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CN119203636A - Guidewire flexibility detection method, electronic device and storage medium - Google Patents

Guidewire flexibility detection method, electronic device and storage medium Download PDF

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Publication number
CN119203636A
CN119203636A CN202410975440.2A CN202410975440A CN119203636A CN 119203636 A CN119203636 A CN 119203636A CN 202410975440 A CN202410975440 A CN 202410975440A CN 119203636 A CN119203636 A CN 119203636A
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data
guide wire
detected
flexibility
compliance
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CN119203636B (en
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边英男
赵敏
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Synexmed Shenzhen Co Ltd
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Synexmed Shenzhen Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/20—Investigating strength properties of solid materials by application of mechanical stress by applying steady bending forces
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02—Details
    • G01N3/06—Special adaptations of indicating or recording means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02—Details
    • G01N3/06—Special adaptations of indicating or recording means
    • G01N3/068—Special adaptations of indicating or recording means with optical indicating or recording means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
    • G06T17/205—Re-meshing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014—Type of force applied
    • G01N2203/0016—Tensile or compressive
    • G01N2203/0019—Compressive
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014—Type of force applied
    • G01N2203/0023—Bending
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058—Kind of property studied
    • G01N2203/0069—Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0075—Strain-stress relations or elastic constants
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/06—Indicating or recording means; Sensing means
    • G01N2203/0641—Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
    • G01N2203/0647—Image analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
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    • G01N2203/067—Parameter measured for estimating the property
    • G01N2203/0676—Force, weight, load, energy, speed or acceleration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/06—Indicating or recording means; Sensing means
    • G01N2203/067—Parameter measured for estimating the property
    • G01N2203/0682—Spatial dimension, e.g. length, area, angle
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract

The invention provides a guide wire flexibility detection method which comprises the steps of obtaining material distribution data of a guide wire to be detected, obtaining dynamic simulation data of the guide wire to be detected when a plurality of fixed loads act on the guide wire to be detected through a vascular simulation model, wherein each fixed load corresponds to one dynamic simulation data, conducting finite element analysis on the guide wire to be detected according to the material distribution data, determining first flexibility data of the guide wire to be detected under the action of the plurality of fixed loads, each fixed load corresponds to one first flexibility data, determining second flexibility data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data, and determining a flexibility detection result of the guide wire to be detected based on the plurality of first flexibility data and the plurality of second flexibility data. The invention can improve the accuracy and reliability of the flexibility evaluation.

Description

Guide wire flexibility detection method, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of medical guide wires, in particular to a guide wire flexibility detection method, electronic equipment and a storage medium.
Background
In the field of medical devices, as a critical tool for interventional therapy, the compliance (degree of compliance) performance of a guidewire is directly related to the success rate of surgery and patient safety. The flexibility of a guidewire not only affects its passage within a vessel, but also directly relates to the accuracy of the procedure and the extent of damage to the vessel wall. Thus, accurate assessment of the compliance performance of a guidewire is critical to ensuring medical quality and patient safety. The guide wire was compressed by a jig, and its softness was evaluated by manually observing and recording the force and displacement changes required for bending the end of the guide wire. Although intuitive, the method is difficult to comprehensively reflect the overall flexibility performance of the guide wire, and has poor accuracy and low reliability.
Disclosure of Invention
The embodiment of the invention provides a guide wire flexibility detection method, and aims to provide a scheme capable of improving the accuracy and reliability of guide wire flexibility detection. And meanwhile, obtaining second flexibility data through experimental tests, determining a flexibility detection result of the guide wire by comparing the first flexibility data with the second flexibility data, and improving the accuracy and reliability of flexibility assessment through mutual verification.
In a first aspect, an embodiment of the present invention provides a method for detecting flexibility of a guide wire, the method including the steps of:
Acquiring material distribution data of a guide wire to be detected, and acquiring dynamic simulation data of the guide wire to be detected when the guide wire to be detected passes through a vascular simulation model under the action of a plurality of fixed loads, wherein each fixed load corresponds to one dynamic simulation data;
performing finite element analysis on the guide wire to be detected according to the material distribution data, and determining first flexibility data of the guide wire to be detected under the action of a plurality of fixed loads respectively, wherein each fixed load corresponds to one first flexibility data respectively;
determining second flexibility data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data, wherein each fixed load corresponds to one second flexibility data;
and determining the flexibility detection result of the guide wire to be detected based on the first flexibility data and the second flexibility data.
Optionally, the step of performing finite element analysis on the guide wire to be detected according to the material distribution data, and determining the first compliance data of the guide wire to be detected under the action of a plurality of fixed loads respectively includes:
Constructing a geometric model of the guide wire to be detected, wherein the geometric model comprises a guide wire core model, a guide head model and a hose model;
And carrying out finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first flexibility data of the guide wire to be detected in a theoretical state.
Optionally, the material distribution data includes guide wire core material distribution data, guide head material distribution data and hose material distribution data, and the step of performing finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first compliance data of the guide wire to be detected in a theoretical state includes:
performing grid division on the geometric model to obtain a grid model of the guide wire to be detected, wherein the grid model comprises a guide wire core grid model, a guide head grid model and a hose grid model;
filling the unit cells in the guide wire core grid model based on the guide wire core material distribution data to obtain a first material grid model;
filling the cells in the guide head grid model based on the guide head material distribution data to obtain a second material grid model;
Filling the cells in the hose grid model based on the hose material distribution data to obtain a third material grid model;
Forming a model to be analyzed from the first material grid model, the second material grid model and the third material grid model;
Carrying out finite element analysis on the model to be analyzed by loading a plurality of fixed loads respectively to obtain a plurality of groups of finite element analysis results, wherein each group of finite element analysis results corresponds to one fixed load;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on a plurality of groups of finite element analysis results, wherein each finite element analysis result corresponds to one first flexibility data.
Optionally, the finite element analysis result includes displacement data and stress data of each cell, and the step of determining, based on the plurality of sets of finite element analysis results, a plurality of first compliance data of the guide wire to be detected in a theoretical state includes:
determining a compliance matrix corresponding to the finite element analysis result through the displacement data and the stress data;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on the flexibility matrixes corresponding to the finite element analysis results.
Optionally, a curved path is provided in the vascular simulation model, the guide wires to be detected respectively pass through the curved path under the action of a plurality of fixed loads, and the step of determining the second flexibility data of the guide wires to be detected respectively under the action of different fixed loads according to the dynamic simulation data includes:
Determining a bending amount sequence and a shaking amount sequence of the guide wire to be detected when the guide wire passes through each target path section according to the dynamic simulation data, wherein the target path section is a curved path containing a focus in one section of the curved path;
and determining second flexibility data of the guide wire to be detected under each fixed load according to the bending quantity sequence and the shaking quantity sequence.
Optionally, the bending amount sequence includes a bending rate distribution and a bending angle distribution of the guide wire to be detected in the target path segment, and the shaking amount sequence includes an axial offset distribution of the guide wire to be detected in the target path segment, where the axial offset is an offset between a central axis of the guide wire to be detected and a central axis of the target path segment.
Optionally, the step of determining the second compliance data of the guide wire to be detected under the action of each fixed load according to the bending amount sequence and the shaking amount sequence includes:
based on the bending rate distribution and the bending angle distribution, performing first normalization processing by adopting the fixed bending rate and the fixed bending angle of the target path section to obtain a bending quantity factor BF;
Based on the axis offset distribution, performing second normalization processing by adopting the average diameter of the target path segment to obtain a jitter factor VF;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load based on the bending quantity factor BF and the shaking quantity factor VF.
Optionally, the step of determining the compliance detection result of the guide wire to be detected based on the plurality of first compliance data and the plurality of second compliance data includes:
carrying out correlation calculation on the first flexibility data and the second flexibility data under the same fixed load action to obtain correlation values under the fixed load action;
Calculating average correlation values under the action of all the fixed loads;
If the average correlation value is smaller than a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is not passing;
and if the average correlation value is greater than or equal to a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is passing.
In a second aspect, embodiments of the present invention also provide an electronic device,
Comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the guidewire compliance detection method according to any one of the embodiments of the present invention when the computer program is executed.
In a third aspect, embodiments of the present invention provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor implements the steps in the guidewire compliance detection method provided by the embodiments of the present invention.
In the embodiment of the invention, material distribution data of a guide wire to be detected are obtained, dynamic simulation data of the guide wire to be detected when the guide wire to be detected passes through a vascular simulation model under the action of a plurality of fixed loads are obtained, each fixed load corresponds to one dynamic simulation data, finite element analysis is carried out on the guide wire to be detected according to the material distribution data, first flexibility data of the guide wire to be detected under the action of the plurality of fixed loads are determined, each fixed load corresponds to one first flexibility data, second flexibility data of the guide wire to be detected under the action of different fixed loads are determined according to the dynamic simulation data, each fixed load corresponds to one second flexibility data, and a flexibility detection result of the guide wire to be detected is determined based on the plurality of first flexibility data and the plurality of second flexibility data. Meanwhile, second flexibility data are obtained through experimental tests, a flexibility detection result of the guide wire is determined through comparing the first flexibility data with the second flexibility data, and accuracy and reliability of flexibility assessment are improved through mutual verification.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting guidewire compliance provided by an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
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. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for detecting flexibility of a guide wire according to an embodiment of the present invention. The guide wire flexibility detection method comprises the following steps:
101. Acquiring material distribution data of a guide wire to be detected, and acquiring dynamic simulation data of the guide wire to be detected when the guide wire to be detected passes through a vascular simulation model under the action of a plurality of fixed loads, wherein each fixed load corresponds to one dynamic simulation data;
102. performing finite element analysis on the guide wire to be detected according to the material distribution data, and determining first flexibility data of the guide wire to be detected under the action of a plurality of fixed loads respectively, wherein each fixed load corresponds to one first flexibility data;
103. Determining second flexibility data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data, wherein each fixed load corresponds to one second flexibility data;
104. and determining the flexibility detection result of the guide wire to be detected based on the first flexibility data and the second flexibility data.
In embodiments of the present invention, in the field of medical devices, the compliance performance of the guidewire is critical to the success rate of the procedure and patient safety. Compliance affects not only the passage of the guidewire within the vessel, but also directly relates to the accuracy of the procedure and the extent of damage to the vessel wall. The degree to which a material bends or deforms when subjected to a force, and for a guidewire, compliance is an important property in that it can pass smoothly through a curved vessel without damage.
In this embodiment, the material distribution data may be obtained by material testing or manufacturer-supplied data, the material distribution data being used to construct a geometric model of the guidewire and to perform finite element analysis. The material distribution data may include one or more physical, chemical, indicators, such as density, elastic modulus, poisson's ratio, composition gradient, gradient of elastic modulus, hydrophilic coating material composition, hydrophilic coating material thickness, and the like.
Under the condition of batch detection of the same batch of guide wires, the material distribution data are reusable data, namely, the material distribution data of each guide wire are not required to be acquired separately and only required to be acquired once.
In this embodiment, the blood vessel simulation model is a solid model, in which a curved path simulating a blood vessel is provided, and the guide wire to be detected travels along the curved path, and in the traveling process, the guide wire to be detected is curved along the curved path. Specifically, the guide wire to be detected is inserted into the inlet of the blood vessel simulation model, and a fixed load is applied to push the guide wire to be detected to move along the curved path of the simulated blood vessel. The specific structure of the blood vessel simulation model is not particularly limited in this embodiment, for example, the blood vessel simulation model is an actual blood vessel equal-scale, equal-scale model, and the blood vessel simulation model may also include only core features of an actual blood vessel.
The vessel simulation model is a transparent solid model, and the dynamic simulation data may be image data obtained by image capturing or laser scanning data obtained by laser scanning. During the advancing process of the guide wire to be detected, continuous clear images of the guide wire to be detected advancing along a curved path in a vascular simulation model can be captured through a CMOS sensor. And extracting the motion data of the guide wire to be detected from the continuous clear images through an image recognition and image segmentation algorithm to obtain the dynamic simulation data of the guide wire to be detected. In addition, in the advancing process of the guide wire to be detected, the vascular simulation model can be aligned through the three-dimensional laser scanner, so that the scanning range can cover the whole process of the movement of the guide wire. The interaction between the laser beam and the surface of the guide wire to be detected is considered, so that the scanning data can accurately reflect the shape and the position of the guide wire to be detected. And carrying out laser scanning in real time to acquire point cloud data of the surface of the guide wire to be detected. And carrying out preprocessing operations such as denoising, registering, segmentation and the like on the point cloud data to obtain dynamic simulation data of the guide wire to be detected.
In this embodiment, finite element analysis of a static structure is performed on a geometric model of a guide wire to be detected according to material distribution data, and deformation conditions of the guide wire under the action of a plurality of fixed loads are analyzed to obtain first flexibility data. And processing dynamic simulation data, and determining actual bending and shaking conditions of the guide wire to be detected under the action of different fixed loads respectively to obtain second flexibility data.
If the first flexibility data and the second flexibility data are similar, the flexibility detection result of the guide wire to be detected can be determined to be detection passing, and if the first flexibility data and the second flexibility data are relatively different, the flexibility detection result of the guide wire to be detected can be determined to be detection failing.
In one possible embodiment, a classifier may be trained, the first compliance data and the second compliance data are input into the classifier, and the compliance detection result of the guide wire to be detected is judged to be passing or failing detection by the classifier. The classifier may be a support vector machine or a deep learning model.
In the embodiment, the first flexibility data is obtained by analyzing the guide wire to be detected through finite element analysis, the second flexibility data is obtained through experimental tests, the flexibility detection result of the guide wire is determined through comparing the first flexibility data with the second flexibility data, and the accuracy and reliability of flexibility assessment are improved through mutual verification.
Optionally, the step of performing finite element analysis on the guide wire to be detected according to the material distribution data to determine first compliance data of the guide wire to be detected under the action of a plurality of fixed loads respectively includes:
Constructing a geometric model of the guide wire to be detected, wherein the geometric model comprises a guide wire core model, a guide head model and a hose model;
And carrying out finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first flexibility data of the guide wire to be detected in a theoretical state.
In the embodiment of the invention, the geometric model of the guide wire to be detected can be constructed according to the shape and the structural parameters of the guide wire to be detected. The geometric model is a three-dimensional reproduction representation of the guide wire to be detected in a computer, and the actual structure and shape of the guide wire to be detected can be accurately duplicated. The guide wire mainly comprises a guide wire core, a guide head and a hose outside the guide wire core, and the obtained geometric model comprises three main parts, namely a guide wire core model, a guide head model and a hose model. The guide wire core model, the guide head model and the hose model jointly form a main body structure of the guide wire to be detected.
It should be noted that the geometric model of the guide wire to be detected can be multiplexed, that is, the same batch of guide wires with the same shape and structure parameters can be constructed by only constructing one geometric model. In other words, under the condition that the fixed load is unchanged, the plurality of guide wires to be detected which have the same shape and structural parameters and the same material distribution data are provided, and the first flexibility data corresponding to the plurality of fixed loads are the same. Therefore, the first compliance data may be multiplexed, and no one model build per guidewire to be detected is required.
And carrying out finite element analysis of a static structure on the geometric model by using the obtained material distribution data. The material distribution data may include one or more physical, chemical, indicators, such as density, elastic modulus, poisson's ratio, composition gradient, gradient of elastic modulus, hydrophilic coating material composition, hydrophilic coating material thickness, and the like. The material distribution data is the basis of finite element analysis, so that the theoretical response of the guide wire under stress can be accurately simulated in the finite element analysis process.
In the finite element analysis process, a geometric model may be divided into many small, interconnected elements (also called voxels). Each element performs a mechanical analysis based on physical properties in the material distribution data. By calculating the deformation of the elements under the action of a plurality of fixed loads respectively, first flexibility data of the guide wire to be detected in a theoretical state can be obtained. The first compliance data reflects the degree to which the guidewire bends or deforms when subjected to a force and is an important indicator for evaluating the compliance performance of the guidewire.
By constructing a geometric model and performing finite element analysis by using material distribution data, first compliance data of the guidewire to be detected under a plurality of fixed loads respectively can be accurately determined.
The boundary constraint of the finite element analysis can be obtained according to a vascular simulation model, namely, the maximum boundary parameter and the minimum boundary parameter are the maximum boundary parameter and the minimum boundary parameter in the vascular simulation model, so that a finite element analysis reference analysis environment can be provided. The boundary parameters include shape boundary parameters and mechanical boundary parameters.
Optionally, the material distribution data includes guide wire core material distribution data, guide head material distribution data and hose material distribution data, and the step of performing finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first compliance data of the guide wire to be detected in a theoretical state includes:
performing grid division on the geometric model to obtain a grid model of the guide wire to be detected, wherein the grid model comprises a guide wire core grid model, a guide head grid model and a hose grid model;
filling the unit cells in the guide wire core grid model based on the guide wire core material distribution data to obtain a first material grid model;
filling the cells in the guide head grid model based on the guide head material distribution data to obtain a second material grid model;
Filling the cells in the hose grid model based on the hose material distribution data to obtain a third material grid model;
the first material grid model, the second material grid model and the third material grid model form a model to be analyzed;
carrying out finite element analysis on the model to be analyzed by loading a plurality of fixed loads respectively to obtain a plurality of groups of finite element analysis results, wherein each group of finite element analysis results corresponds to one fixed load;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on a plurality of groups of finite element analysis results, wherein each finite element analysis result corresponds to one first flexibility data.
In this embodiment, the constructed geometric model is gridded, and the geometric model is divided into a plurality of small cells connected to each other, thereby obtaining a gridded model of the guide wire to be detected. The grid model comprises a guide wire core grid model, a guide head grid model and a hose grid model, which correspond to different components of the guide wire respectively.
In one possible embodiment, the constructed geometric model is gridded, and automatic gridding can be achieved through finite element analysis software. The finite element analysis software may be existing software such as ANSYS, abaqus, COMSOL Multiphysics, etc., which is not limited in this embodiment.
And filling the cells in the guide wire core grid model according to the guide wire core material distribution data so that each cell contains the correct physical properties of the guide wire core material, thereby obtaining the first material grid model. And similarly, filling the cells in the guide head grid model and the hose grid model according to the guide head material distribution data and the hose material distribution data respectively to obtain a second material grid model and a third material grid model.
The first material grid model, the second material grid model and the third material grid model are formed into a model to be analyzed, so that different components of the guide wire and the material properties of the guide wire are integrated together to form a model which can be used for finite element analysis.
In one possible embodiment, in the finite element analysis software, the finite element analysis is performed on the model to be analyzed by loading a plurality of fixed loads, respectively. The finite element analysis software simulates various load conditions which the guide wire can bear in the actual use process. For each fixed load, a set of finite element analysis results is obtained that reflects the deformation and stress of the guidewire under that load. The finite element analysis software can adopt the software and is not repeated.
In one possible embodiment, the fixed load is a load applied by a user acquired during the interventional operation, so that the finite element analysis result can be closer to the interventional operation scene.
A plurality of first compliance data of the guidewire to be detected in a theoretical state is determined based on the plurality of sets of finite element analysis results. Each finite element analysis corresponds to a first compliance data that quantifies compliance performance of the guidewire under the load. The first compliance data provides comprehensive and accurate information about the compliance performance of the guidewire, and may be used to guide the design and manufacturing process of the guidewire in addition to the detection of the compliance performance of the guidewire.
Optionally, the finite element analysis result includes displacement data and stress data of each cell, and the step of determining, based on the plurality of sets of finite element analysis results, a plurality of first compliance data of the guide wire to be detected in a theoretical state includes:
determining a compliance matrix corresponding to the finite element analysis result through the displacement data and the stress data;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on the flexibility matrixes corresponding to the finite element analysis results.
In the present embodiment, for each finite element analysis result, the compliance matrix corresponding to the finite element analysis result is calculated using the displacement data and the stress data therein. The compliance matrix describes the relationship between the displacement and stress of the guidewire when subjected to an external force. By calculating the compliance matrix, the compliance performance of the guidewire under different loads can be more accurately known.
Specifically, the rigidity matrix of the model to be analyzed can be automatically output by utilizing finite element analysis software according to the displacement data and the stress data of each cell. In general, the compliance matrix is an inverse of the stiffness matrix, and the inverse of the stiffness matrix, that is, the compliance matrix can be obtained by gaussian elimination, LU decomposition, cholesky decomposition, or the like.
Further, in order to make the compliance matrix more accurate, the compliance matrix is calculated by the following formula (1):
wherein G is a compliance matrix, phi is a vibration mode matrix of a stiffness matrix, phi T is a vibration mode matrix transpose of the stiffness matrix, lambda is a diagonal matrix, and the diagonal elements thereof are Λ -1 is the inverse of the diagonal matrix, ω i is the i-th order modal frequency of the stiffness matrix, phi i is the i-th stiffness value in the stiffness matrix,Is the stiffness value transposition of the ith stiffness matrix after the stiffness matrix transposition, and n is the number of stiffness values in the stiffness matrix.
And determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on the flexibility matrixes corresponding to the finite element analysis results. In this step, each compliance matrix may be combined with a corresponding load condition, and the first compliance data for the guidewire under that load may be calculated by a particular algorithm or formula. These data can reflect the compliance performance of the guidewire in the theoretical state, i.e., without the effects of actual wear and aging.
The compliance matrix G has been obtained by finite element analysis and is an n x n matrix, where n is the number of nodes on the guidewire. Consider the overall compliance of the guidewire in the direction along the axis of the guidewire.
The first compliance Flex 1 is defined as the weighted sum of the compliance components of all nodes on the guidewire in the direction along the axis of the guidewire, taking into account the length L of the guidewire. The compliance component of each node may be represented by a corresponding element of the compliance matrix G. The specific formula (2) is as follows:
Where G ij is an element of the i-th row and j-th column of the compliance matrix G, representing the compliance component of the node ij under a fixed load. w ij is a weight factor for node ij to consider the contribution of the compliance components of the different nodes to the overall compliance. These weight factors may be set according to the position of the node on the guide wire, with the weight factors being larger the more forward the position on the guide wire and smaller the later the position on the guide wire. L is the length of the guidewire and is used to account for the effect of guidewire size on compliance, and L pij is the length index value of the guidewire corresponding to node ij. p ij is a local influence factor, different nodes correspond to different local influence factors, q is a global influence factor, and is a constant value, L pij is used for adjusting the contribution degree of the compliance components corresponding to different nodes, and 1/q is used for adjusting the overall compliance. p ij and q can be selected and adjusted empirically.
A compliance matrix is calculated by using displacement data and stress data in the finite element analysis result, and a plurality of first compliance data of the guidewire to be detected in a theoretical state is determined based on the plurality of compliance matrices. In addition to being used for detection of the flexibility performance of the guide wire, the first flexibility data provides powerful theoretical support for design and manufacture of the guide wire, and is beneficial to optimizing the structure and performance of the guide wire and improving the flexibility and stability of the guide wire in actual use.
Optionally, a curved path is provided in the vascular simulation model, the guide wire to be detected passes through the curved path under the action of a plurality of fixed loads, and according to the dynamic simulation data, the step of determining second flexibility data of the guide wire to be detected under the action of different fixed loads includes:
Determining a bending amount sequence and a shaking amount sequence of the guide wire to be detected when the guide wire passes through a target path section aiming at each fixed load through the dynamic simulation data, wherein the target path section is a section of focus simulation path in the bending path;
and determining second flexibility data of the guide wire to be detected under each fixed load according to the bending quantity sequence and the shaking quantity sequence.
In this embodiment, it is contemplated that the guidewire may need to traverse complex vascular pathways during actual use, particularly vascular pathways that include lesions. Therefore, the present embodiment simulates such an actual use environment using a blood vessel simulation model in which a curved path is provided to test the performance of a guide wire, i.e., a curved path including a lesion, which is a solid model path of a blood vessel path including a lesion, is provided.
For each fixed load, the deformation response of the guidewire to be detected as it passes through the target path segment in the curved path is represented by dynamic simulation data. The target path segment may be a curved path that includes a lesion in the curved path to more truly reflect what the guidewire may encounter in actual use.
The sequence of bending and shaking amounts of the guidewire to be detected as it passes through the target path segment may be recorded or identified. The bending sequence reflects the degree of bending of the guidewire as it passes through the bending path, while the jitter sequence reflects the stability of the guidewire during bending.
The second flexibility data of the guide wire to be detected under each fixed load is determined according to the recorded bending quantity sequence and the recorded shaking quantity sequence, the bending performance and stability of the guide wire can be comprehensively considered, and the flexibility performance of the guide wire when the guide wire passes through a complex vascular path can be more comprehensively estimated.
By utilizing the curved path and dynamic simulation data in the vascular simulation model, the second flexibility data of the guide wire to be detected under different fixed loads can be accurately determined, and the accuracy of flexibility detection is further improved.
Optionally, the bending amount sequence includes a bending rate distribution and a bending angle distribution of the guide wire to be detected in the target path segment, and the shaking amount sequence includes an axial offset distribution of the guide wire to be detected in the target path segment, where the axial offset is an offset between a central axis of the guide wire to be detected and a central axis of the target path segment.
In the embodiment of the invention, the bending amount sequence comprises two important distribution information, namely bending rate distribution and bending angle distribution. The bending rate distribution describes the change of the bending degree of the guide wire to be detected on the target path section, namely the bending rate of the guide wire to be detected at different positions. The bending angle distribution further describes the angle change condition of the guide wire to be detected in the bending process.
The jitter amount sequence mainly describes the axial offset distribution of the guide wire to be detected on the target path segment. The axial offset refers to the degree of offset between the central axis of the guidewire to be detected and the central axis of the target path segment. This parameter reflects the deviation of the guide wire axis from the ideal path during delivery or movement. By the distribution of the shaft offset, the stability and the transmission accuracy of the guide wire can be further evaluated.
The sequence of bending amounts and the sequence of shaking amounts together provide detailed deformation characteristic information of the guide wire to be detected on each target path segment.
Optionally, the step of determining the second compliance data of the guide wire to be detected under the action of each fixed load according to the bending amount sequence and the shaking amount sequence includes:
based on the bending rate distribution and the bending angle distribution, performing first normalization processing by adopting the fixed bending rate and the fixed bending angle of the target path section to obtain a bending quantity factor BF;
Based on the axis offset distribution, performing second normalization processing by adopting the average diameter of the target path segment to obtain a jitter factor VF;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load based on the bending quantity factor BF and the shaking quantity factor VF.
In this embodiment, the first normalization process may be performed by using a fixed bending rate and a fixed bending angle corresponding to the target path segment according to the bending rate distribution and the bending angle distribution of the guide wire to be detected on the target path segment. The bending deformation characteristics on the different target path segments are normalized for better comparison and evaluation. Through the first normalization process, a bending amount factor BF can be obtained reflecting the relative size of the guidewire to be tested in terms of bending deformation. The first normalization process may be to divide the bending rate value in the bending rate distribution by the fixed bending rate at the corresponding position to obtain a bending rate ratio, where the bending rate ratio is generally distributed near 1, and the closer to 1, the more the guide wire to be detected is adapted to the target path segment, and the farther from 1, the more the guide wire to be detected is adapted to the target path segment, and the less the guide wire to be detected is adapted to the target path segment. Dividing the bending angle value in the bending angle distribution by the fixed bending angle at the corresponding position to obtain a bending angle ratio, wherein the bending angle ratio is generally distributed near 1, and the closer to 1, the more the guide wire to be detected is adapted to the target path section, the farther from 1, and the more the guide wire to be detected is adapted to the target path section, the more the guide wire to be detected is not adapted to the target path section.
And carrying out second normalization processing by adopting the average diameter of each target path segment based on the shaft offset distribution of the guide wire to be detected on each target path segment. The parameter axis offset is also normalized to be integrated with the bending factor BF. Through the second normalization process, a jitter factor VF can be obtained, reflecting the relative magnitude of the guide wire to be detected in terms of shaft deflection deformation. Calculating the ratio of the shaft offset value in the shaft offset distribution to the average diameter of the target path segment to obtain an offset ratio, wherein the larger the offset ratio is, the more unstable the flexibility of the guide wire to be detected is, and the more easily the guide wire to be detected is contacted with the vascular wall.
Based on the bending amount factor BF and the jitter amount factor VF, second compliance data of the guidewire to be detected under each fixed load may be determined. The characteristics of bending deformation and shaft deflection deformation are comprehensively considered to evaluate the flexibility performance of the guide wire to be detected under the specific load. In general, the compliance detection results require a higher bending amount factor BF and a lower jitter amount factor VF.
Optionally, the step of determining the compliance detection result of the guide wire to be detected based on the plurality of first compliance data and the plurality of second compliance data includes:
carrying out correlation calculation on the first flexibility data and the second flexibility data under the same fixed load action to obtain correlation values under the fixed load action;
Calculating average correlation values under the action of all the fixed loads;
If the average correlation value is smaller than a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is not passing;
and if the average correlation value is greater than or equal to a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is passing.
In this embodiment, for each fixed load, the corresponding first compliance data and second compliance data are correlated. And under the same load effect, consistency or similarity between two kinds of soft data is evaluated through the correlation, so that the correlation value under each fixed load effect can be obtained. The correlation value reflects the degree of correlation of the first compliance data with the second compliance data under the corresponding load. The specific calculation method of the correlation degree in this embodiment is not particularly limited. For example, the correlation calculation may be performed by a Pearson correlation coefficient (Pearson product-moment correlation coefficient), or may be performed by a spearman ρ coefficient (Spearman rho coefficient), a point-by-two coefficient (point-biserial coefficient), a kendel correlation coefficient, and a phi coefficient (phi coeffient).
After calculating the correlation values under the fixed load, further calculating the average correlation value of the correlation values under all the fixed loads. The higher the average correlation value, the better the consistency of the first compliance data and the second compliance data in the whole, namely, the higher the reliability of the compliance detection result. The average correlation value may take any type of average, such as arithmetic average, geometric average, square average (root mean square average, rms), harmonic average, weighted average, etc.
And determining the flexibility detection result of the guide wire to be detected according to the comparison result of the average correlation value and the preset correlation threshold value. If the average correlation value is less than the correlation threshold, which indicates that the first compliance data and the second compliance data have poor consistency, a large error or uncertainty may exist, so that the compliance detection result of the guide wire to be detected is determined to be failed. In contrast, if the average correlation value is greater than or equal to the correlation threshold, it indicates that the consistency between the first compliance data and the second compliance data is better, and the detection result is more reliable, so that the compliance detection result of the guide wire to be detected is determined to be passing.
The average correlation degree of the first flexibility data and the second flexibility data under a plurality of fixed loads is compared and analyzed to evaluate the flexibility performance of the guide wire to be detected, corresponding detection results are given, the flexibility data under the theoretical state and the actual state are comprehensively considered, and the accuracy and the reliability of the detection results are improved.
Fig. 2 is a schematic structural diagram of an electronic device according to another embodiment of the present invention. As shown in fig. 2, the electronic device comprises a memory 202, a processor 201, and a computer program stored on the memory 202 and executable on the processor 201 for a guidewire compliance detection method, wherein:
The processor 201 is configured to call a computer program stored in the memory 202, and perform the following steps:
Acquiring material distribution data of a guide wire to be detected, and acquiring dynamic simulation data of the guide wire to be detected when the guide wire to be detected passes through a vascular simulation model under the action of a plurality of fixed loads, wherein each fixed load corresponds to one dynamic simulation data;
performing finite element analysis on the guide wire to be detected according to the material distribution data, and determining first flexibility data of the guide wire to be detected under the action of a plurality of fixed loads respectively, wherein each fixed load corresponds to one first flexibility data respectively;
Determining second flexibility data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data, wherein each fixed load corresponds to one second flexibility data;
and determining the flexibility detection result of the guide wire to be detected based on the first flexibility data and the second flexibility data.
Optionally, the step of determining the first compliance data of the guide wire to be detected under the action of a plurality of fixed loads by performing finite element analysis on the guide wire to be detected according to the material distribution data by the processor 201 includes:
Constructing a geometric model of the guide wire to be detected, wherein the geometric model comprises a guide wire core model, a guide head model and a hose model;
And carrying out finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first flexibility data of the guide wire to be detected in a theoretical state.
Optionally, the material distribution data includes wire core material distribution data, guide head material distribution data, and hose material distribution data, and the step of performing, by the processor 201, finite element analysis of the static structure on the geometric model according to the material distribution data to obtain first compliance data of the wire to be detected in a theoretical state includes:
performing grid division on the geometric model to obtain a grid model of the guide wire to be detected, wherein the grid model comprises a guide wire core grid model, a guide head grid model and a hose grid model;
filling the unit cells in the guide wire core grid model based on the guide wire core material distribution data to obtain a first material grid model;
filling the cells in the guide head grid model based on the guide head material distribution data to obtain a second material grid model;
Filling the cells in the hose grid model based on the hose material distribution data to obtain a third material grid model;
Forming a model to be analyzed from the first material grid model, the second material grid model and the third material grid model;
Carrying out finite element analysis on the model to be analyzed by loading a plurality of fixed loads respectively to obtain a plurality of groups of finite element analysis results, wherein each group of finite element analysis results corresponds to one fixed load respectively;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on a plurality of groups of finite element analysis results, wherein each finite element analysis result corresponds to one first flexibility data.
Optionally, the finite element analysis result includes displacement data and stress data of each cell, and the step of determining, based on the plurality of sets of finite element analysis results, the first plurality of compliance data of the guide wire to be detected in a theoretical state, which is performed by the processor 201 includes:
determining a compliance matrix corresponding to the finite element analysis result through the displacement data and the stress data;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on the flexibility matrixes corresponding to the finite element analysis results.
Optionally, a curved path is provided in the vascular simulation model, the guide wire to be detected passes through the curved path under the action of a plurality of fixed loads, and the step of determining, by the processor 201, second compliance data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data includes:
determining a bending amount sequence and a shaking amount sequence of the guide wire to be detected when the guide wire passes through a target path section aiming at each fixed load through the dynamic simulation data, wherein the target path section is a curved path containing a focus in one section of the curved path;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load according to the bending quantity sequence and the shaking quantity sequence.
Optionally, the bending amount sequence includes a bending rate distribution and a bending angle distribution of the guide wire to be detected in each target path segment, and the shaking amount sequence includes an axial offset distribution of the guide wire to be detected in each target path segment, where the axial offset is an offset between a central axis of the guide wire to be detected and a central axis of the target path segment.
Optionally, the step of determining, by the processor 201, the second compliance data of the guide wire to be detected under the fixed load according to the bending amount sequence and the jitter amount sequence includes:
based on the bending rate distribution and the bending angle distribution, performing first normalization processing by adopting the fixed bending rate and the fixed bending angle of the target path section to obtain a bending quantity factor BF;
Based on the axis offset distribution, performing second normalization processing by adopting the average diameter of the target path segment to obtain a jitter factor VF;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load based on the bending quantity factor BF and the shaking quantity factor VF.
Optionally, the step of determining the compliance detection result of the guide wire to be detected, which is executed by the processor 201, based on the plurality of the first compliance data and the plurality of the second compliance data, includes:
Carrying out correlation calculation on the first flexibility data and the second flexibility data under the same fixed load to obtain correlation values under the action of each fixed load;
Calculating average correlation values under the action of all the fixed loads;
If the average correlation value is smaller than a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is not passing;
and if the average correlation value is greater than or equal to a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is passing.
It should be noted that, the electronic device provided in this embodiment may be applied to a computer, an edge end, a server, a cloud platform, and other devices that may perform the method for detecting flexibility of a guide wire, that is, the electronic device may be a computer, an edge end, a server, a cloud platform, and other devices.
The electronic device provided by the embodiment can realize each process realized by the guide wire flexibility detection method in the method embodiment, and can achieve the same beneficial effects. In order to avoid repetition, a description thereof is omitted.
Still another embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements each process of the method for detecting a flexibility of a guide wire provided in the foregoing embodiment of the present invention, and the same technical effects can be achieved, and in order to avoid repetition, a detailed description is omitted herein.
Those skilled in the art will appreciate that implementing all or part of the processes of the methods of the embodiments described above may be accomplished by computer programs to instruct related hardware. As in the previous embodiments, the processor may be hardware that performs logic operations, such as a single-chip microcomputer, a microprocessor, a Programmable logic controller (PLC, programmable Logic Controller) or a Field-Programmable gate array (FPGA), or a software program, a function module, a function, a target library (Object Libraries) or a Dynamic-Link library (Dynamic-Link Libraries) that implement the above functions on a hardware basis. Or a combination of the two. The computer program may be stored in a computer readable storage medium. The program, when executed, may include the flow of embodiments of the methods described above. The computer readable storage medium may be a magnetic disk, a magnetic tape, an optical disk, a Phase Change Memory (PCM), a Read-Only Memory (ROM), a random access Memory (Random Access Memory, abbreviated as RAM), or the like.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.

Claims (10)

1. A method of guidewire compliance detection, the method comprising the steps of:
Acquiring material distribution data of a guide wire to be detected, and acquiring dynamic simulation data of the guide wire to be detected when the guide wire to be detected passes through a vascular simulation model under the action of a plurality of fixed loads, wherein each fixed load corresponds to one dynamic simulation data;
performing finite element analysis on the guide wire to be detected according to the material distribution data, and determining first flexibility data of the guide wire to be detected under the action of a plurality of fixed loads respectively, wherein each fixed load corresponds to one first flexibility data respectively;
determining second flexibility data of the guide wire to be detected under the action of different fixed loads according to the dynamic simulation data, wherein each fixed load corresponds to one second flexibility data;
and determining the flexibility detection result of the guide wire to be detected based on the first flexibility data and the second flexibility data.
2. The method of claim 1, wherein the step of performing finite element analysis on the wire to be detected based on the material distribution data to determine first compliance data of the wire to be detected under a plurality of fixed loads, respectively, comprises:
Constructing a geometric model of the guide wire to be detected, wherein the geometric model comprises a guide wire core model, a guide head model and a hose model;
And carrying out finite element analysis of a static structure on the geometric model according to the material distribution data to obtain first flexibility data of the guide wire to be detected in a theoretical state.
3. The method for detecting flexibility of a guide wire according to claim 2, wherein the material distribution data includes guide wire core material distribution data, guide head material distribution data, and hose material distribution data, and the step of performing finite element analysis of the static structure on the geometric model according to the material distribution data to obtain first flexibility data of the guide wire to be detected in a theoretical state includes:
performing grid division on the geometric model to obtain a grid model of the guide wire to be detected, wherein the grid model comprises a guide wire core grid model, a guide head grid model and a hose grid model;
filling the unit cells in the guide wire core grid model based on the guide wire core material distribution data to obtain a first material grid model;
filling the cells in the guide head grid model based on the guide head material distribution data to obtain a second material grid model;
Filling the cells in the hose grid model based on the hose material distribution data to obtain a third material grid model;
the first material grid model, the second material grid model and the third material grid model form a model to be analyzed;
Carrying out finite element analysis on the model to be analyzed by loading a plurality of fixed loads respectively to obtain a plurality of groups of finite element analysis results, wherein each group of finite element analysis results corresponds to one fixed load respectively;
And determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on a plurality of groups of finite element analysis results, wherein each finite element analysis result corresponds to one first flexibility data respectively.
4. The guidewire compliance detection method of claim 3, wherein the finite element analysis results include displacement data and stress data for each cell, and wherein determining the plurality of first compliance data for the guidewire under theoretical conditions based on the plurality of sets of finite element analysis results comprises:
determining a compliance matrix corresponding to the finite element analysis result through the displacement data and the stress data;
and determining a plurality of first flexibility data of the guide wire to be detected in a theoretical state based on the flexibility matrixes corresponding to the finite element analysis results.
5. The method of claim 1, wherein a curved path is provided in the vessel simulation model, the guide wire to be detected passes through the curved path under a plurality of fixed loads, and the step of determining second compliance data of the guide wire to be detected under different fixed loads according to the dynamic simulation data comprises:
determining a bending amount sequence and a shaking amount sequence of the guide wire to be detected when the guide wire passes through a target path section aiming at each fixed load through the dynamic simulation data, wherein the target path section is a curved path containing a focus in one section of the curved path;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load according to the bending quantity sequence and the shaking quantity sequence.
6. The guidewire compliance detection method of claim 5, wherein the bend amount sequence comprises a bend ratio profile and a bend angle profile of the guidewire to be detected in the target path segment, and the shake amount sequence comprises an axis offset profile of the guidewire to be detected in the target path segment, the axis offset being an offset between a central axis of the guidewire to be detected and a central axis of the target path segment.
7. The method of guidewire compliance detection according to claim 6, wherein the step of determining second compliance data for the guidewire to be detected at each of the fixed loads based on the sequence of bending amounts and the sequence of jitter amounts comprises:
based on the bending rate distribution and the bending angle distribution, performing first normalization processing by adopting the fixed bending rate and the fixed bending angle of the target path section to obtain a bending quantity factor BF;
Based on the axis offset distribution, performing second normalization processing by adopting the average diameter of the target path segment to obtain a jitter factor VF;
and determining second flexibility data of the guide wire to be detected under the action of each fixed load based on the bending quantity factor BF and the shaking quantity factor VF.
8. The method of guidewire compliance detection according to claim 6, wherein the step of determining a compliance detection result of the guidewire to be detected based on the plurality of first compliance data and the plurality of second compliance data comprises:
carrying out correlation calculation on the first flexibility data and the second flexibility data under the same fixed load action to obtain correlation values under the fixed load action;
Calculating average correlation values under the action of all the fixed loads;
If the average correlation value is smaller than a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is not passing;
and if the average correlation value is greater than or equal to a preset correlation threshold, determining that the flexibility detection result of the guide wire to be detected is passing.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the guidewire compliance detection method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps in the guidewire compliance detection method according to any one of claims 1 to 7.
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