Method, device and equipment for preoperative prognosis evaluation of blood flow directed dense mesh stent based on hemodynamics and storage medium

Abstract

The application discloses a blood flow guiding dense mesh stent preoperative prognosis evaluation method and device based on hemodynamics, equipment and a storage medium, which comprises the following steps: constructing a three-dimensional blood vessel geometric model based on medical image data of a patient, performing hemodynamic simulation, obtaining a jet path in a tumor cavity, virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometric model, obtaining a stent center line of the stent located in the tumor cavity, calculating a jet compliance index for prognosis evaluation based on the jet path in the tumor cavity and the stent center line, constructing a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and performing prognosis evaluation on the preoperative curative effect of the blood flow guiding dense mesh stent according to the comprehensive index, so that the reliability of prognosis prediction is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical image processing, in particular to a blood flow guiding dense mesh stent preoperative prognosis evaluation method and device based on hemodynamics, equipment and storage medium. BACKGROUND

[0002] The blood flow guiding dense mesh stent has become an important treatment method for large or wide-necked aneurysms because it can change the hemodynamic environment in the aneurysm cavity, reduce the intensity of blood flow into the aneurysm, promote thrombosis and ultimately achieve aneurysm occlusion. At present, the implantation of the blood flow guiding dense mesh stent mainly relies on the experience of doctors combined with angiographic images for path selection, and the stent release trajectory is usually guided by the blood vessel center line. However, the blood vessel center line only reflects the geometric axis and does not consider the actual blood flow direction in the aneurysm cavity. Clinical studies have shown that the blood flow into the aneurysm often concentrates in a specific area and forms a high-speed "jet", and the jet path may deviate significantly from the blood vessel center line. If the main axis of the stent does not conform to the jet direction, it is difficult to effectively block the high-energy blood flow into the aneurysm cavity, thereby weakening the blood flow guiding effect and affecting the thrombosis process in the aneurysm. At present, there is still a lack of effective preoperative prognosis evaluation method, which makes it difficult to reliably predict the treatment effect before stent implantation. SUMMARY

[0003] Therefore, the present application provides a blood flow guiding dense mesh stent preoperative prognosis evaluation method and device based on hemodynamics, equipment and storage medium to solve the above technical problems.

[0004] In one aspect, the present application provides a blood flow guiding dense mesh stent preoperative prognosis evaluation method based on hemodynamics, which comprises:

[0005] constructing a three-dimensional blood vessel geometric model containing the parent artery and the aneurysm based on the medical image data of the patient;

[0006] performing hemodynamic simulation based on the three-dimensional blood vessel geometric model to obtain the jet path in the aneurysm cavity, wherein the jet path in the aneurysm cavity represents the spatial main path of the blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold;

[0007] virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometric model to obtain the stent center line of the stent located in the aneurysm cavity;

[0008] calculating a jet compliance index for prognosis evaluation based on the jet path in the aneurysm cavity and the stent center line, wherein the jet compliance index comprises:

[0009] a first jet compliance index, which is the ratio of the stent center line to the jet path in the aneurysm cavity along the line length, for representing the consistency of the jet path and the stent direction;

[0010] a second jet compliance index, which is a comprehensive measure of the minimum distance from each point on the jet path in the aneurysm cavity to the centerline of the stent, used to characterize the degree of deviation of the jet from the main axis of the stent as a whole;

[0011] a third jet compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm cavity and the normal vector of the stent surface, used to characterize the risk of the jet penetrating the stent;

[0012] a jet compliance comprehensive index is constructed based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and a preoperative therapeutic effect of the blood flow guiding mesh stent is prognostically evaluated according to the comprehensive index.

[0013] In one embodiment, the jet compliance comprehensive index satisfies the following:

[0014] ;

[0015] wherein, is the jet compliance comprehensive index, is the first jet compliance index, is the second jet compliance index, is the third jet compliance index, is a normalization function, is a weight coefficient with a value greater than or equal to zero.

[0016] In one embodiment, the blood flow dynamics simulation based on the three-dimensional blood vessel geometric model obtains the jet path in the aneurysm cavity, which includes:

[0017] based on the three-dimensional blood vessel geometric model, blood flow dynamics simulation is performed to obtain a blood flow velocity field;

[0018] based on the blood flow velocity field, a flow rate threshold is set, blood flow with a flow rate higher than the flow rate threshold is defined as a jet, and its spatial trunk path in the aneurysm cavity is generated as the jet path in the aneurysm cavity.

[0019] In one embodiment, the generation of the spatial trunk path of the jet in the aneurysm cavity includes:

[0020] extracting grid cells with a blood flow velocity higher than the flow rate threshold to form a jet grid;

[0021] obtaining all vertices of the jet grid to form a jet domain point cloud;

[0022] based on the jet domain point cloud, three-dimensional surface reconstruction is performed to obtain a jet domain surface;

[0023] the jet domain surface is processed to obtain a jet path composed of ordered three-dimensional coordinate points;

[0024] The jet path in the aneurysm lumen is taken as the jet path in the aneurysm lumen.

[0025] In an embodiment, the hemodynamic simulation employs a computational fluid dynamics method, and the boundary conditions are set based on patient physiological parameters, wherein the physiological parameters include at least one of heart rate, blood pressure, blood flow velocity, or flow rate.

[0026] In an embodiment, the medical image data includes at least one of digital subtraction angiography, CT angiography, or magnetic resonance angiography data.

[0027] In an embodiment, the virtual implantation employs a physical simulation method based on a spring particle model, or a geometric matching method based on a blood vessel centerline fitting.

[0028] In another aspect, the present application provides a device for preoperative prognosis evaluation of blood flow guided dense mesh stent based on hemodynamics, the device comprising:

[0029] a three-dimensional model construction module for constructing a three-dimensional blood vessel geometric model containing a parent artery and an aneurysm based on medical image data of a patient;

[0030] a jet path extraction module for hemodynamic simulation based on the three-dimensional blood vessel geometric model, and extracting a jet path in the aneurysm lumen, wherein the jet path in the aneurysm lumen represents a blood flow spatial trunk path in the aneurysm lumen that is higher than a preset flow velocity threshold;

[0031] a stent virtual implantation module for virtually implanting a blood flow guided dense mesh stent in the three-dimensional blood vessel geometric model, and obtaining a stent centerline of the stent located in the aneurysm lumen;

[0032] an evaluation module for calculating a jet compliance index for prognosis evaluation based on the jet path in the aneurysm lumen and the stent centerline, constructing a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index, and the third jet compliance index, and performing preoperative prognosis evaluation of the blood flow guided dense mesh stent according to the comprehensive index; wherein the jet compliance index includes:

[0033] a first jet compliance index, which is a ratio of the stent centerline to the jet path in the aneurysm lumen along the length of the aneurysm lumen, and is used to represent the consistency of the jet path and the stent orientation;

[0034] a second jet compliance index, which is a comprehensive measure of the nearest distance of each point on the jet path in the aneurysm lumen to the stent centerline, and is used to represent the degree of overall jet deviation from the stent main shaft;

[0035] a third jet compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm lumen and the stent surface normal vector, and is used to represent the risk of jet penetration of the stent.

[0036] In yet another aspect, the present application provides a computer device comprising a memory and a processor, wherein the processor implements the following steps when executing the computer program:

[0037] constructing a three-dimensional blood vessel geometry model containing the parent artery and the aneurysm based on the medical image data of the patient;

[0038] performing hemodynamic simulation based on the three-dimensional blood vessel geometry model to obtain a jet flow path in the aneurysm cavity, wherein the jet flow path in the aneurysm cavity represents a spatial trunk path of blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold;

[0039] virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometry model to obtain a stent centerline of the stent located in the aneurysm cavity;

[0040] calculating a jet flow compliance index for prognosis evaluation based on the jet flow path in the aneurysm cavity and the stent centerline, wherein the jet flow compliance index comprises:

[0041] a first jet flow compliance index, which is a ratio of the stent centerline to the jet flow path in the aneurysm cavity along the line length, for representing the consistency of the jet flow path and the stent orientation;

[0042] a second jet flow compliance index, which is a comprehensive measure of the closest distance of each point on the jet flow path in the aneurysm cavity to the stent centerline, for representing the degree of the jet flow as a whole deviating from the stent main shaft;

[0043] a third jet flow compliance index, which is a function value of the included angle between the local jet flow velocity vector in the aneurysm cavity and the stent surface normal vector, for representing the risk of the jet flow penetrating the stent;

[0044] constructing a jet flow compliance comprehensive index based on the first jet flow compliance index, the second jet flow compliance index and the third jet flow compliance index, and performing preoperative efficacy prognosis evaluation of the blood flow guiding dense mesh stent according to the comprehensive index.

[0045] In yet another aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the following steps:

[0046] constructing a three-dimensional blood vessel geometry model containing the parent artery and the aneurysm based on the medical image data of the patient;

[0047] performing hemodynamic simulation based on the three-dimensional blood vessel geometry model to obtain a jet flow path in the aneurysm cavity, wherein the jet flow path in the aneurysm cavity represents a spatial trunk path of blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold;

[0048] virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometry model to obtain a stent centerline of the stent located in the aneurysm cavity;

[0049] Based on the jet path in the aneurysm cavity and the stent centerline, a jet compliance index for prognosis evaluation is calculated, wherein the jet compliance index comprises:

[0050] A first jet compliance index, which is the ratio of the stent centerline and the jet path in the aneurysm cavity along the line length, is used to characterize the consistency of the jet path and the stent direction;

[0051] A second jet compliance index, which is a comprehensive measure of the nearest distance of each point on the jet path in the aneurysm cavity to the stent centerline, is used to characterize the degree of overall jet deviation from the stent main shaft;

[0052] A third jet compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm cavity and the stent surface normal vector, is used to characterize the risk of the jet penetrating the stent;

[0053] Based on the first jet compliance index, the second jet compliance index and the third jet compliance index, a jet compliance comprehensive index is constructed, and the preoperative efficacy of the blood flow guiding dense mesh stent is evaluated according to the comprehensive index.

[0054] Compared with the prior art, the present application is based on hemodynamic simulation analysis, and a multi-dimensional evaluation system comprising a first jet compliance index representing the consistency of the stent and the jet direction, a second jet compliance index representing the degree of overall jet deviation from the stent main shaft, and a third jet compliance index representing the risk of local jet penetrating the stent is constructed, and is fused into a jet compliance comprehensive index, which realizes precise and interpretable prognosis evaluation of the preoperative efficacy of the blood flow guiding dense mesh stent. The present application not only breaks through the limitation of traditional methods which only rely on the geometric centerline of the blood vessel or a single blood flow parameter, but also comprehensively quantifies the stent guiding ability of the jet into the aneurysm from three key aspects of direction matching, spatial proximity and local dynamics interaction, which significantly improves the reliability of prognosis prediction. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 It is a flowchart of the preoperative prognosis evaluation method of the blood flow guiding dense mesh stent based on hemodynamics in one embodiment.

[0056] Figure 2 It is a jet path diagram in one embodiment.

[0057] Figure 3 It is a stent virtual implantation diagram in one embodiment.

[0058] Figure 4 It is a jet compliance evaluation diagram in one embodiment. DETAILED DESCRIPTION

[0059] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0060] like Figure 1 As shown, an embodiment of the present invention provides a preoperative prognostic assessment method for a hemodynamically based blood flow guiding mesh stent, comprising the following steps:

[0061] Step S100: Construct a three-dimensional vascular geometric model containing the tumor-bearing artery and aneurysm based on the patient's medical imaging data.

[0062] In step S100, vascular structures are automatically extracted from the patient's CTA (CT angiography), MRA (magnetic resonance angiography), or DSA (digital subtraction angiography) images, a three-dimensional geometric model including the tumor-bearing artery and aneurysm is reconstructed, and a mesh model that can be used for hemodynamic calculation is generated, laying the foundation for subsequent hemodynamic simulation.

[0063] Step S200 involves performing hemodynamic simulation based on a three-dimensional vascular geometry model to obtain the jet path within the aneurysm cavity. This jet path represents the main spatial path of blood flow within the aneurysm cavity that exceeds a preset velocity threshold. Step S200 specifically includes the following sub-steps:

[0064] Step S210: Based on the mesh model generated from the 3D geometric model, computational fluid dynamics (CFD) boundary conditions are established to solve the blood flow velocity field and obtain blood flow streamline information. Specifically, the hemodynamic simulation uses computational fluid dynamics methods, and the boundary conditions are set based on the patient's physiological parameters, which include at least one of heart rate, blood pressure, blood flow velocity, or flow rate. The computational methods for hemodynamics are not limited to traditional simulation techniques such as the finite element method and the finite volume method, but also include deep learning algorithms.

[0065] Step S220: Based on the blood flow velocity field, a flow velocity threshold is set, and blood flow with a flow velocity higher than the flow velocity threshold is defined as a jet. Its spatial main path is generated as the jet path, wherein the jet path is a continuous path and is divided into a first jet path in the proximal blood vessel of the aneurysm cavity, a second jet path in the aneurysm cavity, and a third jet path in the distal blood vessel of the aneurysm cavity according to its anatomical position in the blood vessel. Thus, the jet path in the aneurysm cavity, namely the second jet path, is obtained.

[0066] In step S220, the three-dimensional vascular geometric model is divided as follows: Figure 2 The tumor cavity is shown as consisting of three parts: the proximal vessel, the tumor cavity itself, and the distal vessel. The jet paths within these three parts correspond to the first, second, and third jet paths, respectively. Step S220 specifically includes the following sub-steps:

[0067] Step S221, set a flow rate threshold based on the blood flow velocity field, and define the blood flow with a flow rate higher than the flow rate threshold as a jet. Wherein, the flow rate threshold can be obtained by setting a custom percentage multiplied by the maximum speed value in the flow field, or it can be directly customized as an absolute value of flow rate. For example, the flow rate threshold can be set to 70% of the maximum speed in the flow field.

[0068] Step S222, generate a jet space main path as a jet path, and obtain the jet path in the tumor cavity, i.e., the second jet path. This step specifically includes: first extracting the grid cells with a blood flow velocity higher than the flow rate threshold to form a jet grid. Then, all vertices of the jet grid are obtained to form a jet domain point cloud. Further, three-dimensional surface reconstruction is performed based on the jet domain point cloud to obtain a jet domain surface. The three-dimensional surface reconstruction can be performed by reconstructing the surface of the jet domain point cloud, or by mapping the coordinates of the jet domain point cloud back to the corresponding voxels in the original medical image, marking the voxels as jet voxels, and then reconstructing the jet domain surface using the marching cubes algorithm. Finally, the jet domain surface is processed to obtain a jet path composed of ordered three-dimensional coordinate points.

[0069] Specifically, this step uses a flow rate threshold to extract grids with a velocity value higher than the flow rate threshold, which are defined as jet grids. The space wrapped by the jet grids is defined as a jet domain. The vertices of all jet grids are extracted to obtain a jet domain point cloud. Three-dimensional reconstruction is performed on the jet domain point cloud to obtain a surface representing the jet domain. The jet domain surface is refined, skeletonized, or centerline extracted to obtain a jet path. The jet path is an ordered three-dimensional coordinate vector set:

[0070] .

[0071] Wherein, .

[0072] The first jet path in the jet path can be represented as:

[0073] .

[0074] The second jet path in the jet path, i.e., the jet path in the tumor cavity, can be represented as:

[0075] .

[0076] The third jet path in the jet path can be represented as:

[0077] .

[0078] Step S300, virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometry model to obtain a stent centerline of the stent located in the aneurysm cavity. Specifically, through existing stent virtual implantation technologies, including geometry-based virtual implantation technology and spring particle model-based virtual implantation technology, the stent is quickly virtually implanted and the implantation result is visualized, as shown in FIG. 2, to obtain the stent centerline of the stent located in the aneurysm cavity. Figure 3

[0079] Step S400, based on the jet path in the aneurysm cavity and the stent centerline, calculating a jet compliance index for prognosis evaluation, constructing a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and according to the comprehensive index, performing prognosis evaluation on the preoperative curative effect of the blood flow guiding dense mesh stent, wherein the jet compliance index includes: the first jet compliance index, which is the ratio of the stent centerline to the jet path in the aneurysm cavity along the line length in the aneurysm cavity, used to represent the consistency of the jet path and the stent direction; the second jet compliance index, which is a comprehensive measure of the nearest distance of each point on the jet path in the aneurysm cavity to the stent centerline, used to represent the degree of overall jet deviation from the stent main shaft; and the third jet compliance index, which is the function value of the angle between the local jet velocity vector in the aneurysm cavity and the stent surface normal vector, used to represent the risk of jet penetration of the stent.

[0080] In step S400, the jet compliance comprehensive index satisfies the following:

[0081] ;

[0082] wherein, is the jet compliance comprehensive index, which can be directly used for prognosis evaluation, or as part of the machine learning input features, combined with other features (such as clinical baseline features, stent geometric features, blood vessel anatomical features, other blood flow dynamic features, etc.) for artificial intelligence prediction. is the first jet compliance index. is the second jet compliance index. is the third jet compliance index. is a normalization function (such as Sigmoid or Min-Max normalization) for converting indicators of different dimensions to a unified scale. is a weight coefficient greater than or equal to zero, determined by experience or training.

[0083] The first jet compliance index satisfies the following:

[0084] ;

[0085] wherein, is the jet path in the aneurysm cavity, i.e. the second jet path​ the length of the stent center line in the tumor cavity, the length of the stent center line in the tumor cavity. characterizes the consistency of the jet path and the stent direction, when tends to 1, it means that the jet path is similar to the length of the stent main axis direction, that is, the flow direction is basically consistent with the stent direction, and has high compliance; if <1, it means that the jet path deviates from the stent direction, and has low compliance.

[0086] the second jet compliance index satisfies the following:

[0087] ;

[0088] wherein, each point in the jet path in the tumor cavity, i.e., the second jet path , is traversed, the point closest to each point on the stent center line in the tumor cavity, is the distance between and . Specifically, as shown in Figure 4 , all points in the jet path in the tumor cavity, i.e., the second jet path , are traversed, for each point , the closest point on the stent center line in the tumor cavity is found, and the closest distance is recorded. .

[0089] characterizes the degree of deviation of the jet from the stent main axis, which comprehensively considers the deviation degree and the flow line length, and can reflect the overall error energy of the jet deviating from the stent center channel. When is small, it means that the jet highly fits the stent center flow direction; otherwise, it means that the jet penetrates or deviates from the stent surface, and the flow guiding effect is poor.

[0090] the third jet compliance index satisfies the following:

[0091] ;

[0092] wherein, in combination with Figure 4 , is the angle between the jet local velocity vector and the stent surface normal vector . characterizes the risk of the jet penetrating the stent, when Close to 1 indicates that the flow direction is almost perpendicular to the stent surface, and there is a risk of penetration.

[0093] In summary, the embodiment reconstructs the blood vessel and aneurysm model based on preoperative images, obtains the high-speed inflow jet path in the aneurysm cavity through hemodynamic simulation, and constructs jet compliance quantification indexes from three complementary dimensions: the first jet compliance index is defined as the ratio of the length of the stent centerline to the jet path in the aneurysm cavity region, which is used to represent the consistency of the two; the second jet compliance index reflects the degree of the whole jet deviating from the stent main shaft by comprehensively measuring the nearest distance from each point on the jet path in the aneurysm cavity to the stent centerline; and the third jet compliance index quantitatively evaluates the risk of high-energy blood flow penetrating the stent mesh based on the function value of the angle between the local jet velocity vector in the aneurysm cavity and the stent surface normal vector. Further, the above three indexes are weighted and fused into a jet compliance comprehensive index to realize preoperative, interpretable prognosis evaluation of the occlusion effect of blood flow diversion dense stent surgery. Not only does it break through the limitations of traditional methods that rely only on geometric shape or a single blood flow parameter, but it also first quantifies the matching degree of the stent and the jet from three key aspects of path consistency, spatial proximity, and local dynamics interaction, thereby predicting the therapeutic effect preoperatively, assisting in optimizing stent selection and release strategies, and significantly improving the accuracy of surgery and the success rate of treatment.

[0094] It should be understood that, although Figure 1 the steps in the flowchart of FIG. 1 are shown in sequence according to the direction of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated herein, there is no strict order limitation for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 at least part of the steps in FIG. 1 can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or sub-steps or stages of other steps.

[0095] In one embodiment, the present application provides a blood flow diversion dense stent preoperative prognosis evaluation device based on hemodynamics, comprising: a three-dimensional model construction module, a jet path extraction module, a stent virtual implantation module and an evaluation module, wherein:

[0096] The three-dimensional model construction module is used to construct a three-dimensional blood vessel geometric model containing the parent artery and the aneurysm based on the medical image data of the patient.

[0097] The jet path extraction module is configured to extract a jet path in the aneurysm based on the three-dimensional blood vessel geometry model for hemodynamic simulation, where the jet path in the aneurysm represents a blood flow spatial trunk path in the aneurysm that is higher than a preset flow rate threshold.

[0098] The stent virtual implantation module is configured to virtually implant the flow- directed dense mesh stent in the three-dimensional blood vessel geometry model to obtain a stent centerline of the stent located in the aneurysm.

[0099] The evaluation module is configured to calculate a jet compliance index for prognosis evaluation based on the jet path in the aneurysm and the stent centerline, construct a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index, and the third jet compliance index, and perform preoperative efficacy prognosis of the flow-directed dense mesh stent according to the comprehensive index; where the jet compliance index includes: the first jet compliance index, which is a ratio of the stent centerline to the jet path in the aneurysm along the line length in the aneurysm, and is used to represent the consistency of the jet path and the stent orientation; the second jet compliance index, which is a comprehensive measure of the nearest distance of each point on the jet path in the aneurysm to the stent centerline, and is used to represent the degree of overall jet deviation from the stent main shaft; and the third jet compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm and the stent surface normal vector, and is used to represent the risk of jet penetration of the stent.

[0100] The specific limitations of the device for preoperative prognosis evaluation of the flow-directed dense mesh stent based on hemodynamics can be referred to the limitations of the method for preoperative prognosis evaluation of the flow-directed dense mesh stent based on hemodynamics as described above, which will not be repeated here. Each module in the device for preoperative prognosis evaluation of the flow-directed dense mesh stent based on hemodynamics described above can be realized by software, hardware, and combinations thereof, in whole or in part. Each module described above can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0101] In one embodiment, a computer device is provided, which can be a terminal, comprising a processor, a memory, a network interface, a display screen and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement a blood flow guiding dense mesh stent preoperative prognosis evaluation method based on hemodynamics. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0102] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the following steps:

[0103] Step S100, constructing a three-dimensional blood vessel geometric model containing a parent artery and an aneurysm based on medical image data of a patient.

[0104] Step S200, performing hemodynamic simulation based on the three-dimensional blood vessel geometric model to obtain a jet flow path in the aneurysm cavity, wherein the jet flow path in the aneurysm cavity represents a blood flow spatial trunk path in the aneurysm cavity that is higher than a preset flow velocity threshold.

[0105] Step S300, virtually implanting a blood flow guiding dense mesh stent in the three-dimensional blood vessel geometric model to obtain a stent centerline of the stent located in the aneurysm cavity.

[0106] Step S400, calculating a jet flow compliance index for prognosis evaluation based on the jet flow path in the aneurysm cavity and the stent centerline, constructing a jet flow compliance comprehensive index based on the first jet flow compliance index, the second jet flow compliance index and the third jet flow compliance index, and performing preoperative prognosis evaluation of the blood flow guiding dense mesh stent according to the comprehensive index; wherein the jet flow compliance index includes: the first jet flow compliance index, which is the ratio of the stent centerline to the jet flow path in the aneurysm cavity along the line length, used to represent the consistency of the jet flow path and the stent orientation; the second jet flow compliance index, which is a comprehensive measure of the nearest distance of each point on the jet flow path in the aneurysm cavity to the stent centerline, used to represent the degree of overall jet flow deviation from the stent main shaft; and the third jet flow compliance index, which is the function value of the angle between the local jet flow velocity vector in the aneurysm cavity and the stent surface normal vector, used to represent the risk of jet flow penetrating the stent.

[0107] In one embodiment, a computer readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the following steps:

[0108] Step S100, constructing a three-dimensional blood vessel geometric model containing a parent artery and an aneurysm based on medical image data of a patient.

[0109] Step S200, performing hemodynamic simulation based on the three-dimensional blood vessel geometric model to obtain a jet path in the aneurysm cavity, wherein the jet path in the aneurysm cavity represents a spatial trunk path of blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold.

[0110] Step S300, virtually implanting a blood flow guiding dense mesh stent in the three-dimensional blood vessel geometric model to obtain a stent centerline of the stent located in the aneurysm cavity.

[0111] Step S400, calculating a jet compliance index for prognosis evaluation based on the jet path in the aneurysm cavity and the stent centerline, constructing a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and performing preoperative efficacy prognosis of the blood flow guiding dense mesh stent according to the comprehensive index; wherein the jet compliance index includes: the first jet compliance index, which is a ratio of the stent centerline to the jet path in the aneurysm cavity along the line length in the aneurysm cavity, and is used to represent the consistency of the jet path and the stent orientation; the second jet compliance index, which is a comprehensive measure of the nearest distance of each point on the jet path in the aneurysm cavity to the stent centerline, and is used to represent the degree of overall jet deviation from the stent main shaft; and the third jet compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm cavity and the stent surface normal vector, and is used to represent the risk of jet penetration of the stent.

[0112] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware, and the computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0113] Any combination of the technical features of the above embodiments can be made, and in order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0114] The above embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be noted that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for preoperative prognosis of blood flow directed stent grafting based on hemodynamics, characterized in that, The method comprises: constructing a three-dimensional vascular geometric model containing a parent artery and an aneurysm based on medical image data of a patient; performing hemodynamic simulation based on the three-dimensional vascular geometric model to obtain a jet flow path in the aneurysm cavity, wherein the jet flow path in the aneurysm cavity represents a spatial trunk path of blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold; virtually implanting a blood flow guiding dense mesh stent in the three-dimensional vascular geometric model to obtain a stent center line of the stent located in the aneurysm cavity; based on the jet flow path in the aneurysm cavity and the stent center line, calculating a jet flow compliance index for prognosis evaluation, wherein the jet flow compliance index comprises: a first jet flow compliance index, which is a ratio of the stent center line to the jet flow path in the aneurysm cavity along the line length, and is used to represent the consistency of the jet flow path and the stent orientation; a second jet flow compliance index, which is a comprehensive measure of the distance of each point on the jet flow path in the aneurysm cavity to the stent center line, and is used to represent the degree of overall jet flow deviation from the stent main shaft; a third jet flow compliance index, which is a function value of the angle between the local jet velocity vector in the aneurysm cavity and the stent surface normal vector, and is used to represent the risk of jet flow penetrating the stent; constructing a jet flow compliance comprehensive index based on the first, second and third jet flow compliance indexes, and evaluating the preoperative efficacy of the blood flow guiding dense mesh stent according to the comprehensive index.

2. The method of preoperative prognostic assessment of blood flow directed stent grafting based on hemodynamics according to claim 1, characterized in that, The jet flow compliance comprehensive index satisfies the following: ； wherein, is a jet compliance synthesis index, is a first jet compliance index, is a second jet compliance index, is a third jet compliance index, is a normalization function, is a weight coefficient with a numerical value greater than or equal to zero.

3. The method for preoperative prognosis of blood flow directed stent grafting based on hemodynamics according to claim 1, characterized in that, The hemodynamic simulation based on the three-dimensional vascular geometric model to obtain the jet flow path in the aneurysm cavity comprises: performing hemodynamic simulation based on the three-dimensional vascular geometric model to obtain a blood flow velocity field; setting a flow velocity threshold based on the blood flow velocity field, defining blood flow with a flow velocity higher than the flow velocity threshold as a jet flow, and generating its spatial trunk path in the aneurysm cavity as the jet flow path in the aneurysm cavity.

4. The method of preoperative prognostic assessment of a blood flow directed stent graft based on hemodynamics according to claim 3, characterized in that, The generation of the spatial trunk path in the aneurysm cavity as the jet flow path in the aneurysm cavity comprises: extracting grid cells with a blood flow velocity higher than the flow velocity threshold to form a jet flow grid; obtaining all vertices of the jet flow grid to form a jet flow domain point cloud; performing three-dimensional surface reconstruction based on the jet flow domain point cloud to obtain a jet flow domain surface; processing the jet flow domain surface to obtain a jet flow path composed of ordered three-dimensional coordinate points; taking the jet flow path in the aneurysm cavity as the jet flow path in the aneurysm cavity.

5. The method for preoperative prognosis of blood flow directed stent grafting based on hemodynamics according to claim 3, characterized in that, The hemodynamic simulation adopts a computational fluid dynamics method, and the boundary conditions are set based on patient physiological parameters, wherein the physiological parameters include at least one of heart rate, blood pressure, blood flow velocity or flow rate.

6. The method of preoperative prognosis of blood flow directed stent grafting based on hemodynamics according to claim 1, characterized in that, The medical image data includes at least one of digital subtraction angiography, CT angiography or magnetic resonance angiography data.

7. The method of preoperative prognosis of blood flow directed stent grafting based on hemodynamics according to claim 1, characterized in that, The virtual implantation adopts a physical simulation method based on a spring particle model, or a geometric matching method based on vascular center line fitting.

8. A device for preoperative prognosis of blood flow directed stent grafting based on hemodynamics, characterized in that, The device comprises: a three-dimensional model construction module for constructing a three-dimensional vascular geometric model containing a parent artery and an aneurysm based on medical image data of a patient; a jet flow path extraction module for performing hemodynamic simulation based on the three-dimensional vascular geometric model to extract a jet flow path in the aneurysm cavity, wherein the jet flow path in the aneurysm cavity represents a spatial trunk path of blood flow in the aneurysm cavity that is higher than a preset flow velocity threshold; The stent virtual implantation module is configured to virtually implant a blood flow guiding dense mesh stent in a three-dimensional vascular geometry model to obtain a stent centerline of the stent located in a tumor cavity; The evaluation module is configured to calculate a jet compliance index for prognosis evaluation based on the jet path in the tumor cavity and the stent centerline, construct a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and perform preoperative efficacy prognosis of the blood flow guiding dense mesh stent according to the comprehensive index; wherein the jet compliance index comprises: The first jet compliance index is a ratio of the stent centerline to the jet path in the tumor cavity along the line length in the tumor cavity, and is used to represent the consistency of the jet path and the stent trend; The second jet compliance index is a comprehensive measure of the nearest distance of each point on the jet path in the tumor cavity to the stent centerline, and is used to represent the degree of overall jet deviation from the stent main shaft; The third jet compliance index is a function value of the angle between the local jet velocity vector in the tumor cavity and the stent surface normal vector, and is used to represent the risk of jet penetrating the stent. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 7.

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