Myocardial resection region determination method and device, computer device and storage medium
By generating a three-dimensional model of the heart and precisely setting the angle and depth of the scalpel, the problem of lack of quantitative data support in traditional methods is solved, thereby improving the accuracy and safety of preoperative planning for myocardial resection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BOYI HUIXIN (HANGZHOU) NETWORK TECH CO LTD
- Filing Date
- 2026-03-18
- Publication Date
- 2026-07-21
AI Technical Summary
Traditional methods for preoperative planning of ventricular septal myocardial resection lack quantitative data support, rely on the doctor's personal experience and the limited cross-sectional information provided by two-dimensional ultrasound, and cannot fully and accurately reflect the overall anatomy of the ventricular septum, leading to misjudgment of the surgical area and insufficient or excessive resection thickness.
By acquiring cardiac scan images, a 3D model of the heart is generated, the short-axis and long-axis sections of the heart are determined, the clock angle of the scalpel and the resection depth are precisely set, and the myocardial resection process is simulated using a pre-trained deep learning model and medical imaging tools, combined with the Marching Cube algorithm and Boolean operations, providing accurate preoperative planning.
It improves the accuracy and safety of myocardial resection area planning, ensures that the scalpel is precisely aligned with the target area and avoids key structures, provides comprehensive cardiac structural information, and enhances the precision and safety of the surgery.
Smart Images
Figure CN121861246B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of computer simulation technology, and in particular to a method, apparatus, computer device, and storage medium for determining the myocardial resection area. Background Technology
[0002] Hypertrophic cardiomyopathy (HCM) is a cardiovascular disease characterized primarily by thickening of the left ventricular septum. Its main pathological feature is obstruction of the left ventricular outflow tract due to septal hypertrophy, leading to abnormal cardiac hemodynamics and causing clinical symptoms such as chest pain, syncope, and heart failure. For patients with severe outflow tract obstruction, septal myocardectomy is the "gold standard" and anatomically radical treatment for HCM. Traditional methods for preoperative planning of septal myocardectomy often rely on the surgeon's personal experience, lacking quantitative data support and depending on the limited sectional information provided by two-dimensional ultrasound, which cannot fully and accurately reflect the complete anatomy of the septum, easily leading to misjudgment of the surgical area and insufficient or excessive resection thickness. Therefore, providing a precise preoperative surgical planning method to improve the accuracy of preoperative myocardial resection planning is a problem that needs to be solved. Summary of the Invention
[0003] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for determining the myocardial resection area that can improve the accuracy of preoperative planning of the myocardial resection area, in order to address the above-mentioned technical problems.
[0004] In a first aspect, this application provides a method for determining the myocardial resection region, the method comprising:
[0005] Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0006] Based on the aforementioned three-dimensional model of the heart, determine the short-axis section and the long-axis section of the heart;
[0007] On the short-axis section of the heart, determine the clock angle of the scalpel;
[0008] Based on the clock angle, the resection depth of the scalpel is determined on the long axis section of the heart;
[0009] Using a surgical scalpel model, myocardial resection is performed on the three-dimensional model of the heart according to the clock angle and the resection depth. An updated three-dimensional model is then determined after myocardial resection, and the resection area is marked on the updated three-dimensional model.
[0010] In one embodiment, acquiring cardiac scan images and determining a three-dimensional model of the heart based on the cardiac scan images includes:
[0011] Acquire cardiac scan images; the cardiac scan images include three-dimensional images of the myocardium, left ventricular blood flow chamber, aortic valve, and mitral valve;
[0012] The cardiac scan images are resampled based on the model processing parameters of the cardiac model generation model to determine standardized images; the cardiac model generation model is a pre-trained deep learning model.
[0013] The model is generated using the heart model, and the myocardial mask, left ventricular blood flow cavity mask, aortic valve mask, and mitral valve mask are determined based on the standardized images.
[0014] A three-dimensional model of the heart is generated using the moving cube algorithm based on the myocardial mask, the left ventricular blood flow cavity mask, the aortic valve mask, and the mitral valve mask.
[0015] In one embodiment, determining the clock angle of the scalpel on the short-axis section of the heart includes:
[0016] A reference point is determined on the short axis section of the heart, and a clock coordinate system is constructed based on the reference point;
[0017] Based on the clock coordinate system, the range of the first interventricular septum region is extracted from the short-axis section of the heart using medical imaging tools;
[0018] Determine the geometric centerline of the first interventricular septum region;
[0019] The clock angle of the scalpel is determined on the short axis section of the heart based on the geometric center line and the reference point.
[0020] In one embodiment, determining the clock angle of the scalpel on the short-axis section of the heart based on the geometric centerline and the reference point includes:
[0021] The angle between the geometric center line and the baseline corresponding to the reference point is taken as the initial angle;
[0022] Determine whether the myocardial region corresponding to the initial angle is adjacent to a coronary artery branch and / or valve attachment point;
[0023] If not, then the initial angle is determined to be the clock angle of the scalpel on the short-axis section of the heart.
[0024] In one embodiment, determining the resection depth of the scalpel on the long axis section of the heart based on the clock angle includes:
[0025] Using medical imaging tools, the longitudinal boundary of the target area is determined from the long axis section of the heart, and based on the longitudinal boundary of the target area, the range of the second ventricular septum region is extracted from the long axis section of the heart.
[0026] Based on the clock angle, the center of the target area is determined from the range of the second ventricular septum region, and the ventricular septum thickness at the center of the target area is determined.
[0027] The cutting depth of the scalpel is determined based on the interventricular septum thickness.
[0028] In one embodiment, determining the resection depth of the scalpel based on the interventricular septum thickness includes:
[0029] The initial resection depth is determined based on the interventricular septum thickness and the preset safe retention thickness;
[0030] Determine whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures;
[0031] If so, the initial resection depth is corrected to determine the corrected depth;
[0032] Based on the clock angle, determine whether the correction depth is greater than the depth of the region corresponding to the first interventricular septum region in the short-axis section of the heart;
[0033] If not, then the corrected depth is determined to be the resection depth of the scalpel.
[0034] In one embodiment, the above method for determining the myocardial resection area further includes:
[0035] Based on the updated 3D model, extract the cardiac fluid domain model;
[0036] The cardiac fluid domain model is discretized to determine the discretized grid data corresponding to the cardiac fluid domain model;
[0037] Determine the model boundary condition data for the cardiac fluid domain model; the model boundary condition data includes inlet boundary condition data, outlet boundary condition data, and wall boundary condition data;
[0038] Determine the fluid physics model and determine the physical model parameter data of the fluid physics model;
[0039] Hemodynamic analysis is performed on the updated 3D model using the Navier-Stokes equations, based on the discretized grid data, the model boundary condition data, and the physical model parameter data.
[0040] Secondly, this application also provides a device for determining the myocardial resection area, the device comprising:
[0041] The three-dimensional model determination module is used to acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images.
[0042] The section determination module is used to determine the short-axis section and long-axis section of the heart based on the three-dimensional model of the heart.
[0043] A clock angle determination module is used to determine the clock angle of the scalpel on the short-axis section of the heart.
[0044] The resection depth determination module is used to determine the resection depth of the scalpel on the long axis section of the heart based on the clock angle.
[0045] The model update module is used to perform myocardial resection on the three-dimensional model of the heart using a scalpel model, based on the clock angle and the resection depth, and to determine the updated three-dimensional model after myocardial resection, and to mark the resection area on the updated three-dimensional model.
[0046] Thirdly, this application also provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:
[0047] Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0048] Based on the aforementioned three-dimensional model of the heart, determine the short-axis section and the long-axis section of the heart;
[0049] On the short-axis section of the heart, determine the clock angle of the scalpel;
[0050] Based on the clock angle, the resection depth of the scalpel is determined on the long axis section of the heart;
[0051] Using a surgical scalpel model, myocardial resection is performed on the three-dimensional model of the heart according to the clock angle and the resection depth. An updated three-dimensional model is then determined after myocardial resection, and the resection area is marked on the updated three-dimensional model.
[0052] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0053] Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0054] Based on the aforementioned three-dimensional model of the heart, determine the short-axis section and the long-axis section of the heart;
[0055] On the short-axis section of the heart, determine the clock angle of the scalpel;
[0056] Based on the clock angle, the resection depth of the scalpel is determined on the long axis section of the heart;
[0057] Using a surgical scalpel model, myocardial resection is performed on the three-dimensional model of the heart according to the clock angle and the resection depth. An updated three-dimensional model is then determined after myocardial resection, and the resection area is marked on the updated three-dimensional model.
[0058] The aforementioned method, apparatus, computer equipment, and storage medium for determining the myocardial resection area acquire cardiac scan images and determine a three-dimensional cardiac model based on these images. The three-dimensional cardiac model is then used to determine short-axis and long-axis sections. On the short-axis section, the clockwise angle of the scalpel is determined. Based on the clockwise angle, the resection depth of the scalpel is determined on the long-axis section. Using the scalpel model, and based on the clockwise angle and resection depth, myocardial resection is performed on the three-dimensional cardiac model. An updated three-dimensional model is then determined, and the resection area is marked on the updated model. This method solves the problems of traditional methods for preoperative planning of ventricular septal myocardial resection, which often rely on the surgeon's personal experience, lack quantitative data support, and depend on limited sectional information provided by two-dimensional ultrasound, failing to fully and accurately reflect the overall anatomy of the ventricular septum, easily leading to misjudgment of the surgical area and insufficient or excessive resection thickness. The above-mentioned approach involves acquiring cardiac CTA images, calculating and smoothing a three-dimensional cardiac model based on the images, determining standard sections of the heart's long and short axes based on the three-dimensional model, locating the clockwise angle of the scalpel on the short-axis CTA image of the left ventricle, and then locating the depth of the scalpel on the long-axis CTA image of the left ventricle. Based on the clockwise angle and depth of the scalpel, myocardial resection is simulated, providing accurate preoperative planning guidance and comprehensive cardiac structural information for myocardial resection, thereby improving the precision and safety of the procedure. Attached Figure Description
[0059] Figure 1 This is a flowchart illustrating a method for determining the myocardial resection area in one embodiment;
[0060] Figure 2 This is a flowchart illustrating a method for determining a three-dimensional model of the heart in one embodiment;
[0061] Figure 3 Example image of a cardiac anatomy visualization with region markings in one embodiment;
[0062] Figure 4 Here is an example diagram of a three-dimensional model of the heart in one embodiment;
[0063] Figure 5 This is a structural block diagram of a myocardial resection region determination device in one embodiment;
[0064] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0065] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0066] In one embodiment, such as Figure 1 As shown, a method for determining the myocardial resection region is provided. This embodiment illustrates the application of this method to a terminal. It is understood that this method can also be applied to a server, and further to a system including both a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:
[0067] S110. Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images.
[0068] Among them, cardiac scanning images refer to cardiac CTA (Coronary Computed Tomography Angiography) images, which are non-invasive medical imaging examinations that combine CT scanning and angiography technologies. They can clearly show the anatomical structure, morphology and lesions of the coronary arteries and related blood vessels, and are a key data source for the diagnosis and surgical planning of cardiovascular diseases such as hypertrophic cardiomyopathy.
[0069] Specifically, a 3D model of the heart can be generated from cardiac scan images using a pre-trained nnUne model. The nnUne model is a fully automated adaptive deep learning framework based on U-Net, designed for medical image segmentation.
[0070] For example, such as Figure 2 As shown, acquiring cardiac scan images and determining a three-dimensional cardiac model based on the cardiac scan images includes:
[0071] S1101. Obtain cardiac scan images.
[0072] Cardiac scan images include three-dimensional images of the myocardium, left ventricular blood flow chamber, aortic valve, and mitral valve.
[0073] Specifically, cardiac CT angiography involves intravenously injecting a contrast agent and then performing a CT scan on the patient's heart to obtain tomographic images of the heart structure, i.e., cardiac scan images.
[0074] S1102. Based on the model processing parameters of the cardiac model, the cardiac scan images are resampled to determine the standardized images.
[0075] The heart model is generated from a pre-trained deep learning model.
[0076] The pre-trained deep learning model is a pre-trained nnUne model. Cardiac scan image resampling refers to adjusting the spatial resolution and / or image size of cardiac scan images so that the adjusted cardiac scan images meet the requirements of subsequent 3D modeling tasks.
[0077] Specifically, cardiac scan images are resampled based on the model processing parameters of the cardiac model-generated model to adjust the size of the cardiac scan images to match the size of the pre-trained nnUne model, and the adjusted cardiac scan images are used as standardized images.
[0078] S1103. Generate a model using a cardiac model and determine the myocardial mask, left ventricular blood flow cavity mask, aortic valve mask, and mitral valve mask based on standardized images.
[0079] Among them, the segmentation mask is a pixel-level region marker.
[0080] Specifically, standardized images are input into the cardiac model generation model. The model automatically identifies myocardial images, left ventricular flow cavity images, aortic valve images, and mitral valve images from the standardized images, and outputs myocardial masks, left ventricular flow cavity masks, aortic valve masks, and mitral valve masks. For example, after combining the myocardial masks, left ventricular flow cavity masks, aortic valve masks, mitral valve masks, and the original cardiac image, a region-marked visual image of the heart anatomy is generated, such as... Figure 3 As shown.
[0081] S1104. Using the moving cube algorithm, a three-dimensional model of the heart is generated based on the myocardial mask, the left ventricular blood flow cavity mask, the aortic valve mask, and the mitral valve mask.
[0082] The Moving Cube algorithm is also known as the Marching Cube algorithm.
[0083] Specifically, the Marching Cube algorithm is used to convert the myocardial mask, left ventricular flow cavity mask, aortic valve mask, and mitral valve mask into continuous triangular mesh models, i.e., three-dimensional surface models. The Laplacian smoothing algorithm is then used to process the three-dimensional surface models, eliminating sharp edges and obtaining the three-dimensional heart model. The three-dimensional heart model is shown below. Figure 4 As shown.
[0084] The above scheme provides a method for generating a 3D cardiac model from cardiac CAT images using the nnU-Net model and the Marching Cube algorithm. It achieves automated pixel-level segmentation of the interventricular septum and left ventricular region through a pre-trained nnU-Net model, and combines the moving cube algorithm to convert the segmentation mask generated by the nnU-Net model into a 3D mesh model. The 3D cardiac model is then determined based on the 3D mesh model, which can improve the accuracy of the generated 3D cardiac model.
[0085] S120. Determine the short-axis and long-axis sections of the heart based on the three-dimensional model of the heart.
[0086] The short-axis view of the heart refers to a standardized anatomical section perpendicular to the long axis of the heart, and parallel to the plane containing the mitral and aortic annulus. The long axis of the heart is the axis connecting the center of the mitral annulus and the apex of the heart. The long-axis view of the heart is a standardized anatomical section parallel to the long axis of the heart.
[0087] Specifically, the center of the mitral valve annulus and the apex of the heart are determined from the three-dimensional model of the heart. The axis of the center of the mitral valve annulus and the apex of the heart is determined as the long axis of the heart. A long axis section of the heart is generated based on the long axis of the heart, and a short axis section of the heart perpendicular to the long axis section of the heart is determined.
[0088] S130. On the short-axis section of the heart, determine the clock angle of the scalpel.
[0089] It should be noted that in surgical planning for hypertrophic cardiomyopathy, the clock angle refers to the angle of rotation of the scalpel relative to a reference direction, established in a polar coordinate system with the center of the mitral valve annulus as the origin on the short-axis plane of the heart. The reference direction can be the aortic valve direction.
[0090] For example, the method for determining the clock angle of the scalpel includes:
[0091] S1301. Determine a reference point on the short axis section of the heart and construct a clock coordinate system based on the reference point.
[0092] Specifically, the reference point is the clearly visible anterior and lateral mitral valve annulus or the right coronary sinus of the aortic valve annulus on the short-axis section, i.e., reference 0°. Using the geometric center of the left ventricular cavity as the center, the short-axis section of the heart is divided into a 360° annular region, and 0°, 90°, 180°, and 270° are marked clockwise, thus converting the circumferential position into quantifiable angular values. This marked annular region is then used as a clock coordinate system.
[0093] S1302. Based on the clock coordinate system, the range of the first interventricular septum region is extracted from the short-axis section of the heart using medical imaging tools.
[0094] Among these, medical imaging tools can be 3D slicers. The ventricular septum region, or the thickened area of the ventricular septum, is the area that needs to be removed.
[0095] It should be noted that in cardiac scans, the ventricular septal hypertrophy region on the short-axis view of the heart is a high-density grayscale image with a clear boundary from normal myocardium. Therefore, the extent of the first ventricular septum region can be extracted from the short-axis view of the heart using a medical imaging tool like 3D Slicer, i.e., the area that needs to be removed can be confirmed using 3D Slicer.
[0096] S1303. Determine the geometric centerline of the first interventricular septum region.
[0097] It should be noted that the first ventricular septum region is the target area to be resected. The geometric center line of the first ventricular septum region is the target cutting direction of the scalpel. After the scalpel cuts along the geometric center line, the cut surface can cover the entire target area.
[0098] S1304. Determine the clock angle of the scalpel on the short axis section of the heart based on the geometric center line and reference point.
[0099] For example, the method for determining the clock angle may include: taking the angle between the geometric center line and the baseline corresponding to the reference point as the initial angle; determining whether the myocardial region corresponding to the initial angle is adjacent to the coronary artery branch and / or valve attachment point; if not, determining the initial angle as the clock angle of the scalpel on the short-axis section of the heart.
[0100] Specifically, the angle between the geometric center line and the baseline corresponding to the reference point is used as the initial angle. It is then used to determine whether the myocardial region corresponding to the initial angle is adjacent to key structures such as coronary artery branches and / or valve attachment points. If the myocardial region corresponding to the initial angle is not adjacent to key structures such as coronary artery branches and / or valve attachment points, then the initial angle has avoided key cardiac structures. The initial angle can be used as the clock angle of the scalpel on the short-axis section of the heart.
[0101] For example, if the myocardial region corresponding to the initial angle is adjacent to critical structures such as coronary artery branches and / or valve attachment points, the initial angle can be finely adjusted clockwise or counterclockwise based on a preset adjustment angle until the adjusted initial angle avoids critical cardiac structures. The adjusted initial angle is then used as the clockwise angle of the scalpel on the short-axis section of the heart. The adjustment angle can be set according to actual needs, for example, it can be 25°.
[0102] The above method enables the scalpel to be precisely aligned with the hypertrophic target area at a clockwise angle, while avoiding the risk of accidentally touching critical structures during the surgical incision, thus ensuring surgical safety.
[0103] S140. Based on the clock angle, determine the resection depth of the scalpel on the long axis section of the heart.
[0104] For example, determining the resection depth of the scalpel in a long-axis section of the heart based on the clock angle includes:
[0105] S1401. Using medical imaging tools, determine the longitudinal boundary of the target area from the long axis section of the heart, and extract the range of the second ventricular septum region from the long axis section of the heart based on the longitudinal boundary of the target area.
[0106] The longitudinal boundary of the target area can include a proximal boundary and a distal boundary. The proximal boundary refers to the starting point of the hypertrophy near the mitral valve annulus, such as 3 mm below the mitral valve annulus; the distal boundary refers to the ending point of the hypertrophy near the apex of the heart, such as 8 mm above the apex of the heart. The longitudinal boundary of the target area can be 3 mm to 8 mm, which is the coverage area of the hypertrophic portion to be removed in the longitudinal direction.
[0107] S1402. Based on the clock angle, determine the center of the target area from the range of the second interventricular septum region, and determine the interventricular septum thickness at the center of the target area.
[0108] Specifically, the center position of the target area is determined by the clock angle between the long-axis and short-axis sections of the heart, and the thickness at the center of the target area is determined as the ventricular septum thickness. The difference between the ventricular septum thickness and the preset safe retention thickness is used as the initial resection depth.
[0109] S1403. Determine the resection depth of the scalpel based on the thickness of the interventricular septum.
[0110] For example, methods for determining the depth of resection using a scalpel include:
[0111] Based on the interventricular septum thickness and a preset safe retention thickness, the initial resection depth is determined; it is then determined whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures; if so, the initial resection depth is corrected to determine the corrected depth; based on the clock angle, it is determined whether the corrected depth is greater than the depth of the region corresponding to the first interventricular septum region in the short-axis section of the heart; if not, the corrected depth is determined to be the resection depth of the scalpel.
[0112] Key cardiac structures may include: the left ventricular cavity, the apex of the heart, and the attachment point of the anterior mitral valve leaflet. The safety thickness can be set according to actual needs, for example, it could be 10 mm.
[0113] Specifically, it is determined whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures. If the myocardial region corresponding to the initial resection depth does not contain critical cardiac structures, the initial resection depth is determined to be the resection depth of the scalpel. If the myocardial region corresponding to the initial resection depth contains critical cardiac structures, the initial resection depth is corrected to determine the corrected depth. For example, the initial resection depth can be corrected according to a preset first adjustment depth value, making the initial resection depth gradually shallower until the corrected initial resection depth does not contain critical cardiac structures. The corrected initial resection depth is then used as the corrected depth. The first adjustment depth value can be set according to actual needs. The corrected depth is synchronized to the short-axis section of the heart, and it is determined whether the corrected depth at the position corresponding to the clock angle of the short-axis section of the heart only covers the first interventricular septum region. That is, it is determined whether the corrected depth is greater than the region depth corresponding to the first interventricular septum region on the short-axis section of the heart. If the corrected depth is less than or equal to the region depth corresponding to the first interventricular septum region, the corrected depth is determined to be the resection depth of the scalpel. If the correction depth is greater than the depth of the area corresponding to the first interventricular septum region, the correction depth is adjusted based on the preset second adjustment depth value until the adjusted correction depth is less than or equal to the depth of the area corresponding to the first interventricular septum region, and the adjusted correction depth is determined as the resection depth of the scalpel.
[0114] The above scheme uses the difference between the actual interventricular septum thickness at the center of the target area in the long axis section and the preset safe resection thickness as the initial resection depth. First, it verifies whether the initial resection depth includes key cardiac structures. By gradually reducing the depth, it achieves safe avoidance of key cardiac structures. Then, it verifies whether the correction depth exceeds the actual depth of the target area to avoid over-resection, thereby improving the safety of the operation.
[0115] S150. Using a scalpel model, perform myocardial resection on a three-dimensional model of the heart based on the clock angle and resection depth, determine the updated three-dimensional model after myocardial resection, and mark the resection area on the updated three-dimensional model.
[0116] The scalpel model is a three-dimensional model of a scalpel. When the scalpel passes through a two-dimensional section on the three-dimensional model of the heart, a cross-section is formed, and the position of the scalpel can be determined through this cross-section.
[0117] Specifically, using a scalpel model, myocardial resection is performed on a 3D cardiac model based on the clock angle and resection depth. During the resection, Boolean operations are performed on the scalpel model and the 3D cardiac model to determine the updated 3D model and the resection area after myocardial resection. It is then determined whether there are still unresected target areas in the updated 3D model; if so, the above steps are repeated until the target area is completely resected.
[0118] Boolean operations are a method for performing intersection operations on two 3D models. By performing Boolean operations on the scalpel model and the 3D heart model, the intersection area between the scalpel model and the 3D heart model can be determined. This intersection area is the myocardial tissue that can be removed in a single virtual resection.
[0119] The aforementioned method for determining the myocardial resection area involves acquiring cardiac scan images and determining a three-dimensional cardiac model based on these images. The three-dimensional cardiac model is then used to determine short-axis and long-axis sections. On the short-axis section, the clockwise angle of the scalpel is determined. Based on this clockwise angle, the resection depth is determined on the long-axis section. Using the scalpel model, and based on the clockwise angle and resection depth, myocardial resection is performed on the three-dimensional cardiac model. An updated three-dimensional model is then created after the myocardial resection, and the resection area is marked on this updated model. This method addresses the problems of traditional methods for preoperative planning of ventricular septal myocardial resection, which often rely on the surgeon's personal experience, lack quantitative data support, and depend on limited sectional information provided by two-dimensional ultrasound. This reliance on these methods fails to fully and accurately reflect the overall anatomy of the ventricular septum, potentially leading to misjudgment of the surgical area and insufficient or excessive resection thickness. The above-mentioned approach involves acquiring cardiac CTA images, calculating and smoothing a three-dimensional cardiac model based on the images, determining standard sections of the heart's long and short axes based on the three-dimensional model, locating the clockwise angle of the scalpel on the short-axis CTA image of the left ventricle, and then locating the depth of the scalpel on the long-axis CTA image of the left ventricle. Based on the clockwise angle and depth of the scalpel, myocardial resection is simulated, providing accurate preoperative planning guidance and comprehensive cardiac structural information for myocardial resection, thereby improving the precision and safety of the procedure.
[0120] For example, based on the above embodiments, the method for determining the myocardial resection area further includes:
[0121] Based on the updated 3D model, a cardiac fluid domain model is extracted; the cardiac fluid domain model is discretized to determine the corresponding discretized mesh data; the model boundary condition data of the cardiac fluid domain model is determined, including inlet boundary condition data, outlet boundary condition data, and wall boundary condition data; the fluid physics model is determined, and the physical model parameter data of the fluid physics model are determined; hemodynamic analysis is performed on the updated 3D model using the Navier-Stokes equations, based on the discretized mesh data, model boundary condition data, and physical model parameter data.
[0122] The cardiac fluid domain model includes models of the left ventricular outflow tract and blood vessels. The fluid physics model can be selected based on actual needs, such as a non-Newtonian fluid model. The physical model parameters are fundamental data describing the inherent properties and flow physics of blood. They are used to quantify the material properties, flow behavior, and physical rules of numerical calculations of blood, ensuring that simulation results conform to physiological realities and fluid mechanics principles. The physical model parameters can include blood physical property parameters, flow model parameters, and physical parameters related to numerical calculations.
[0123] The above approach, through hemodynamic analysis of the updated three-dimensional model, can determine whether the approach has achieved the therapeutic goal and predict whether there is a risk of cardiac structural damage to the resection approach, thereby further optimizing the resection range, ensuring the accuracy of the determined myocardial resection area and the safety of subsequent surgery.
[0124] For example, based on the above embodiments, the method for determining the myocardial resection area includes:
[0125] Cardiac CT angiography involves intravenously injecting contrast agent and then performing a CT scan of the patient's heart to obtain tomographic images of the cardiac structures, i.e., cardiac scan images. These images include three-dimensional images of the myocardium, left ventricular flow cavity, aortic valve, and mitral valve. Based on the model processing parameters of a cardiac model generation model, the cardiac scan images are resampled to match the size of the pre-trained nnUne model. These resampled images are then used as standardized images. The standardized images are input into the cardiac model generation model, which automatically identifies the myocardium, left ventricular flow cavity, aortic valve, and mitral valve images from them and outputs myocardial, left ventricular, aortic, and mitral valve masks. Using the Marching Cube algorithm, the myocardial, left ventricular, aortic, and mitral valve masks are converted into continuous triangular mesh models, i.e., three-dimensional surface models. The three-dimensional surface model is processed by the Laplacian smoothing algorithm to eliminate the sharp edges and corners, thus obtaining a three-dimensional model of the heart.
[0126] The center and apex of the mitral valve annulus are determined from a 3D model of the heart. The axis of the mitral valve annulus center and apex is defined as the long axis of the heart. A long axis section is generated based on the long axis, and a short axis section perpendicular to the long axis section is also determined. A reference point is determined on the short axis section, and a clock coordinate system is constructed based on the reference point. Based on the clock coordinate system, the range of the first interventricular septum region is extracted from the short axis section using medical imaging tools. The geometric centerline of the first interventricular septum region is determined. The angle between the geometric centerline and the reference line corresponding to the reference point is used as the initial angle. It is determined whether the myocardial region corresponding to the initial angle is adjacent to critical structures such as coronary artery branches and / or valve attachment points. If the myocardial region corresponding to the initial angle is not adjacent to critical structures such as coronary artery branches and / or valve attachment points, the initial angle avoids critical cardiac structures and can be used as the clock angle of the scalpel on the short axis section of the heart. If the myocardial region corresponding to the initial angle is adjacent to critical structures such as coronary artery branches and / or valve attachment points, the initial angle can be finely adjusted clockwise or counterclockwise based on the preset adjustment angle until the adjusted initial angle can avoid the critical structures of the heart. The adjusted initial angle is then used as the clock angle of the scalpel on the short-axis section of the heart.
[0127] Using medical imaging tools, the longitudinal boundary of the target area is determined from the long-axis section of the heart, and the range of the second interventricular septum is extracted from the long-axis section based on the longitudinal boundary of the target area. The center position of the target area corresponding to the clock angle of the heart's long-axis section and short-axis section is determined, and the thickness at the center position of the target area is determined as the interventricular septum thickness. The difference between the interventricular septum thickness and a preset safe retention thickness is used as the initial resection depth. It is determined whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures. If the myocardial region corresponding to the initial resection depth does not contain critical cardiac structures, the initial resection depth is determined as the resection depth of the scalpel. If the myocardial region corresponding to the initial resection depth contains critical cardiac structures, the initial resection depth is corrected to determine the corrected depth. For example, the initial resection depth can be corrected according to a preset first adjustment depth value, making the initial resection depth gradually shallower until the corrected initial resection depth does not contain critical cardiac structures. The corrected initial resection depth is then used as the corrected depth. The first adjustment depth value can be set according to actual needs. The correction depth is synchronized to the short-axis view of the heart. It is determined whether the correction depth at the position corresponding to the clock angle of the short-axis view only covers the first interventricular septum region. Specifically, it is determined whether the correction depth is greater than the region depth corresponding to the first interventricular septum region on the short-axis view. If the correction depth is less than or equal to the region depth corresponding to the first interventricular septum region, the correction depth is determined as the resection depth of the scalpel. If the correction depth is greater than the region depth corresponding to the first interventricular septum region, the correction depth is adjusted based on a preset second adjustment depth value until the adjusted correction depth is less than or equal to the region depth corresponding to the first interventricular septum region. The adjusted correction depth is then determined as the resection depth of the scalpel.
[0128] Using a scalpel model, myocardial resection is performed on a 3D cardiac model based on the clock angle and resection depth. During resection, Boolean operations are performed on both the scalpel model and the 3D cardiac model to determine the updated 3D model and the resection area. It is then determined whether any unresected target areas remain in the updated 3D model; if so, the above steps are repeated until the target area is completely resected.
[0129] Based on the updated 3D model, a cardiac fluid domain model is extracted; the cardiac fluid domain model is discretized to determine the corresponding discretized mesh data; the model boundary condition data of the cardiac fluid domain model is determined, including inlet boundary condition data, outlet boundary condition data, and wall boundary condition data; the fluid physics model is determined, and the physical model parameter data of the fluid physics model are determined; hemodynamic analysis is performed on the updated 3D model using the Navier-Stokes equations, based on the discretized mesh data, model boundary condition data, and physical model parameter data.
[0130] The aforementioned method for determining the myocardial resection area involves acquiring cardiac scan images and determining a three-dimensional cardiac model based on these images. The three-dimensional cardiac model is then used to determine short-axis and long-axis sections. On the short-axis section, the clockwise angle of the scalpel is determined. Based on this clockwise angle, the resection depth is determined on the long-axis section. Using the scalpel model, and based on the clockwise angle and resection depth, myocardial resection is performed on the three-dimensional cardiac model. An updated three-dimensional model is then created after the myocardial resection, and the resection area is marked on this updated model. This method addresses the problems of traditional methods for preoperative planning of ventricular septal myocardial resection, which often rely on the surgeon's personal experience, lack quantitative data support, and depend on limited sectional information provided by two-dimensional ultrasound. This reliance on these methods fails to fully and accurately reflect the overall anatomy of the ventricular septum, potentially leading to misjudgment of the surgical area and insufficient or excessive resection thickness. The above-mentioned approach involves acquiring cardiac CTA images, calculating and smoothing a three-dimensional cardiac model based on the images, determining standard sections of the heart's long and short axes based on the three-dimensional model, locating the clockwise angle of the scalpel on the short-axis CTA image of the left ventricle, and then locating the depth of the scalpel on the long-axis CTA image of the left ventricle. Based on the clockwise angle and depth of the scalpel, myocardial resection is simulated, providing accurate preoperative planning guidance and comprehensive cardiac structural information for myocardial resection, thereby improving the precision and safety of the procedure.
[0131] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0132] Based on the same inventive concept, this application also provides a myocardial resection region determination device for implementing the aforementioned method for determining the myocardial resection region. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the myocardial resection region determination device provided below can be found in the limitations of the myocardial resection region determination method described above, and will not be repeated here.
[0133] In one embodiment, such as Figure 5As shown, a device for determining the myocardial resection area is provided, comprising: a three-dimensional model determination module 601, a section plane determination module 602, a clock angle determination module 603, a resection depth determination module 604, and a model update module 605, wherein:
[0134] The three-dimensional model determination module 601 is used to acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images.
[0135] The section determination module 602 is used to determine the short-axis section and the long-axis section of the heart based on the three-dimensional model of the heart.
[0136] The clock angle determination module 603 is used to determine the clock angle of the scalpel on the short axis section of the heart.
[0137] The resection depth determination module 604 is used to determine the resection depth of the scalpel on the long axis section of the heart based on the clock angle.
[0138] The model update module 605 is used to perform myocardial resection on the three-dimensional model of the heart using a scalpel model, based on the clock angle and the resection depth, and to determine the updated three-dimensional model after myocardial resection, and to mark the resection area on the updated three-dimensional model.
[0139] For example, the 3D model determination module 601 is specifically used for:
[0140] Acquire cardiac scan images; the cardiac scan images include three-dimensional images of the myocardium, left ventricular blood flow chamber, aortic valve, and mitral valve;
[0141] The cardiac scan images are resampled based on the model processing parameters of the cardiac model generation model to determine standardized images; the cardiac model generation model is a pre-trained deep learning model.
[0142] The model is generated using the heart model, and the myocardial mask, left ventricular blood flow cavity mask, aortic valve mask, and mitral valve mask are determined based on the standardized images.
[0143] A three-dimensional model of the heart is generated using the moving cube algorithm based on the myocardial mask, the left ventricular blood flow cavity mask, the aortic valve mask, and the mitral valve mask.
[0144] For example, the clock angle determination module 603 is specifically used for:
[0145] A reference point is determined on the short axis section of the heart, and a clock coordinate system is constructed based on the reference point;
[0146] Based on the clock coordinate system, the range of the first interventricular septum region is extracted from the short-axis section of the heart using medical imaging tools;
[0147] Determine the geometric centerline of the first interventricular septum region;
[0148] The clock angle of the scalpel is determined on the short axis section of the heart based on the geometric center line and the reference point.
[0149] Furthermore, the clock angle determination module 603 is also specifically used for:
[0150] The angle between the geometric center line and the baseline corresponding to the reference point is taken as the initial angle;
[0151] Determine whether the myocardial region corresponding to the initial angle is adjacent to a coronary artery branch and / or valve attachment point;
[0152] If not, then the initial angle is determined to be the clock angle of the scalpel on the short-axis section of the heart.
[0153] For example, the resection depth determination module 604 is specifically used for:
[0154] Using medical imaging tools, the longitudinal boundary of the target area is determined from the long axis section of the heart, and based on the longitudinal boundary of the target area, the range of the second ventricular septum region is extracted from the long axis section of the heart.
[0155] Based on the clock angle, the center of the target area is determined from the range of the second ventricular septum region, and the ventricular septum thickness at the center of the target area is determined.
[0156] The cutting depth of the scalpel is determined based on the interventricular septum thickness.
[0157] For example, the cut depth determination module 604 is also specifically used for:
[0158] The initial resection depth is determined based on the interventricular septum thickness and the preset safe retention thickness;
[0159] Determine whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures;
[0160] If so, the initial resection depth is corrected to determine the corrected depth;
[0161] Based on the clock angle, determine whether the correction depth is greater than the depth of the region corresponding to the first interventricular septum region in the short-axis section of the heart;
[0162] If not, then the corrected depth is determined to be the resection depth of the scalpel.
[0163] For example, the above-described myocardial resection area determination device further includes:
[0164] The dynamic analysis module is used to extract a cardiac fluid domain model based on an updated 3D model; discretize the cardiac fluid domain model to determine the corresponding discretized mesh data; determine the model boundary condition data of the cardiac fluid domain model, including inlet boundary condition data, outlet boundary condition data, and wall boundary condition data; determine the fluid physics model and its physical model parameters; and perform hemodynamic analysis on the updated 3D model using the Navier-Stokes equations, based on the discretized mesh data, the model boundary condition data, and the physical model parameter data.
[0165] The modules in the aforementioned myocardial resection area determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.
[0166] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for determining the myocardial resection area. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.
[0167] Those skilled in the art will understand that Figure 6The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0168] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0169] Step 1: Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0170] Step 2: Determine the short-axis and long-axis sections of the heart based on the aforementioned three-dimensional heart model;
[0171] Step 3: On the short axis section of the heart, determine the clock angle of the scalpel;
[0172] Step 4: Based on the clock angle, determine the resection depth of the scalpel on the long axis section of the heart;
[0173] Step 5: Using the scalpel model, perform myocardial resection on the three-dimensional model of the heart according to the clock angle and the resection depth, determine the updated three-dimensional model after myocardial resection, and mark the resection area on the updated three-dimensional model.
[0174] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0175] Step 1: Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0176] Step 2: Determine the short-axis and long-axis sections of the heart based on the aforementioned three-dimensional heart model;
[0177] Step 3: On the short axis section of the heart, determine the clock angle of the scalpel;
[0178] Step 4: Based on the clock angle, determine the resection depth of the scalpel on the long axis section of the heart;
[0179] Step 5: Using the scalpel model, perform myocardial resection on the three-dimensional model of the heart according to the clock angle and the resection depth, determine the updated three-dimensional model after myocardial resection, and mark the resection area on the updated three-dimensional model.
[0180] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:
[0181] Step 1: Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images;
[0182] Step 2: Determine the short-axis and long-axis sections of the heart based on the aforementioned three-dimensional heart model;
[0183] Step 3: On the short axis section of the heart, determine the clock angle of the scalpel;
[0184] Step 4: Based on the clock angle, determine the resection depth of the scalpel on the long axis section of the heart;
[0185] Step 5: Using the scalpel model, perform myocardial resection on the three-dimensional model of the heart according to the clock angle and the resection depth, determine the updated three-dimensional model after myocardial resection, and mark the resection area on the updated three-dimensional model.
[0186] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.
[0187] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.
[0188] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0189] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A method for determining the myocardial resection region, characterized in that, include: Acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images; Based on the aforementioned three-dimensional model of the heart, determine the short-axis section and the long-axis section of the heart; On the short-axis section of the heart, determine the clock angle of the scalpel; Based on the clock angle, the resection depth of the scalpel is determined on the long axis section of the heart; Using a scalpel model, myocardial resection is performed on the three-dimensional model of the heart according to the clock angle and the resection depth. During the resection, Boolean operations are performed on the scalpel model and the three-dimensional model of the heart to determine the updated three-dimensional model and the resection area after myocardial resection, and the resection area is marked on the updated three-dimensional model. Based on the clock angle, the surgical depth is determined on the long axis section of the heart, including: Using medical imaging tools, the longitudinal boundary of the target area is determined from the long axis section of the heart, and based on the longitudinal boundary of the target area, the range of the second ventricular septum region is extracted from the long axis section of the heart. Based on the clock angle, the center of the target area is determined from the range of the second ventricular septum region, and the ventricular septum thickness at the center of the target area is determined. The surgical depth is determined based on the interventricular septum thickness; Determining the resection depth of the scalpel based on the interventricular septum thickness includes: The initial resection depth is determined based on the interventricular septum thickness and the preset safe retention thickness; Determine whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures; If so, the initial resection depth is corrected to determine the corrected depth; Based on the clock angle, determine whether the correction depth is greater than the depth of the region corresponding to the first interventricular septum region in the short-axis section of the heart; If the correction depth is less than or equal to the depth of the region corresponding to the first ventricular septum region, then the correction depth is determined to be the resection depth of the scalpel. If the correction depth is greater than the depth of the area corresponding to the first ventricular septum region, the correction depth is adjusted based on the preset second adjustment depth value until the adjusted correction depth is less than or equal to the depth of the area corresponding to the first ventricular septum region, and the adjusted correction depth is determined as the resection depth of the scalpel. The initial resection depth is corrected to determine the correction depth, including: correcting the initial resection depth according to a preset first adjustment depth value, so that the initial resection depth gradually becomes shallower until the corrected initial resection depth does not contain key cardiac structures, and then the corrected initial resection depth is taken as the correction depth. Based on the clock angle, determining whether the correction depth is greater than the region depth corresponding to the first interventricular septum region range corresponding to the short-axis section of the heart includes: synchronizing the correction depth to the short-axis section of the heart, determining whether the correction depth at the position corresponding to the clock angle of the short-axis section of the heart only covers the region range of the first interventricular septum, that is, determining whether the correction depth is greater than the region depth corresponding to the first interventricular septum region range corresponding to the short-axis section of the heart; if the correction depth is less than or equal to the region depth corresponding to the first interventricular septum region range, then the correction depth is determined to be the resection depth of the scalpel.
2. The method according to claim 1, characterized in that, Acquiring cardiac scan images and determining a three-dimensional model of the heart based on the cardiac scan images includes: Acquire cardiac scan images; the cardiac scan images include three-dimensional images of the myocardium, left ventricular blood flow chamber, aortic valve, and mitral valve; The cardiac scan images are resampled based on the model processing parameters of the cardiac model generation model to determine standardized images; the cardiac model generation model is a pre-trained deep learning model. The model is generated using the heart model, and the myocardial mask, left ventricular blood flow cavity mask, aortic valve mask, and mitral valve mask are determined based on the standardized images. A three-dimensional model of the heart is generated using the moving cube algorithm based on the myocardial mask, the left ventricular blood flow cavity mask, the aortic valve mask, and the mitral valve mask.
3. The method according to claim 1, characterized in that, Determining the clock angle of the scalpel on the short-axis section of the heart includes: A reference point is determined on the short axis section of the heart, and a clock coordinate system is constructed based on the reference point; Based on the clock coordinate system, the range of the first interventricular septum region is extracted from the short-axis section of the heart using medical imaging tools; Determine the geometric centerline of the first interventricular septum region; The clock angle of the scalpel is determined on the short axis section of the heart based on the geometric center line and the reference point.
4. The method according to claim 3, characterized in that, Determining the clock angle of the scalpel on the short-axis section of the heart based on the geometric center line and the reference point includes: The angle between the geometric center line and the baseline corresponding to the reference point is taken as the initial angle; Determine whether the myocardial region corresponding to the initial angle is adjacent to a coronary artery branch and / or valve attachment point; If not, then the initial angle is determined to be the clock angle of the scalpel on the short-axis section of the heart.
5. The method according to claim 1, characterized in that, Also includes: Based on the updated 3D model, extract the cardiac fluid domain model; The cardiac fluid domain model is discretized to determine the discretized grid data corresponding to the cardiac fluid domain model; Determine the model boundary condition data for the cardiac fluid domain model; the model boundary condition data includes inlet boundary condition data, outlet boundary condition data, and wall boundary condition data; Determine the fluid physics model and determine the physical model parameter data of the fluid physics model; Hemodynamic analysis is performed on the updated 3D model using the Navier-Stokes equations, based on the discretized grid data, the model boundary condition data, and the physical model parameter data.
6. A device for determining the myocardial resection area, characterized in that, The myocardial resection area determination device includes: The three-dimensional model determination module is used to acquire cardiac scan images and determine a three-dimensional model of the heart based on the cardiac scan images. The section determination module is used to determine the short-axis section and long-axis section of the heart based on the three-dimensional model of the heart. A clock angle determination module is used to determine the clock angle of the scalpel on the short-axis section of the heart. The resection depth determination module is used to determine the resection depth of the scalpel on the long axis section of the heart based on the clock angle. The model update module is used to perform myocardial resection on the three-dimensional model of the heart using a scalpel model, based on the clock angle and the resection depth. During the resection, Boolean operations are performed on the scalpel model and the three-dimensional model of the heart to determine the updated three-dimensional model and the resection area after myocardial resection, and the resection area is marked on the updated three-dimensional model. Based on the clockwise angle, determining the resection depth of the scalpel on the long-axis section of the heart includes: using medical imaging tools to determine the longitudinal boundary of the target area from the long-axis section of the heart, and extracting the range of the second interventricular septum region from the long-axis section of the heart based on the longitudinal boundary of the target area; determining the center of the target area from the range of the second interventricular septum region based on the clockwise angle, and determining the interventricular septum thickness at the center of the target area; and determining the resection depth of the scalpel based on the interventricular septum thickness. Determining the resection depth of the scalpel based on the interventricular septum thickness includes: determining an initial resection depth based on the interventricular septum thickness and a preset safe retention thickness; determining whether the myocardial region corresponding to the initial resection depth contains critical cardiac structures; if so, correcting the initial resection depth to determine a corrected depth; determining whether the corrected depth is greater than the region depth corresponding to the first interventricular septum region in the short-axis section of the heart based on the clock angle; if the corrected depth is less than or equal to the region depth corresponding to the first interventricular septum region, determining the corrected depth as the resection depth of the scalpel; if the corrected depth is greater than the region depth corresponding to the first interventricular septum region, adjusting the corrected depth based on a preset second adjustment depth value until the adjusted corrected depth is less than or equal to the region depth corresponding to the first interventricular septum region, and determining the adjusted corrected depth as the resection depth of the scalpel. The initial resection depth is corrected to determine the corrected depth, including: correcting the initial resection depth according to a preset first adjustment depth value, so that the initial resection depth gradually becomes shallower until the corrected initial resection depth does not include key cardiac structures, and then taking the corrected initial resection depth as the corrected depth; based on the clock angle, determining whether the corrected depth is greater than the region depth corresponding to the first interventricular septum region range corresponding to the short-axis section of the heart, including: synchronizing the corrected depth to the short-axis section of the heart, determining whether the corrected depth at the position corresponding to the clock angle of the short-axis section of the heart only covers the first interventricular septum region range, that is, determining whether the corrected depth is greater than the region depth corresponding to the first interventricular septum region range corresponding to the short-axis section of the heart; if the corrected depth is less than or equal to the region depth corresponding to the first interventricular septum region range, then the corrected depth is determined to be the resection depth of the scalpel.
7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.