Artificial blood vessel detection system and method for cardiovascular surgery

Abstract

The invention relates to the technical field of cardiovascular surgery, and discloses an artificial blood vessel detection method for cardiovascular surgery, and the method comprises the steps: carrying out the edge detection and image segmentation of a multi-angle blood vessel image of an artificial blood vessel, obtaining a target blood vessel image, recognizing the blood vessel feature point pair of the target blood vessel image, and constructing a three-dimensional model of the artificial blood vessel. According to the three-dimensional model, key features of the artificial blood vessel are extracted for finite element analysis, so that the physical performance of the artificial blood vessel is recognized, the blood vessel material of the artificial blood vessel is extracted, chemical performance detection is conducted, the functional performance of the artificial blood vessel in actual use is analyzed, and the long-term stability of the artificial blood vessel is evaluated. And detecting the artificial blood vessel by combining a finite element analysis result, the three-dimensional model and long-term stability to obtain a detection result. The accuracy of an artificial blood vessel detection result can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cardiovascular surgery, and particularly to an artificial blood vessel detection system and method for cardiovascular surgery. Background Art

[0002] An artificial blood vessel refers to a blood vessel made of nylon, polytetrafluoroethylene, polyester, etc. through artificial manufacturing. In the treatment of some diseases in cardiovascular surgery, artificial blood vessels are needed for adjuvant treatment. For example, in aortic aneurysm repair surgery, an artificial blood vessel is used to replace the diseased segment of the aorta to reduce the risk of rupture. With the progress of minimally invasive technology and "hybrid" surgical techniques, the requirements for cardiovascular surgery are getting higher and higher. The success of cardiovascular surgery not only depends on the operation of the surgery itself, but also on the functional state of the artificial blood vessel. Therefore, it is necessary to detect the artificial blood vessel.

[0003] In the prior art, the detection of artificial blood vessels for cardiovascular surgery mainly uses ultrasonic examination. Although this method can provide relatively detailed blood vessel information, it is sometimes difficult to accurately identify complex blood vessel structures. For example, in the detection of the aortic arch and its branch vessels, due to the limited angle and position of the ultrasonic probe, it is difficult to comprehensively observe the structures of the aortic arch and its branches from multiple angles, resulting in insufficient accuracy of artificial blood vessel detection. Summary of the Invention

[0004] The present invention provides an artificial blood vessel detection system and method for cardiovascular surgery, and its main purpose is to improve the accuracy of the artificial blood vessel detection result.

[0005] To achieve the above object, an artificial blood vessel detection system for cardiovascular surgery provided by the present invention includes: an image acquisition module, a model construction module, a finite element analysis module, a performance detection module, and a result output module;

[0006] The image acquisition module is used to obtain the artificial blood vessel to be detected, collect multi-angle blood vessel images of the artificial blood vessel, perform edge detection on the multi-angle blood vessel images to obtain a blood vessel edge image, mark the blood vessel boundary of the blood vessel edge image, and perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image;

[0007] The model construction module is used to identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel images, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and construct a three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates;

[0008] The finite element analysis module is used to identify the vascular structure of the artificial blood vessel according to the three-dimensional model, extract the key features of the artificial blood vessel from the three-dimensional model based on the vascular structure, perform finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result, and identify the physical properties of the artificial blood vessel based on the finite element analysis result;

[0009] The performance detection module is used to extract the vascular material of the artificial blood vessel based on the physical properties, perform chemical performance detection on the vascular material to obtain a chemical performance detection result, analyze the functional performance of the artificial blood vessel in actual use according to the chemical performance detection result and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance;

[0010] The result output module is used to detect the artificial blood vessel by combining the finite element analysis result, the three-dimensional model and the long-term stability to obtain a detection result.

[0011] Optionally, the identification of the vascular feature point pairs of the target vascular image includes:

[0012] Extracting the vascular feature points of the target vascular image;

[0013] Performing feature description on the vascular feature points to obtain feature descriptors;

[0014] Performing feature point matching on the vascular feature points based on the feature descriptors to obtain matching feature point pairs;

[0015] Performing error screening processing on the matching feature point pairs to obtain vascular feature point pairs.

[0016] Optionally, the calculation of the three-dimensional feature point coordinates of the artificial blood vessel according to the vascular feature point pairs and the camera parameters includes:

[0017] Scheduling multi-angle vascular images of the vascular feature point pairs, and performing image correction on the multi-angle vascular images based on the camera parameters to obtain corrected images;

[0018] Identifying the corrected point pairs of the vascular feature point pairs according to the corrected images, and calculating the feature descriptors of the corrected point pairs;

[0019] Constructing a camera projection matrix of the corrected image based on the camera parameters;

[0020] Combining the feature point coordinates and the camera projection matrix to construct a coordinate equation of the vascular feature points in the corrected image;

[0021] Determine the three-dimensional characteristic point coordinates of the artificial blood vessel according to the coordinate equation.

[0022] Optionally, constructing the three-dimensional model of the artificial blood vessel based on the three-dimensional characteristic point coordinates includes:

[0023] Construct a three-dimensional grid of the artificial blood vessel based on the three-dimensional characteristic point coordinates;

[0024] Create the surface structure of the artificial blood vessel according to the three-dimensional grid;

[0025] Smooth the surface structure to obtain a smooth surface;

[0026] Schedule the original image of the artificial blood vessel based on the three-dimensional characteristic point coordinates;

[0027] Extract the texture information of the artificial blood vessel based on the original image;

[0028] Map the texture information to the smooth surface to obtain the three-dimensional model of the artificial blood vessel.

[0029] Optionally, extracting the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure includes:

[0030] Identify the tubular structure of the blood vessel structure;

[0031] Extract the blood vessel features of the artificial blood vessel in the three-dimensional model according to the tubular structure;

[0032] Analyze the shape effect of the artificial blood vessel based on the blood vessel features;

[0033] Extract the key features of the artificial blood vessel from the three-dimensional model according to the shape effect.

[0034] Optionally, performing finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result includes:

[0035] Perform mesh division on the three-dimensional model to obtain mesh elements;

[0036] Set the material properties of the mesh elements according to the key features;

[0037] Analyze the actual mechanical environment of the artificial blood vessel in the human body;

[0038] Set the boundary conditions and load factors of the mesh elements based on the actual mechanical environment;

[0039] Construct the nodal displacement matrix of the artificial blood vessel according to the boundary conditions and the load factors;

[0040] Based on the node displacement matrix, perform finite element analysis on the artificial blood vessel to obtain the finite element analysis results.

[0041] Optionally, based on the finite element analysis results, identify the physical properties of the artificial blood vessel, including:

[0042] Based on the finite element analysis results, calculate the stress distribution and strain conditions of the artificial blood vessel under simulated blood flow conditions;

[0043] Analyze the flexibility of the artificial blood vessel under physiological conditions;

[0044] Conduct repeated puncture tests on the artificial blood vessel to obtain the puncture performance;

[0045] Combining the stress distribution, the strain conditions, the flexibility, and the puncture performance, identify the physical properties of the artificial blood vessel.

[0046] Optionally, perform chemical property detection on the blood vessel material to obtain the chemical property detection results, including:

[0047] Analyze the stable state of the blood vessel material in different chemical environments;

[0048] Identify the degradable elements of the blood vessel material and calculate the degradation rate of the degradable elements;

[0049] Based on the degradation rate, analyze the harmful substances of the blood vessel material;

[0050] Analyze the interaction between the blood vessel material and human biomolecules;

[0051] Combining the harmful substances and the interaction, identify the safety effect of the blood vessel material;

[0052] Based on the stable state and the safety effect, perform chemical property detection on the blood vessel material to obtain the chemical property detection results.

[0053] Optionally, based on the functional performance, evaluate the long-term stability of the artificial blood vessel, including:

[0054] Based on the functional performance, set the test carrier of the artificial blood vessel;

[0055] Analyze the short-term effects and long-term impacts of the artificial blood vessel on the test carrier;

[0056] Based on the short-term effects, identify the tissue reaction of the artificial blood vessel;

[0057] Based on the long-term impacts, analyze the restenosis degree of the artificial blood vessel;

[0058] Analyze the patency of the artificial blood vessel;

[0059] Evaluate the long-term stability of the artificial blood vessel by combining the tissue reaction, the degree of restenosis, and the patency of the blood vessel.

[0060] A method for detecting an artificial blood vessel used in cardiovascular surgery, characterized in that the method includes:

[0061] Obtain the artificial blood vessel to be detected, collect multi-angle blood vessel images of the artificial blood vessel, perform edge detection on the multi-angle blood vessel images to obtain a blood vessel edge image, mark the blood vessel boundary of the blood vessel edge image, and perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image;

[0062] Identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel images, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and construct a three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates;

[0063] According to the three-dimensional model, identify the blood vessel structure of the artificial blood vessel, extract the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure, perform finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result, and identify the physical properties of the artificial blood vessel based on the finite element analysis result;

[0064] Based on the physical properties, extract the blood vessel material of the artificial blood vessel, perform chemical property detection on the blood vessel material to obtain a chemical property detection result, analyze the functional performance of the artificial blood vessel in actual use according to the chemical property detection result and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance;

[0065] Detect the artificial blood vessel by combining the finite element analysis result, the three-dimensional model, and the long-term stability to obtain a detection result.

[0066] The embodiment of the present invention can obtain the appearance features and structural information of the artificial blood vessel at different viewing angles by acquiring the artificial blood vessel to be detected and collecting multi-angle blood vessel images of the artificial blood vessel, thereby providing sufficient data support for subsequent analysis and processing, and segmenting the blood vessel boundary from the background according to the edge detection result, so as to clearly distinguish the blood vessel structure from the surrounding tissue and obtain the target blood vessel image; secondly, the embodiment of the present invention can align multiple images by identifying the blood vessel feature point pairs of the target blood vessel image, so that the same anatomical structure corresponds one to one in the spatial coordinate position, thereby reconstructing the three-dimensional structure of the blood vessel, so as to accurately simulate and understand the spatial structure of the blood vessel and improve the detection accuracy of the artificial blood vessel; further, the embodiment of the present invention can help simulate the flow of blood in the blood vessel and perform biomechanical analysis on the blood vessel by identifying the blood vessel structure of the artificial blood vessel according to the three-dimensional model, so as to help medical personnel better understand the complexity of the vascular system, and identify the physical properties of the artificial blood vessel based on the finite element analysis results, so as to help evaluate the performance of different materials of the artificial blood vessel under the same conditions, and help optimize the geometric shape and structure of the artificial blood vessel to ensure that it has the best performance when subjected to various mechanical loads; First, the embodiment of the present invention can comprehensively evaluate the safety, effectiveness and durability of the artificial blood vessel in actual use by analyzing the functional performance of the artificial blood vessel in actual use according to the chemical property test results and the physical properties, and help identify the safety effect of the artificial blood vessel material. The functional performance refers to the various properties and characteristics exhibited by the artificial blood vessel in actual clinical applications, so as to evaluate the compatibility of the artificial blood vessel with human tissues during long-term use and the functionality during long-term use, and predict its service life, so as to ensure the safety and effectiveness of the artificial blood vessel in clinical applications; finally, in combination with the finite element analysis results, the three-dimensional model and the long-term stability, the artificial blood vessel is tested to obtain the test results, and the various mechanical conditions that the blood vessel may encounter in the body can be simulated by finite element analysis, so as to evaluate the mechanical properties and durability of the artificial blood vessel, predict the stability of the blood vessel in long-term use and possible failure modes, and use three-dimensional modeling technology to create an artificial blood vessel model that is highly matched with the patient's anatomical structure, predict the behavior of the blood vessel after implantation, and evaluate the compatibility with surrounding tissues. Combined with the long-term stability evaluation of the artificial blood vessel in the simulated body, the accuracy of the artificial blood vessel test results can be significantly improved. Therefore, the artificial blood vessel detection method for cardiovascular surgery provided in the embodiment of the present invention can improve the accuracy of artificial blood vessel detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A functional module diagram of an artificial blood vessel detection system for cardiovascular surgery provided by one embodiment of the present invention;

[0068] Figure 2Schematic flowchart of a method for detecting an artificial blood vessel for cardiovascular surgery provided by an embodiment of the present invention.

[0069] The realization, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0070] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0071] In fact, the server device deployed by the artificial blood vessel detection system for cardiovascular surgery may be composed of one or more devices. The above-mentioned artificial blood vessel detection system for cardiovascular surgery can be implemented as: a service instance, a virtual machine, or a hardware device. For example, the artificial blood vessel detection system for cardiovascular surgery can be implemented as a service instance deployed on one or more devices in a cloud node. Briefly speaking, the live broadcast service system can be understood as a software deployed on a cloud node for providing services for detecting artificial blood vessels for cardiovascular surgery to each client. Alternatively, the artificial blood vessel detection system for cardiovascular surgery can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Alternatively, the artificial blood vessel detection system for cardiovascular surgery can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide services for detecting artificial blood vessels for cardiovascular surgery to each client.

[0072] In terms of implementation form, the artificial blood vessel detection system for cardiovascular surgery and the client adapt to each other. That is, if the artificial blood vessel detection system for cardiovascular surgery is an application installed on a cloud service platform, the client is a client that establishes a communication connection with the application; or if the artificial blood vessel detection system for cardiovascular surgery is implemented as a website, the client is implemented as a web page; or if the artificial blood vessel detection system for cardiovascular surgery is implemented as a cloud service platform, the client is implemented as a small program in an instant messaging application.

[0073] Refer to Figure 1 As shown, it is a functional module diagram of an artificial blood vessel detection system for cardiovascular surgery provided by an embodiment of the present invention.

[0074] The artificial blood vessel detection system 100 for cardiovascular surgery according to the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as a server for artificial blood vessel detection in cardiovascular surgery, a server cluster, etc.), or can also be developed into a website. According to the functions achieved, the artificial blood vessel detection system 100 for cardiovascular surgery includes an image acquisition module 101, a model construction module 102, a finite element analysis module 103, a performance detection module 104, and a result output module 105.

[0075] In the embodiment of the present invention, in the tracking of the artificial blood vessel detection for cardiovascular surgery, each of the above modules can be independently implemented and called with other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. In the artificial blood vessel detection system for cardiovascular surgery provided by the embodiment of the present invention, without modifying the program code, the applicable range of the artificial blood vessel detection architecture for cardiovascular surgery can be adjusted by adding modules and directly calling, so as to achieve cluster - type horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the artificial blood vessel detection system for cardiovascular surgery. In practical applications, the above modules can be set in the same device or different devices, or can also be set in virtual devices, such as service instances in a cloud server.

[0076] Next, specific embodiments will be combined to illustrate each component and the specific working process of the artificial blood vessel detection system for cardiovascular surgery respectively.

[0077] The image acquisition module 101 is used to obtain the artificial blood vessel to be detected, collect multi - angle blood vessel images of the artificial blood vessel, perform edge detection on the multi - angle blood vessel images to obtain a blood vessel edge image, mark the blood vessel boundary of the blood vessel edge image, and perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image.

[0078] In the embodiment of the present invention, by obtaining the artificial blood vessel to be detected and collecting multi - angle blood vessel images of the artificial blood vessel, the appearance features and structural information of the artificial blood vessel from different perspectives can be obtained, providing sufficient data support for subsequent analysis and processing. The multi - angle blood vessel images refer to the external feature and structural detail images of the artificial blood vessel to be detected collected from different angles.

[0079] Optionally, the acquisition of the multi - angle blood vessel images of the artificial blood vessel can be obtained through medical image processing software, such as VolumeShop software.

[0080] Furthermore, in the embodiment of the present invention, by performing edge detection on the multi-angle blood vessel images, a blood vessel edge image can be obtained, which can highlight the blood vessel edge information in the images and provide a basis for subsequent image segmentation and feature extraction. The blood vessel edge image refers to an image of the blood vessel boundary detected by image processing techniques.

[0081] Optionally, the edge detection of the multi-angle blood vessel images can be implemented using the Canny edge detection algorithm.

[0082] In the embodiment of the present invention, by marking the blood vessel boundaries of the blood vessel edge image and performing image segmentation processing on the blood vessel boundaries and the blood vessel edge image, a target blood vessel image can be obtained. According to the results of edge detection, the blood vessel boundaries can be separated from the background, thereby clearly distinguishing the blood vessel structure and the surrounding tissues. The blood vessel boundary refers to the dividing line between the blood vessel and the surrounding tissues or background identified by image processing techniques. The target blood vessel image refers to the image obtained after separating the blood vessel from the background and only containing the blood vessel structure.

[0083] Optionally, the marking of the blood vessel boundaries of the blood vessel edge image can be achieved by increasing the gray value, and the image segmentation processing of the blood vessel boundaries and the blood vessel edge image can be obtained through the region growing algorithm.

[0084] The model construction module 102 is used to identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel images, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and construct the three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates.

[0085] In the embodiment of the present invention, by identifying the blood vessel feature point pairs of the target blood vessel image, multiple images can be aligned so that the same anatomical structures correspond one by one in the spatial coordinate positions, thereby reconstructing the three-dimensional structure of the blood vessel. The blood vessel corresponding feature point pairs refer to the same blood vessel feature points successfully matched in multiple blood vessel images.

[0086] As an embodiment of the present invention, the identification of the blood vessel feature point pairs of the target blood vessel image includes: extracting the blood vessel feature points of the target blood vessel image; performing feature description on the blood vessel feature points to obtain feature descriptors; performing feature point matching on the blood vessel feature points based on the feature descriptors to obtain matching feature point pairs; and performing error screening processing on the matching feature point pairs to obtain blood vessel feature point pairs.

[0087] Among them, the vascular feature points refer to significant anatomical landmarks such as bifurcation points, intersection points, and bending points of blood vessels; the feature descriptors refer to a set of numerical values that can uniquely represent the local features of the feature points; and the feature point pairs refer to a set of matching point pairs found between two or more images through a feature point matching algorithm.

[0088] Optionally, the extraction of vascular feature points of the target vascular image can utilize a feature point detection method focusing on lines and curves, such as the line detection method based on the Hough transform. The feature description of the vascular feature points can be determined by the SIFT descriptor. Based on the feature descriptor, the feature point matching of the vascular feature points can be realized by using a distance-based matching method, such as the Euclidean distance matching method.

[0089] Furthermore, in the embodiments of the present invention, by querying the camera parameters of the multi-angle vascular images, the three-dimensional point cloud of the scene can be recovered from the images of multiple perspectives to improve the reliability of the three-dimensional reconstruction result of the artificial blood vessel. The camera parameters refer to the parameters describing the imaging characteristics and positions of the camera, including the internal parameter matrix, the external parameter matrix, and the distortion parameters.

[0090] Optionally, the query of the camera parameters of the multi-angle vascular images can be realized by using the OpenCV calibration toolbox.

[0091] In the embodiments of the present invention, by calculating the three-dimensional feature point coordinates of the artificial blood vessel according to the vascular feature point pairs and the camera parameters, the feature points in the two-dimensional image can be converted into points in the three-dimensional space, thereby realizing the three-dimensional visualization of the vascular structure to analyze the spatial distribution and mutual relationship of blood vessels. The three-dimensional feature point coordinates refer to the positions of each vascular feature point in the three-dimensional space.

[0092] As an embodiment of the present invention, the calculation of the three-dimensional feature point coordinates of the artificial blood vessel according to the vascular feature point pairs and the camera parameters includes: scheduling the multi-angle vascular images of the vascular feature point pairs, and based on the camera parameters, performing image correction on the multi-angle vascular images to obtain corrected images; according to the corrected images, identifying the corrected point pairs of the vascular feature point pairs, and calculating the feature descriptors of the corrected point pairs; based on the camera parameters, constructing the camera projection matrix of the corrected images; combining the feature point coordinates and the camera projection matrix, constructing the coordinate equation of the vascular feature points in the corrected images; and according to the coordinate equation, determining the three-dimensional feature point coordinates of the artificial blood vessel.

[0093] Among them, the corrected image refers to the image after image correction processing, the corrected point pair refers to the point pair identified in the corrected image corresponding to the same physical feature point, the feature point coordinates refer to the position coordinates of the feature points identified in the image, the camera projection matrix refers to the mathematical model of how points in three-dimensional space are projected onto a two-dimensional image plane through the internal and external parameters of the camera, and the coordinate equation refers to the mathematical expression for describing the positions of vascular feature points in three-dimensional space and their projection relationships in the corrected image.

[0094] Optionally, the image correction of the multi-angle vascular images based on the distortion parameters can be achieved by using Gaussian filtering. The construction of the camera projection matrix of the corrected image based on the distortion parameters and the internal parameter matrix can be obtained through the internal parameter matrix and the external parameter matrix of the camera. The construction of the coordinate equation of the vascular feature points in the corrected image by combining the feature point coordinates and the camera projection matrix can be achieved by using the triangulation algorithm.

[0095] In an optional embodiment of the present invention, the feature descriptor of the corrected point pair is calculated using the following formula:

[0096]

[0097] Among them, F represents the feature descriptor of the corrected point pair, N represents the size of the area around the corrected point pair, e represents the row index within the area around the corrected point pair, q represents the column index within the area around the corrected point pair, and grad(e,q) represents the gradient value of the pixel at the e-th row and q-th column within the area around the corrected point pair.

[0098] Furthermore, in the embodiment of the present invention, by constructing the three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates, the spatial structure of the blood vessel can be more accurately simulated and understood, and the detection accuracy of the artificial blood vessel can be improved. The three-dimensional model refers to the digital representation of the three-dimensional geometric shape and structural characteristics of the artificial blood vessel.

[0099] As an embodiment of the present invention, constructing the three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates includes: constructing the three-dimensional mesh of the artificial blood vessel based on the three-dimensional feature point coordinates; creating the surface structure of the artificial blood vessel according to the three-dimensional mesh; performing smoothing processing on the surface structure to obtain a smooth surface; scheduling the original image of the artificial blood vessel based on the three-dimensional feature point coordinates; extracting the texture information of the artificial blood vessel based on the original image; and mapping the texture information onto the smooth surface to obtain the three-dimensional model of the artificial blood vessel.

[0100] Among them, the three-dimensional grid refers to a grid composed of three-dimensional feature point coordinates, the surface structure refers to the shape and structure of the blood vessel surface generated based on the three-dimensional grid, the smooth surface refers to the blood vessel surface structure after smoothing processing, the original image refers to the unprocessed original medical imaging data, such as images obtained by CT and MRI scans, and the texture information refers to the color, texture, and other visual features extracted from the original image.

[0101] Optionally, based on the three-dimensional feature point coordinates, the construction of the three-dimensional grid of the artificial blood vessel can be realized by using the 3D Slicer medical imaging processing platform. Based on the three-dimensional grid, the creation of the surface structure of the artificial blood vessel can be obtained through the Blender3D modeling software. Mapping the texture information to the smooth surface can be realized by using Mimics software.

[0102] The finite element analysis module 103 is used to identify the blood vessel structure of the artificial blood vessel according to the three-dimensional model, extract the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure, perform finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result, and identify the physical properties of the artificial blood vessel based on the finite element analysis result.

[0103] In the embodiment of the present invention, by identifying the blood vessel structure of the artificial blood vessel according to the three-dimensional model, it helps to simulate the blood flow in the blood vessel and perform biomechanical analysis on the blood vessel, assisting medical personnel to better understand the complexity of the blood vessel system. The blood vessel structure refers to the anatomical features and geometric forms that make up the blood vessel system.

[0104] Optionally, based on the three-dimensional model, the identification of the blood vessel structure of the artificial blood vessel can be extracted from image data such as CT, MRI, and angiography through three-dimensional reconstruction technology.

[0105] Furthermore, in the embodiment of the present invention, by extracting the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure, the geometric similarity of the finite element model can be ensured, so as to more accurately detect the behavior of the blood vessel under physiological or pathological conditions. The key features refer to the geometric shape, size, material properties, and boundary conditions of the blood vessel.

[0106] As an embodiment of the present invention, extracting the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure includes: identifying the tubular structure of the blood vessel structure; extracting the blood vessel features of the artificial blood vessel in the three-dimensional model according to the tubular structure; analyzing the shape effect of the artificial blood vessel based on the blood vessel features; and extracting the key features of the artificial blood vessel from the three-dimensional model according to the shape effect.

[0107] Among them, the tubular structure refers to the geometric shape of blood vessels, which presents as a hollow pipe shape. The blood vessel characteristics refer to the specific properties of blood vessels extracted from the three-dimensional model, such as the diameter, wall thickness, length, curvature, etc. of the blood vessels. The shape effect refers to the visual performance of the artificial blood vessel in the three-dimensional model, including the accuracy of its geometric shape, surface smoothness, and relative position with other anatomical structures, etc.

[0108] Optionally, the recognition of the tubular structure of the blood vessel structure can be obtained through the Hessian matrix. The extraction of blood vessel characteristics of the artificial blood vessel in the three-dimensional model can be effectively achieved by using Mimics software to perform medical imaging of human blood vessel tissues and then extracting characteristics after completing the three-dimensional reconstruction of the blood vessel tissue. Based on the blood vessel characteristics, the shape effect analysis of the artificial blood vessel can be obtained through morphological analysis.

[0109] In the embodiment of the present invention, by performing finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model, a finite element analysis result can be obtained, which can calculate the stress and strain distributions of the blood vessel under physiological pressure and evaluate the stability and possible rupture risk of the blood vessel. The finite element analysis result refers to the data and conclusions obtained after numerically simulating the artificial blood vessel structure by the finite element method (FEM).

[0110] As an embodiment of the present invention, the performing finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result includes: dividing the three-dimensional model into meshes to obtain mesh elements; setting the material properties of the mesh elements according to the key features; analyzing the actual mechanical environment of the artificial blood vessel in the human body; setting the boundary conditions and load factors of the mesh elements based on the actual mechanical environment; constructing the nodal displacement matrix of the artificial blood vessel according to the boundary conditions and the load factors; and performing finite element analysis on the artificial blood vessel based on the nodal displacement matrix to obtain a finite element analysis result.

[0111] Among them, the mesh element refers to each small unit after discretizing the continuous three-dimensional model. The material property refers to the physical characteristics assigned to the mesh element, such as elastic modulus, Poisson's ratio, density, yield strength, etc. The actual mechanical environment refers to the mechanical conditions that the artificial blood vessel bears in the human body, including blood pressure, hemodynamics, pressure of surrounding tissues, pulsation, temperature change, etc. The boundary condition refers to the motion restrictions defined for the structure in certain regions, such as fixed support, free surface, symmetry constraint, etc. The load factor refers to the external force or moment applied to the structure and their amplification coefficients. The nodal displacement matrix refers to the vector containing the displacements of all nodes in each degree of freedom.

[0112] Optionally, the meshing of the three-dimensional model can be achieved using prism meshes and tetrahedral meshes, and the actual mechanical environment analysis of the artificial blood vessel in the human body can be obtained by constructing an in vitro simulation environment that simulates the in vivo mechanics and physiological conditions, such as using a digital pulse system device to simulate the blood flow curve of the human ascending aorta. Based on the actual mechanical environment, the boundary conditions and load factor settings of the mesh elements can be implemented using COMSOL Multiphysics.

[0113] In an optional embodiment of the present invention, according to the boundary conditions and the load factors, the node displacement matrix of the artificial blood vessel is constructed using the following formula:

[0114]

[0115] Among them, U represents the node displacement matrix, U(E→E) represents the node displacement probability from E node to E node, U(E→F) represents the node displacement probability from E node to F node, P(E→G) represents the node displacement probability from E node to G node, P(F→E) represents the node displacement probability from F node to E node, U(F→F) represents the node displacement probability from F node to F node, U(F→G) represents the node displacement probability from F node to G node, U(G→E) represents the node displacement probability from G node to E node, U(G→F) represents the node displacement probability from G node to F node, and U(G→G) represents the node displacement probability from G node to G node.

[0116] Furthermore, the embodiment of the present invention can evaluate the performance of different materials of the artificial blood vessel under the same conditions by identifying the physical properties of the artificial blood vessel based on the finite element analysis results, help optimize the geometry and structure of the artificial blood vessel, and ensure that it has the best performance when subjected to various mechanical loads. The physical properties refer to the mechanical and physical characteristics of the artificial blood vessel, such as tensile strength.

[0117] As an embodiment of the present invention, identifying the physical properties of the artificial blood vessel based on the finite element analysis results includes: calculating the stress distribution and strain of the artificial blood vessel under simulated blood flow conditions based on the finite element analysis results; analyzing the flexibility of the artificial blood vessel under physiological conditions; performing repeated puncture tests on the artificial blood vessel to obtain puncture performance; and identifying the physical properties of the artificial blood vessel based on the stress distribution and the strain, the flexibility and the puncture performance.

[0118] Among them, the simulated blood flow conditions refer to a series of parameters and conditions set in finite element analysis to simulate the blood flow environment experienced by the artificial blood vessel in the actual human body. The stress distribution refers to the distribution of forces received by each point inside the artificial blood vessel material under the simulated blood flow conditions. The strain condition refers to the degree of deformation of the artificial blood vessel after being subjected to stress. The puncture performance refers to the integrity and function retention ability of the artificial blood vessel after repeated punctures. The physiological conditions refer to the normal physiological environment faced by the artificial blood vessel in the human body, including body temperature, blood pH value, blood components, and pressure changes inside the blood vessel, etc. The flexibility refers to the flexibility and compliance of the artificial blood vessel under physiological conditions.

[0119] Optionally, based on the finite element analysis results, the calculation of the stress distribution and strain condition of the artificial blood vessel under the simulated blood flow conditions can be implemented using finite element analysis software. The analysis of the flexibility of the artificial blood vessel under physiological conditions can be obtained through a three-point bending test. The repeated puncture test of the artificial blood vessel can be implemented using a puncture needle.

[0120] The performance detection module 104 is used to extract the blood vessel material of the artificial blood vessel based on the physical properties, perform chemical property detection on the blood vessel material to obtain chemical property detection results, analyze the functional performance of the artificial blood vessel in actual use according to the chemical property detection results and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance.

[0121] In the embodiment of the present invention, by extracting the blood vessel material of the artificial blood vessel based on the physical properties, it can be used to detect the biocompatibility and chemical stability of the artificial blood vessel. The blood vessel material refers to various substances used to manufacture the artificial blood vessel, such as collagen, polyester, chitosan, etc.

[0122] Optionally, the extraction of the blood vessel material of the artificial blood vessel based on the physical properties can be implemented using laboratory analysis.

[0123] Furthermore, in the embodiment of the present invention, by performing chemical property detection on the blood vessel material to obtain chemical property detection results, important information such as the chemical stability, corrosion resistance, hydrolysis resistance, and degradation rate of the material can be obtained. Through chemical property detection, the chemical stability and biocompatibility of the blood vessel material can be effectively detected, thereby improving the detection accuracy of the artificial blood vessel. The chemical property detection results refer to the conclusions obtained by evaluating the chemical characteristics and behaviors of the artificial blood vessel material through a series of chemical test and analysis methods.

[0124] As an embodiment of the present invention, the chemical property detection of the vascular material to obtain the chemical property detection result includes: analyzing the stable state of the vascular material in different chemical environments; identifying the degradable elements of the vascular material and calculating the degradation rate of the degradable elements; analyzing the harmful substances of the vascular material based on the degradation rate; analyzing the interaction between the vascular material and human biomolecules; combining the harmful substances and the interaction to identify the safety effect of the vascular material; and performing chemical property detection on the vascular material according to the stable state and the safety effect to obtain the chemical property detection result.

[0125] Among them, the stable state refers to the ability of the artificial vascular material to maintain its physical and chemical properties unchanged in different chemical environments (such as temperature, humidity, chemical medium, etc.). The degradable elements refer to the components in the artificial vascular material that can be decomposed by the in-vivo environment of the organism, such as certain metal ions, polypeptides or other bioabsorbable materials. The degradation rate refers to the speed at which the degradable elements are decomposed in the in-vivo environment of the organism. The harmful substances refer to those substances that may cause harm to human health or the environment, such as heavy metals, toxic plastic additives, etc. The human biomolecules refer to the basic molecules that make up human cells and tissues. The interaction refers to the physical and chemical interactions between the artificial vascular material and human biomolecules, such as adsorption, binding, catalysis, etc. The safety effect refers to the safety of the artificial vascular material when used inside the human body, including whether it causes inflammation, immune response, toxic reaction, etc. The different chemical environments refer to various different chemical conditions in which the artificial vascular material is located.

[0126] Optionally, the analysis of the stable state of the vascular material in different chemical environments can be obtained by chemical analysis methods, such as infrared spectroscopy. The identification of the degradable elements of the vascular material can be realized by using the BPC Blue fully automatic biodegradation test system. The analysis of the harmful substances of the vascular material based on the degradation rate can be obtained through toxicological risk assessment. The analysis of the interaction between the vascular material and human biomolecules can be realized by using a blood compatibility test.

[0127] In an optional embodiment of the present invention, the following formula is used to calculate the degradation rate of the degradable elements:

[0128]

[0129] Among them, dM / dt represents the degradation rate of the degradable elements, dM represents the tiny change in the mass of the degradable elements, dt represents the tiny change in time, M represents the current mass of the degradable elements, and p represents the degradation rate constant of the degradable elements.

[0130] In the embodiments of the present invention, by analyzing the functional performance of the artificial blood vessel in actual use based on the chemical property detection results and the physical properties, the safety, effectiveness, and durability of the artificial blood vessel in actual use can be comprehensively evaluated, which helps to identify the safety effect of the artificial blood vessel material. The functional performance refers to various properties and characteristics demonstrated by the artificial blood vessel in actual clinical applications, and the actual use refers to the process of using the artificial blood vessel in clinical trials.

[0131] Optionally, the analysis of the functional performance of the artificial blood vessel in actual use according to the chemical property detection results and the physical properties can be obtained through clinical trials.

[0132] Furthermore, in the embodiments of the present invention, by evaluating the long-term stability of the artificial blood vessel based on the functional performance, the compatibility of the artificial blood vessel with human tissues during long-term use and its functionality during the long-term use process can be evaluated, and its service life can be predicted, ensuring the safety and effectiveness of the artificial blood vessel in clinical applications. The long-term stability refers to the durability and reliability of the artificial blood vessel under actual use conditions.

[0133] As an embodiment of the present invention, the evaluation of the long-term stability of the artificial blood vessel based on the functional performance includes: setting a test carrier for the artificial blood vessel based on the functional performance; analyzing the short-term effects and long-term impacts of the artificial blood vessel on the test carrier; identifying the tissue reaction of the artificial blood vessel according to the short-term effects; analyzing the degree of restenosis of the artificial blood vessel based on the long-term impacts; analyzing the patency of the artificial blood vessel; and evaluating the long-term stability of the artificial blood vessel by combining the tissue reaction, the degree of restenosis, and the patency of the blood vessel.

[0134] Among them, the test carrier refers to an animal model or an in vitro simulation system used to test the performance of the artificial blood vessel, such as pigs, sheep, and dogs. The short-term effects refer to the performance after the artificial blood vessel is removed from the test carrier at an early time point (such as 1 week, 1 month) after implantation. The long-term impacts refer to the performance of the artificial blood vessel in the test carrier over a long time period (such as 3 months, 6 months, 12 months). The tissue reaction refers to the biological reaction of the host tissue to the material after the artificial blood vessel is implanted, including the infiltration of inflammatory cells, the formation of granulation tissue, fibrosis, and possible rejection reactions. The degree of restenosis refers to the degree of stenosis of the blood vessel lumen caused by intimal hyperplasia or thrombosis after the artificial blood vessel is implanted. The patency of the blood vessel refers to the continuity and patency of blood flow in the blood vessel after the artificial blood vessel is implanted.

[0135] Optionally, based on the functional performance, the test carrier setting of the artificial blood vessel can be realized by using an animal entity model. The short-term effect analysis of the artificial blood vessel on the test carrier can be obtained by observing the recovery of the animal. The long-term impact analysis of the artificial blood vessel on the test carrier can be realized by using the functional performance of the artificial blood vessel and the general health condition of the animal. The tissue reaction identification of the artificial blood vessel according to the short-term effect can be obtained by evaluating the inflammatory reaction, cell infiltration and tissue compatibility through histological examination. Based on the long-term impact, the restenosis degree analysis of the artificial blood vessel can be realized by using imaging techniques such as ultrasound. The vascular patency analysis of the artificial blood vessel can be obtained by regular imaging examinations such as CT examination.

[0136] The result output module 105 is configured to detect the artificial blood vessel by combining the finite element analysis result, the three-dimensional model and the long-term stability, and obtain a detection result.

[0137] In the embodiment of the present invention, by combining the finite element analysis result, the three-dimensional model and the long-term stability, the artificial blood vessel is detected to obtain a detection result. The various mechanical conditions that the blood vessel may encounter in the body can be simulated through finite element analysis, so as to evaluate the mechanical properties and durability of the artificial blood vessel, predict the stability and possible failure modes of the blood vessel during long-term use, and use three-dimensional modeling technology to create an artificial blood vessel model that highly matches the patient's anatomical structure, predict the behavior of the blood vessel after implantation, and evaluate the compatibility with the surrounding tissues. By combining the long-term stability evaluation of the artificial blood vessel in the simulated body, the accuracy of the detection result of the artificial blood vessel can be significantly improved. The detection result refers to the conclusion and data obtained after a series of tests and evaluations on the artificial blood vessel.

[0138] The embodiment of the present invention can obtain the appearance features and structural information of the artificial blood vessel at different viewing angles by acquiring the artificial blood vessel to be detected and collecting multi-angle blood vessel images of the artificial blood vessel, thereby providing sufficient data support for subsequent analysis and processing, and segmenting the blood vessel boundary from the background according to the edge detection result, so as to clearly distinguish the blood vessel structure from the surrounding tissue and obtain the target blood vessel image; secondly, the embodiment of the present invention can align multiple images by identifying the blood vessel feature point pairs of the target blood vessel image, so that the same anatomical structure corresponds one to one in the spatial coordinate position, thereby reconstructing the three-dimensional structure of the blood vessel, so as to accurately simulate and understand the spatial structure of the blood vessel and improve the detection accuracy of the artificial blood vessel; further, the embodiment of the present invention can help simulate the flow of blood in the blood vessel and perform biomechanical analysis on the blood vessel by identifying the blood vessel structure of the artificial blood vessel according to the three-dimensional model, so as to help medical personnel better understand the complexity of the vascular system, and identify the physical properties of the artificial blood vessel based on the finite element analysis results, so as to help evaluate the performance of different materials of the artificial blood vessel under the same conditions, and help optimize the geometric shape and structure of the artificial blood vessel to ensure that it has the best performance when subjected to various mechanical loads; First, the embodiment of the present invention can comprehensively evaluate the safety, effectiveness and durability of the artificial blood vessel in actual use by analyzing the functional performance of the artificial blood vessel in actual use according to the chemical property test results and the physical properties, and help identify the safety effect of the artificial blood vessel material. The functional performance refers to the various properties and characteristics exhibited by the artificial blood vessel in actual clinical applications, so as to evaluate the compatibility of the artificial blood vessel with human tissues during long-term use and the functionality during long-term use, and predict its service life, so as to ensure the safety and effectiveness of the artificial blood vessel in clinical applications; finally, in combination with the finite element analysis results, the three-dimensional model and the long-term stability, the artificial blood vessel is tested to obtain the test results, and the various mechanical conditions that the blood vessel may encounter in the body can be simulated by finite element analysis, so as to evaluate the mechanical properties and durability of the artificial blood vessel, predict the stability of the blood vessel in long-term use and possible failure modes, and use three-dimensional modeling technology to create an artificial blood vessel model that is highly matched with the patient's anatomical structure, predict the behavior of the blood vessel after implantation, and evaluate the compatibility with surrounding tissues. Combined with the long-term stability evaluation of the artificial blood vessel in the simulated body, the accuracy of the artificial blood vessel test results can be significantly improved. Therefore, the artificial blood vessel detection method for cardiovascular surgery provided in the embodiment of the present invention can improve the accuracy of artificial blood vessel detection results.

[0139] Reference Figure 2 FIG. 1 is a flow chart of a method for detecting an artificial blood vessel for cardiovascular surgery according to an embodiment of the present invention. In this embodiment, the method for detecting an artificial blood vessel for cardiovascular surgery includes:

[0140] Obtain the artificial blood vessel to be detected, collect multi-angle blood vessel images of the artificial blood vessel, perform edge detection on the multi-angle blood vessel images to obtain a blood vessel edge image, mark the blood vessel boundary of the blood vessel edge image, perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image;

[0141] Identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel images, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and construct a three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates;

[0142] According to the three-dimensional model, identify the blood vessel structure of the artificial blood vessel, extract the key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure, perform finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain a finite element analysis result, and identify the physical properties of the artificial blood vessel based on the finite element analysis result;

[0143] Based on the physical properties, extract the blood vessel material of the artificial blood vessel, perform chemical property detection on the blood vessel material to obtain a chemical property detection result, analyze the functional performance of the artificial blood vessel in actual use according to the chemical property detection result and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance;

[0144] Combine the finite element analysis result, the three-dimensional model and the long-term stability to detect the artificial blood vessel and obtain a detection result.

[0145] In several embodiments provided by the present invention, it should be understood that the provided systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there can be other division methods in actual implementation.

[0146] In addition, each functional module in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An artificial blood vessel detection system for cardiovascular surgery, characterized in that: The artificial blood vessel detection system for cardiovascular surgery includes: an environment simulation module, a condition setting module, a cavity configuration module, a state monitoring module, and a result output module; The image acquisition module is used to acquire the artificial blood vessel to be detected, and to acquire multi-angle blood vessel images of the artificial blood vessel, to perform edge detection on the multi-angle blood vessel images to obtain a blood vessel edge image, to mark the blood vessel boundary of the blood vessel edge image, and to perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image; The model building module is used to identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel image, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and build the three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates; The finite element analysis module is used to identify the vascular structure of the artificial blood vessel according to the three-dimensional model, extract key features of the artificial blood vessel from the three-dimensional model based on the vascular structure, perform finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain finite element analysis results, and identify physical properties of the artificial blood vessel based on the finite element analysis results; The performance detection module is used to extract the vascular material of the artificial blood vessel based on the physical properties, perform chemical property detection on the vascular material to obtain chemical property detection results, analyze the functional performance of the artificial blood vessel in actual use according to the chemical property detection results and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance; The result output module is used to detect the artificial blood vessel in combination with the finite element analysis result, the three-dimensional model and the long-term stability to obtain a detection result.

2. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The identifying of the blood vessel feature point pairs of the target blood vessel image comprises: Extracting blood vessel feature points of the target blood vessel image; Performing feature description on the blood vessel feature points to obtain a feature descriptor; Based on the feature descriptor, performing feature point matching on the blood vessel feature points to obtain matching feature point pairs; An error screening process is performed on the matching feature point pairs to obtain blood vessel feature point pairs.

3. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The step of calculating the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pair and the camera parameters includes: Dispatching a multi-angle blood vessel image of the blood vessel feature point pair, and performing image correction on the multi-angle blood vessel image based on the camera parameters to obtain a corrected image; According to the corrected image, identifying the correction point pair of the blood vessel feature point pair, and calculating the feature descriptor of the correction point pair; Based on the camera parameters, construct a camera projection matrix of the corrected image; Combining the feature point coordinates and the camera projection matrix, constructing a coordinate equation of the blood vessel feature point in the corrected image; The three-dimensional feature point coordinates of the artificial blood vessel are determined according to the coordinate equation.

4. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The step of constructing the three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates includes: constructing a three-dimensional grid of the artificial blood vessel based on the three-dimensional feature point coordinates; Creating a surface structure of the artificial blood vessel according to the three-dimensional grid; Performing a smoothing treatment on the surface structure to obtain a smooth surface; Based on the three-dimensional feature point coordinates, scheduling the original image of the artificial blood vessel; Based on the original image, extracting texture information of the artificial blood vessel; The texture information is mapped onto the smooth surface to obtain a three-dimensional model of the artificial blood vessel.

5. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The step of extracting key features of the artificial blood vessel from the three-dimensional model based on the blood vessel structure includes: identifying a tubular structure of the vascular structure; Extracting blood vessel features of the artificial blood vessel in the three-dimensional model according to the tubular structure; Analyzing the shape effect of the artificial blood vessel based on the blood vessel characteristics; According to the shape effect, key features of the artificial blood vessel are extracted from the three-dimensional model.

6. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The step of performing finite element analysis on the artificial blood vessel according to the key features and the three-dimensional model to obtain finite element analysis results includes: Meshing the three-dimensional model to obtain mesh elements; According to the key features, setting material properties of the mesh elements; Analyzing the actual mechanical environment of the artificial blood vessel in the human body; Based on the actual mechanical environment, setting boundary conditions and load factors of the grid elements; Constructing a node displacement matrix of the artificial blood vessel according to the boundary conditions and the load factors; Based on the node displacement matrix, a finite element analysis is performed on the artificial blood vessel to obtain a finite element analysis result.

7. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The identifying the physical properties of the artificial blood vessel based on the finite element analysis result includes: Based on the finite element analysis results, calculating the stress distribution and strain of the artificial blood vessel under simulated blood flow conditions; Analyzing the flexibility of the artificial blood vessel under physiological conditions; Performing repeated puncture tests on the artificial blood vessel to obtain puncture performance; The physical properties of the artificial blood vessel are identified by combining the stress distribution and the strain condition, the flexibility and the puncture performance.

8. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The chemical property test of the vascular material to obtain the chemical property test result includes: analyzing the stability of the vascular material under different chemical environments; identifying degradable elements of the vascular material, and calculating degradation rates of the degradable elements; analyzing the vascular material for harmful substances based on the degradation rate; analyzing the interaction between the vascular material and human biomolecules; identifying the safety effects of the vascular material in combination with the harmful substances and the interactions; According to the stable state and the safety effect, the chemical property test is performed on the vascular material to obtain a chemical property test result.

9. The artificial blood vessel detection system for cardiovascular surgery according to claim 1, characterized in that: The step of evaluating the long-term stability of the artificial blood vessel based on the functional performance includes: Based on the functional performance, setting a test carrier of the artificial blood vessel; Analyzing the short-term effect and long-term influence of the artificial blood vessel on the test carrier; identifying a tissue response of the artificial blood vessel according to the short-term effect; Based on the long-term effects, analyzing the degree of restenosis of the artificial blood vessel; analyzing the vascular patency of the artificial blood vessel; The long-term stability of the artificial blood vessel is evaluated by combining the tissue reaction, the degree of restenosis and the vascular patency.

10. A method for detecting artificial blood vessels for cardiovascular surgery, characterized in that: The method comprises: Acquire an artificial blood vessel to be detected, collect multi-angle blood vessel images of the artificial blood vessel, perform edge detection on the multi-angle blood vessel images to obtain a blood vessel edge image, mark the blood vessel boundary of the blood vessel edge image, perform image segmentation processing on the blood vessel boundary and the blood vessel edge image to obtain a target blood vessel image; Identify the blood vessel feature point pairs of the target blood vessel image, query the camera parameters of the multi-angle blood vessel image, calculate the three-dimensional feature point coordinates of the artificial blood vessel according to the blood vessel feature point pairs and the camera parameters, and construct a three-dimensional model of the artificial blood vessel based on the three-dimensional feature point coordinates; According to the three-dimensional model, the vascular structure of the artificial blood vessel is identified; based on the vascular structure, key features of the artificial blood vessel are extracted from the three-dimensional model; according to the key features and the three-dimensional model, finite element analysis is performed on the artificial blood vessel to obtain finite element analysis results; based on the finite element analysis results, physical properties of the artificial blood vessel are identified; Based on the physical properties, extract the vascular material of the artificial blood vessel, perform chemical property test on the vascular material to obtain chemical property test results, analyze the functional performance of the artificial blood vessel in actual use according to the chemical property test results and the physical properties, and evaluate the long-term stability of the artificial blood vessel based on the functional performance; The artificial blood vessel is tested in combination with the finite element analysis result, the three-dimensional model and the long-term stability to obtain a test result.

Images