volumes |
| CN1777898A (en) * | 2003-04-24 | 2006-05-24 | 皇家飞利浦电子股份有限公司 | Non-invasive left ventricular volume determination |
| CN101236663A (en) * | 2007-12-29 | 2008-08-06 | 浙江工业大学 | Heart capacity calculation method based on NURBS curve surface integral |
| CN102166123A (en) * | 2010-02-25 | 2011-08-31 | 美国西门子医疗解决公司 | Volumetric quantification for ultrasound diagnostic imaging |
-
2012
- 2012-11-27 CN CN2012104973307A patent/CN102961161A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0542414A1 (en) * | 1991-11-14 | 1993-05-19 | Picker International, Inc. | Method of measuring ventricular volumes |
| CN1777898A (en) * | 2003-04-24 | 2006-05-24 | 皇家飞利浦电子股份有限公司 | Non-invasive left ventricular volume determination |
| CN101236663A (en) * | 2007-12-29 | 2008-08-06 | 浙江工业大学 | Heart capacity calculation method based on NURBS curve surface integral |
| CN102166123A (en) * | 2010-02-25 | 2011-08-31 | 美国西门子医疗解决公司 | Volumetric quantification for ultrasound diagnostic imaging |
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| CN103908279B (en) * | 2013-01-07 | 2017-07-28 | 上海联影医疗科技有限公司 | A kind of recognition methods of heart state time phase |
| CN103908279A (en) * | 2013-01-07 | 2014-07-09 | 上海联影医疗科技有限公司 | Method for identifying heart status time phase |
| CN106562779A (en) * | 2015-10-12 | 2017-04-19 | 深圳迈瑞生物医疗电子股份有限公司 | Ventricular ejection fraction change graphically-displaying apparatus and method, and monitoring system |
| CN110312475A (en) * | 2016-11-11 | 2019-10-08 | 奥胡斯大学 | Method and system for being modeled to human heart and atrium |
| JP2019537035A (en) * | 2016-11-11 | 2019-12-19 | オーフス・ウニベルジテートAarhus Universitet | Methods and systems for modeling the human heart and atrium |
| CN109345498B (en) * | 2018-10-05 | 2021-07-13 | 数坤(北京)网络科技股份有限公司 | Coronary artery segmentation method fusing dual-source CT data |
| CN109345498A (en) * | 2018-10-05 | 2019-02-15 | 数坤（北京）网络科技有限公司 | Merge the coronary artery dividing method of double source CT data |
| CN113316420A (en) * | 2018-12-20 | 2021-08-27 | 皇家飞利浦有限公司 | Method and system for monitoring the function of the heart |
| CN111481176A (en) * | 2020-05-20 | 2020-08-04 | 三峡大学附属仁和医院 | Rapid quantitative method for evaluating cardiac function based on magnetic resonance imaging |
| CN111724395A (en) * | 2020-06-12 | 2020-09-29 | 中南民族大学 | Heart image four-dimensional context segmentation method, device, storage medium and device |
| CN111724395B (en) * | 2020-06-12 | 2023-08-01 | 中南民族大学 | Four-dimensional context segmentation method, device, storage medium and apparatus for heart image |
| CN112381780B (en) * | 2020-11-11 | 2021-04-20 | 上海市第六人民医院 | Coronary microcirculation condition evaluation device and method |
| CN112381780A (en) * | 2020-11-11 | 2021-02-19 | 上海市第六人民医院 | Coronary microcirculation condition evaluation device and method |
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