Control system for ablation of duodenum through pulsed electric field

Abstract

The invention relates to the field of medical physics, and discloses a control method and system for pulse electric field ablation of duodenum, and the method comprises the steps: determining a multi-target tissue, needing pulse electric field ablation, of the duodenum corresponding to a target user, collecting a target tissue image of the multi-target tissue, and constructing a multi-tissue three-dimensional model of the multi-target tissue; analyzing tissue parameters of the multi-target tissue, and analyzing electric field intensity and pulse parameters required for ablation of the multi-target tissue; multiple electrodes of the ablation equipment are configured, and multiple electrode implantation sites of the multiple electrodes are determined; constructing a digestive tract model from the corresponding oral cavity to the duodenum of a target user, analyzing an ideal transmission path of multiple electrodes, analyzing a path deviation coefficient of a simulation transmission path and the ideal transmission path, correcting the simulation transmission path, transmitting the multiple electrodes to a multi-electrode implantation site, and then performing multi-electrode implantation. And pulse electric field ablation of multi-target tissues is realized by utilizing multiple electrodes. The precise ablation effect of the pulsed electric field can be improved.

Description

Technical Field

[0001] The present invention relates to the field of medical physics, and in particular to a control method and system for pulse electric field ablation of the duodenum. Background Art

[0002] Pulsed electric field ablation is a technique that applies a non-thermal, high-voltage pulsed electric field to the target tissue, creating permanent electroporation on the cell membrane, leading to cell death. Pulsed electric field ablation of the duodenum can precisely control the ablation area and reduce damage to surrounding healthy tissue, thereby allowing targeted ablation of specific parts of the duodenum without affecting the function of the entire organ.

[0003] At present, the positioning control method for pulsed electric field ablation of the duodenum is only to use an endoscope for guided positioning. Due to the complex anatomical structure of the duodenum, this control method makes it difficult for the endoscope to reach or clearly observe certain areas, resulting in inaccurate positioning control, damage to surrounding non-target tissues, and affecting the ablation effect. Summary of the invention

[0004] The present invention provides a control method and system for pulse electric field ablation of the duodenum, the main purpose of which is to improve the effect of precise ablation of the pulse electric field.

[0005] To achieve the above object, the present invention provides a control method for pulsed electric field ablation of the duodenum, comprising:

[0006] Determine multiple target tissues that need to be subjected to pulsed electric field ablation in the duodenum of the target user, acquire target tissue images of the multiple target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multiple target tissues based on the registered images;

[0007] Analyzing tissue types of the multiple target tissues, analyzing tissue parameters of the multiple target tissues based on the tissue types, and analyzing electric field strengths and pulse parameters required for ablating the multiple target tissues based on the tissue parameters;

[0008] Acquire the ablation device for the pulse electric field ablation, configure multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model;

[0009] Constructing a digestive tract model from the mouth to the duodenum of the target user, analyzing the ideal transmission path of the multi-electrode based on the digestive tract model, constructing a mechanical electrode catheter of the multi-electrode, collecting dynamic parameters of the mechanical electrode catheter in real time, and performing path simulation on the mechanical electrode catheter based on the dynamic parameters using a preset path simulation algorithm to obtain a simulated transmission path;

[0010] The path deviation coefficients of the simulated transmission path and the ideal transmission path are analyzed, and based on the path deviation coefficients, the simulated transmission path is corrected to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, based on the mechanical electrode catheter, after the multi-electrode is transmitted to the multi-electrode implantation site, the multi-electrode is used to achieve pulse electric field ablation of multiple target tissues according to the pulse parameters.

[0011] Optionally, registering the target tissue image to obtain a registered image includes:

[0012] Preprocessing the target tissue image to obtain a preprocessed tissue image;

[0013] analyzing key indicators of the preprocessed tissue image, and dividing the preprocessed tissue image into a reference image and a source image based on the key indicators;

[0014] Constructing an image transformation model of the source image, analyzing transformation parameters of the image transformation model, and transforming the source image based on the transformation parameters to obtain a transformed source image;

[0015] The registration coefficient of the transformed source image and the reference image is calculated using the following formula:

[0016]

[0017] in, represents the registration coefficient of the transformed source image and the reference image, Represents the transformation source image Line The pixel value of the column, Represents the reference image Line The pixel value of the column, Indicates the number of pixels of the transformed source image, Indicates the number of pixels of the reference image;

[0018] When the registration coefficient is less than a preset registration coefficient threshold, the transformation parameter is optimized to obtain an optimized transformation parameter, and when the optimized transformation parameter is greater than or equal to the preset registration coefficient threshold, the optimized transformation parameter is used as the best transformation parameter;

[0019] Based on the optimal transformation parameters, transform the source image to obtain an optimal transformed original image;

[0020] The optimal source image and the reference image are aligned to obtain a registered image.

[0021] Optionally, analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters includes:

[0022] Based on the tissue parameters, extracting multi-target tissue radius, multi-target tissue thickness, multi-target tissue dielectric constant and multi-target tissue conductivity of the multi-target tissues;

[0023] Determining the electric field strength required for ablating the multiple target tissues according to the multiple target tissue dielectric constants and the multiple target tissue conductivity;

[0024] According to the electric field strength, the radius of the multi-target tissue, the thickness of the multi-target tissue, the dielectric constant of the multi-target tissue and the conductivity of the multi-target tissue, the pulse voltage required for ablating the multi-target tissue is calculated using the following formula:

[0025]

[0026] in, represents the pulse voltage, represents the electric field strength, represents the multi-target organization radius, represents the multi-target tissue thickness, is the dielectric constant in vacuum, represents the dielectric constant of multi-target tissue, Represents multi-target tissue conductivity;

[0027] Identifying ablation requirements of the multiple target tissues, and determining pulse widths, pulse frequencies, and pulse sequences of the multiple target tissues based on the ablation requirements and pulse voltages;

[0028] The pulse parameters required for ablating the multiple target tissues are determined based on the pulse voltage, pulse width, pulse frequency and pulse sequence.

[0029] Optionally, configuring the multiple electrodes of the ablation device based on the electric field strength and tissue parameters includes:

[0030] Based on the tissue parameters, determining the electrode material, electrode size and electrode shape of the ablation device;

[0031] Determining the number of electrodes of the ablation device according to the number of multiple target tissues corresponding to the tissue parameters;

[0032] configuring electrode sensors of the ablation device, and monitoring the real-time electric field strength and real-time temperature of the multiple target tissues based on the electrode sensors;

[0033] By using the real-time electric field strength and real-time temperature, an electrode safety mechanism of the ablation device is constructed;

[0034] The multiple electrodes of the ablation device are configured according to the electrode material, electrode size, electrode shape, electrode quantity and electrode safety mechanism.

[0035] Optionally, determining the multi-electrode implantation sites of the multi-electrodes based on the multi-tissue three-dimensional model comprises:

[0036] analyzing the three-dimensional state of the multi-tissue three-dimensional model;

[0037] Based on the three-dimensional state, determining a multi-electrode implantation range of the multi-electrode;

[0038] Identify the initial multi-electrode implantation point of the multi-electrode implantation range;

[0039] According to the three-dimensional state, analyzing the linear distances between the initial implantation points of the multiple electrodes and the corresponding multiple target tissues of the three-dimensional model of the multiple tissues;

[0040] Based on the straight-line distance, calculating the superimposed electric field strength of the multiple electrodes;

[0041] If the superimposed electric field strength does not meet the preset electric field strength threshold, after adjusting the implantation point position of the initial implantation point of the multi-electrode, return to the above-mentioned superimposed electromagnetic strength calculation step;

[0042] If the superimposed electric field strength meets the preset electric field strength threshold, the multi-electrode initial implantation point is used as the multi-electrode implantation site.

[0043] The step of constructing a digestive tract model from the mouth to the duodenum of the target user includes:

[0044] Using a preset medical imaging technology to collect image data from the target user's mouth to the duodenum;

[0045] Performing data cleaning on the image data to obtain cleaned image data;

[0046] Registering the cleaned image data to obtain registered image data;

[0047] Extracting geometric structural features of the target user from the oral cavity to the duodenum based on the registered image data;

[0048] A digestive tract model from the mouth to the duodenum of the target user is constructed according to the geometric structure features.

[0049] The multi-electrode mechanical electrode catheter is constructed, comprising:

[0050] Acquire simulation test results of the multi-electrode in a corresponding digestive tract model, and analyze performance requirements of the mechanical electrode catheter according to the simulation test results;

[0051] Based on the performance requirements, determining a catheter structure for constructing the mechanical electrode catheter, wherein the catheter structure includes: a catheter geometric frame and a catheter material;

[0052] Integrate the microcircuit and sensor of the mechanical electrode catheter; construct a real-time monitoring mechanism of the mechanical electrode catheter based on the microcircuit and sensor;

[0053] Arranging a transmission device of the mechanical electrode catheter, and constructing a propulsion mechanism of the mechanical electrode catheter based on the transmission device;

[0054] The multi-electrode electrode mechanical catheter is constructed according to the catheter structure, real-time monitoring mechanism and propulsion mechanism.

[0055] Based on the dynamic parameters, a preset path simulation algorithm is used to perform path simulation on the mechanical electrode catheter to obtain a simulated transmission path, including:

[0056] Based on the dynamic parameters, extracting a current position vector, a current velocity vector, and a current acceleration vector of the mechanical electrode catheter;

[0057] Calculating a future position vector of the mechanical electrode catheter based on the current position vector, the current velocity vector, and the current acceleration vector;

[0058] According to the previous position vector and the future position vector, a preset path simulation algorithm is used to perform path simulation on the mechanical electrode catheter to obtain a simulated transmission path.

[0059] The analyzing the path deviation coefficient between the simulated transmission path and the ideal transmission path includes:

[0060] Taking the same starting point corresponding to the simulated transmission path and the ideal transmission path as the origin of the three-dimensional coordinate system;

[0061] Based on the origin of the three-dimensional coordinate system, the simulated transmission path and the ideal transmission path are integrated in the same three-dimensional coordinate system to obtain a three-dimensional curve of the simulated path and a three-dimensional curve of the ideal path;

[0062] Calculating the three-dimensional coordinate difference between the three-dimensional curve of the simulation path and the three-dimensional curve of the ideal path;

[0063] Calculating the sum of the absolute values ​​of the three-dimensional coordinate differences;

[0064] Constructing a position deviation curve of the sum of the absolute values ​​of the differences;

[0065] Analyzing the fluctuation characteristics of the position deviation curve;

[0066] Based on the fluctuation characteristics, a path deviation coefficient between the simulated transmission path and the ideal transmission path is calculated.

[0067] In order to solve the above problems, the present invention also provides a control system for pulsed electric field ablation of the duodenum, the system comprising:

[0068] A tissue model construction module is used to determine the multi-target tissues that need to be ablated by pulsed electric field in the duodenum of the target user, collect target tissue images of the multi-target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multi-target tissues based on the registered images;

[0069] an ablation parameter determination module, configured to analyze tissue types of the multiple target tissues, analyze tissue parameters of the multiple target tissues based on the tissue types, and analyze electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters;

[0070] An electrode implantation position confirmation module is used to obtain the ablation device of the pulse electric field ablation, configure multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model;

[0071] a simulation path analysis module, used to construct a digestive tract model from the mouth to the duodenum of the target user, analyze the ideal transmission path of the multi-electrode based on the digestive tract model, construct a mechanical electrode catheter of the multi-electrode, collect dynamic parameters of the mechanical electrode catheter in real time, and perform path simulation on the mechanical electrode catheter based on the dynamic parameters using a preset path simulation algorithm to obtain a simulated transmission path;

[0072] The pulse electric field ablation module is used to analyze the path deviation coefficient of the simulated transmission path and the ideal transmission path, and based on the path deviation coefficient, correct the simulated transmission path to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, based on the mechanical electrode catheter, after the multi-electrode is transmitted to the multi-electrode implantation site, according to the pulse parameters, the multi-electrode is used to achieve pulse electric field ablation of multiple target tissues.

[0073] The embodiment of the present invention can make the images obtained by different imaging technologies correspond to each other by registering the target tissue images to obtain the registered images, thereby ensuring the consistency of spatial positioning; optionally, the embodiment of the present invention can intuitively display the spatial relationship and interaction between the multiple target tissues by constructing the multi-tissue three-dimensional model of the multiple target tissues based on the registered images, which is helpful to understand the interaction and influence between tissues; the embodiment of the present invention can more accurately predict the energy level required for ablation treatment by analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters, thereby improving the treatment efficiency; the embodiment of the present invention can optimize the configuration of the multiple electrodes by configuring the multiple electrodes of the ablation device based on the electric field strength and tissue parameters to achieve the best ablation effect; the embodiment of the present invention can determine the optimal electrode implantation position of the multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model, thereby optimizing the arrangement of the electrodes, ensuring that the electrodes can effectively ablate the target tissues while avoiding damage to the surrounding healthy tissues, and finally, the embodiment of the present invention can optimize and adjust the transmission path by analyzing the path deviation coefficient of the simulated transmission path and the ideal transmission path, thereby improving the transmission efficiency and quality. Therefore, the present invention can improve the effect of precise ablation of the pulsed electric field. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A schematic flow chart of a method for controlling pulsed electric field ablation of the duodenum provided in one embodiment of the present invention; Figure 2 A functional module diagram of a control system for pulsed electric field ablation of the duodenum provided by an embodiment of the present invention; The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0075] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0076] The embodiment of the present application provides a control method for pulsed electric field ablation of the duodenum. The execution subject of the control method for pulsed electric field ablation of the duodenum includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the control method for pulsed electric field ablation of the duodenum can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0077] Reference Figure 1 FIG. 1 is a flow chart of a control method for pulsed electric field ablation of the duodenum provided in an embodiment of the present invention. In this embodiment, the control method for pulsed electric field ablation of the duodenum includes: S1. Determine the multi-target tissues that need to be ablated by pulsed electric field in the duodenum of the target user, collect target tissue images of the multi-target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multi-target tissues based on the registered images.

[0078] The embodiment of the present invention can clarify the ablation target by determining the target user's corresponding multi-target tissues of the duodenum that need pulse electric field ablation, better formulate the ablation plan, and ensure the safety and effectiveness of ablation. The multi-target tissues refer to multiple tissue areas that need pulse ablation.

[0079] Optionally, as an embodiment of the present invention, the determination of the multiple target tissues of the duodenum that require pulsed electric field ablation by the target user may be confirmed through a comprehensive physical examination.

[0080] The embodiment of the present invention can provide a data basis for subsequent modeling by collecting target tissue images of the multiple target tissues, wherein the target tissue images refer to images obtained by various imaging techniques and can clearly display specific tissues.

[0081] Optionally, as an embodiment of the present invention, the target tissue images of the multiple target tissues may be acquired by using a variety of imaging techniques (such as CT, MRI, ultrasound, PET, SPECT, etc.).

[0082] The embodiment of the present invention can register the target tissue image to obtain a registered image, so that the images obtained by different imaging technologies correspond to each other, ensuring the consistency of spatial positioning. The registered image refers to an image generated by aligning multiple images obtained by different imaging devices or at different time points through image registration technology.

[0083] As an embodiment of the present invention, registering the target tissue image to obtain a registered image includes:

[0084] Preprocessing the target tissue image to obtain a preprocessed tissue image;

[0085] analyzing key indicators of the preprocessed tissue image, and dividing the preprocessed tissue image into a reference image and a source image based on the key indicators;

[0086] Constructing an image transformation model of the source image, analyzing transformation parameters of the image transformation model, and transforming the source image based on the transformation parameters to obtain a transformed source image;

[0087] The registration coefficient of the transformed source image and the reference image is calculated using the following formula:

[0088]

[0089] in, represents the registration coefficient of the transformed source image and the reference image, Represents the transformation source image Line The pixel value of the column, Represents the reference image Line The pixel value of the column, Indicates the number of pixels of the transformed source image, Indicates the number of pixels of the reference image;

[0090] When the registration coefficient is less than a preset registration coefficient threshold, the transformation parameter is optimized to obtain an optimized transformation parameter, and when the optimized transformation parameter is greater than or equal to the preset registration coefficient threshold, the optimized transformation parameter is used as the best transformation parameter;

[0091] Based on the optimal transformation parameters, transform the source image to obtain an optimal transformed original image;

[0092] The optimal source image and the reference image are aligned to obtain a registered image.

[0093] Among them, the preprocessed tissue image refers to the image obtained by performing a series of preprocessing steps on the target tissue image, such as grayscale normalization, filtering, window width and window position adjustment, etc. The key index refers to the important parameters used to evaluate the image quality and feature extraction effect in the process of image information extraction. The reference image is usually a standardized, high-quality image. The source image refers to the original image that needs to be registered with the reference image. The image transformation model refers to a mathematical model that describes the transformation relationship between the source image and the reference image. These transformations include rigid transformations (such as translation, rotation, scaling) and non-rigid transformations (such as deformation field, elastic deformation, etc.). The transformed source image refers to the image after the source image is transformed by applying the image transformation model. The registration coefficient is an indicator to measure the registration quality of the source image and the reference image. The transformation parameter refers to the parameter used to define the image transformation model. The preset registration coefficient threshold refers to a specific threshold set in the image registration process to determine the accuracy of the registration result. For example, the registration coefficient can be set to 0.9. The optimal transformation parameters refer to a set of transformation parameters that maximize the registration coefficient during the optimization process. The optimal transformed original image refers to an image obtained by transforming the source image using the optimal transformation parameters.

[0094] Optionally, the image transformation model for constructing the source image may be constructed by utilizing a B-spline basis function, where the B-spline basis function refers to a curve and surface representation method widely used in computer graphics and geometric modeling.

[0095] Optionally, the optimization of the transformation parameters of the image transformation model based on the registration coefficients may be iteratively optimized by a conjugate gradient method, where the conjugate gradient method refers to an iterative method for solving a system of linear equations in numerical analysis.

[0096] The embodiment of the present invention constructs a multi-tissue three-dimensional model of the multi-target tissue based on the registered image, which can intuitively display the spatial relationship and interaction between the multi-target tissues, and help understand the interaction and influence between the tissues. The multi-tissue three-dimensional model refers to a model that reconstructs and visualizes multiple tissue structures in a three-dimensional space.

[0097] Optionally, as an embodiment of the present invention, constructing the multi-tissue three-dimensional model of the multi-target tissues based on the registered image can be constructed by converting the registered image into a point cloud or a voxel grid in a three-dimensional space.

[0098] S2. Analyze tissue types of the multiple target tissues, analyze tissue parameters of the multiple target tissues based on the tissue types, and analyze electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters.

[0099] The embodiment of the present invention can better understand the types of multiple target tissues and formulate a more appropriate ablation plan by analyzing the tissue types of the multiple target tissues. The tissue types refer to the characteristics of cells and tissue structures observed from the multiple target tissue samples, and the tissue types are divided according to these characteristics.

[0100] Optionally, as an embodiment of the present invention, the tissue types of the multiple target tissues can be analyzed by analyzing gene expression patterns. The analysis of gene expression patterns refers to the process of how the expression levels of specific genes in the genomes of the multiple target tissues change over time, space or conditions under specific conditions.

[0101] Furthermore, the embodiment of the present invention can formulate a more appropriate ablation plan based on the analysis results of the tissue parameters by analyzing the tissue parameters of the multiple target tissues based on the tissue types. The tissue parameters refer to a series of values ​​or characteristics that describe tissue characteristics, such as cell density, conductivity of cell membranes, tissue structure, and tissue electrical properties.

[0102] Optionally, as an embodiment of the present invention, the tissue parameters of the multi-target tissues analyzed based on the tissue type can be analyzed by a molecular analysis method, which refers to a method of analyzing nucleic acids (DNA or RNA) in multi-target tissue samples using molecular biology technology.

[0103] The embodiment of the present invention can more accurately predict the energy level required for ablation treatment by analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters, thereby improving the treatment efficiency. The electric field strength refers to the magnitude of the electric force exerted on a unit positive charge. The pulse parameters refer to a series of parameters used to control the change of the electric field strength over time, and the pulse parameters include: pulse width, pulse frequency, pulse sequence and pulse voltage.

[0104] As an embodiment of the present invention, the step of analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters includes:

[0105] Based on the tissue parameters, extracting multi-target tissue radius, multi-target tissue thickness, multi-target tissue dielectric constant and multi-target tissue conductivity of the multi-target tissues;

[0106] Determining the electric field strength required for ablating the multiple target tissues according to the multiple target tissue dielectric constants and the multiple target tissue conductivity;

[0107] According to the electric field strength, the radius of the multi-target tissue, the thickness of the multi-target tissue, the dielectric constant of the multi-target tissue and the conductivity of the multi-target tissue, the pulse voltage required for ablating the multi-target tissue is calculated using the following formula:

[0108]

[0109] in, represents the pulse voltage, represents the electric field strength, represents the multi-target organization radius, represents the multi-target tissue thickness, is the dielectric constant in vacuum, represents the dielectric constant of multi-target tissue, Represents multi-target tissue conductivity;

[0110] Identifying ablation requirements of the multiple target tissues, and determining pulse widths, pulse frequencies, and pulse sequences of the multiple target tissues based on the ablation requirements and pulse voltages;

[0111] The pulse parameters required for ablating the multiple target tissues are determined based on the pulse voltage, pulse width, pulse frequency and pulse sequence.

[0112] Among them, the multi-target tissue dielectric constant refers to a parameter that describes the dielectric properties of the tissue and affects the propagation of the electric field in the tissue. The dielectric constant in a vacuum refers to the dielectric constant in a vacuum, and its value is: 8.85 x 10^-12 F / m. The multi-target tissue conductivity refers to the ability of the tissue to conduct electricity. The pulse voltage refers to the voltage that changes rapidly in a short period of time. The pulse width refers to the duration of a single pulse. The pulse frequency refers to the number of pulses per unit time. The pulse sequence refers to the arrangement and combination of a series of pulses, including different voltages, widths, frequencies and interval times.

[0113] S3. Acquire the ablation device for the pulse electric field ablation, configure multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model.

[0114] The embodiment of the present invention can adjust the pulse parameters and configure electrodes with different pulse parameters according to different tissues by obtaining the ablation device for pulse electric field ablation. The ablation device refers to a dedicated device for implementing pulse electric field ablation.

[0115] Furthermore, the embodiments of the present invention can optimize the configuration of the multiple electrodes of the ablation device based on the electric field strength and tissue parameters to achieve the best ablation effect. The multiple electrodes refer to the multiple electrodes used in the pulse electric field ablation device.

[0116] As an embodiment of the present invention, configuring the multiple electrodes of the ablation device based on the electric field strength and tissue parameters includes:

[0117] Based on the tissue parameters, determining the electrode material, electrode size and electrode shape of the ablation device;

[0118] Determining the number of electrodes of the ablation device according to the number of multiple target tissues corresponding to the tissue parameters;

[0119] configuring electrode sensors of the ablation device, and monitoring the real-time electric field strength and real-time temperature of the multiple target tissues based on the electrode sensors;

[0120] By using the real-time electric field strength and real-time temperature, an electrode safety mechanism of the ablation device is constructed;

[0121] The multiple electrodes of the ablation device are configured according to the electrode material, electrode size, electrode shape, electrode quantity and electrode safety mechanism.

[0122] Among them, the electrode material refers to the material used to make the electrode, which must have good electrical conductivity, biocompatibility and corrosion resistance, such as platinum, titanium, etc. The electrode size refers to parameters such as the diameter, length and surface area of ​​the electrode. These parameters will affect the size and shape of the ablation area. It is necessary to select a suitable electrode size according to the size of the tissue and the ablation requirements. The electrode shape refers to the shape of the electrode, such as round, square, spiral, etc. Different electrode shapes will affect the distribution and shape of the ablation area. It is necessary to select a suitable electrode shape according to the characteristics of the tissue. The electrode sensor refers to the sensor used to monitor the real-time electric field strength and real-time temperature to ensure the safety and effectiveness of the ablation process. It is necessary to select suitable sensor materials and layouts to achieve accurate monitoring. The electrode safety mechanism refers to a series of measures and designs taken during the use of the electrode to ensure the safety of operation and reduce potential risks.

[0123] Optionally, the electrode safety mechanism of the ablation device constructed by the real-time electric field strength and real-time temperature can be constructed by an emergency stop mechanism. The emergency stop mechanism means that during the multi-electrode ablation process, if an emergency occurs, such as excessive electrode electric field strength or overheating of the electrode, a mechanism should be provided to immediately stop ablation.

[0124] Furthermore, the embodiment of the present invention determines the optimal electrode implantation position of the multi-electrode implantation site based on the multi-tissue three-dimensional model, thereby optimizing the arrangement of the electrodes and ensuring that the electrodes can effectively ablate the target tissue while avoiding damage to surrounding healthy tissue. The multi-electrode implantation site refers to a position for positioning and inserting multiple electrodes.

[0125] As an embodiment of the present invention, determining the multi-electrode implantation sites of the multi-electrodes based on the multi-tissue three-dimensional model includes:

[0126] analyzing the three-dimensional state of the multi-tissue three-dimensional model;

[0127] Based on the three-dimensional state, determining a multi-electrode implantation range of the multi-electrode;

[0128] Identify the initial multi-electrode implantation point of the multi-electrode implantation range;

[0129] According to the three-dimensional state, analyzing the linear distances between the initial implantation points of the multiple electrodes and the corresponding multiple target tissues of the three-dimensional model of the multiple tissues;

[0130] Based on the straight-line distance, the superimposed electric field strength of the multiple electrodes is calculated using the following formula:

[0131] in, represents the superimposed electric field strength, Indicates the number of electrodes in the multi-electrode Electrodes, represents the total number of multi-electrodes, is the Coulomb constant, Indicates the number of electrodes in the multi-electrode The charge of each electrode, Indicates the number of electrodes in the multi-electrode The straight-line distance from each electrode to the corresponding target tissue in the multi-tissue 3D model;

[0132] If the superimposed electric field strength does not meet the preset electric field strength threshold, after adjusting the implantation point position of the initial implantation point of the multi-electrode, return to the above-mentioned superimposed electromagnetic strength calculation step;

[0133] If the superimposed electric field strength meets the preset electric field strength threshold, the multi-electrode initial implantation point is used as the multi-electrode implantation site.

[0134] Among them, the three-dimensional state refers to the spatial arrangement and relationship of tissues in the multi-tissue three-dimensional model, as well as their position and morphology in three-dimensional space, such as tissue position and tissue morphology. The multi-electrode implantation range refers to the effective spatial range of the multi-electrode implantation site in the multi-tissue three-dimensional model. The multi-electrode initial implantation point refers to the initial position for positioning and inserting multiple electrodes in the multi-electrode implantation range. The superimposed electric field strength refers to the total electric field strength of a point when multiple electric fields act on the same point at the same time in multiple electric fields. The Coulomb constant refers to a very important physical constant in electromagnetism. The multi-electrode adjustment implantation point refers to the multi-electrode implantation point adjusted according to the superimposed electric field strength. The preset electric field strength threshold refers to setting a specific electric field strength as a threshold for triggering an ablation reaction and avoiding damage to surrounding normal tissues when performing cell or tissue ablation.

[0135] Optionally, based on the multi-tissue three-dimensional model, the initial implantation points of the multi-electrodes can be determined preliminarily by analyzing the geometric distribution of the multi-target tissues corresponding to the multi-tissue three-dimensional model.

[0136] S4. Construct a digestive tract model from the mouth to the duodenum of the target user, analyze the ideal transmission path of the multi-electrode based on the digestive tract model, construct a mechanical electrode catheter of the multi-electrode, collect the dynamic parameters of the mechanical electrode catheter in real time, and use a preset path simulation algorithm to simulate the path of the mechanical electrode catheter based on the dynamic parameters to obtain a simulated transmission path. The embodiment of the present invention can effectively plan the transmission path of the multi-electrode by constructing a digestive tract model from the mouth to the duodenum of the target user. The digestive tract model refers to a digital model constructed by obtaining the geometric structure, anatomical features and physiological parameters of the digestive tract from the mouth to the duodenum of the target user.

[0137] As an embodiment of the present invention, the step of constructing a digestive tract model from the mouth to the duodenum of the target user includes:

[0138] Using a preset medical imaging technology to collect image data from the target user's mouth to the duodenum;

[0139] Performing data cleaning on the image data to obtain cleaned image data;

[0140] Registering the cleaned image data to obtain registered image data;

[0141] Extracting geometric structural features of the target user from the oral cavity to the duodenum based on the registered image data;

[0142] A digestive tract model from the mouth to the duodenum of the target user is constructed according to the geometric structure features.

[0143] Among them, the geometric structure features refer to the spatial arrangement, size and shape of different organs in the target user from the mouth to the duodenum and other tissue structure features. The image data refers to the image data from the mouth to the duodenum of the target user obtained by medical imaging technology (such as CT, MRI). These data usually exist in the form of two-dimensional images, showing the internal structure and tissue of the human body. The registered image data refers to the image data after registration. The purpose of registration is to align images acquired at different time points or different imaging modalities into a common coordinate system for easy analysis and fusion.

[0144] Optionally, the registration of the influencing data may be performed through multimodal image registration, wherein the multimodal image registration refers to registering images from different imaging modalities (such as CT, MRI, PET, ultrasound, etc.) so that they can be compared and analyzed in a unified coordinate system.

[0145] The embodiment of the present invention can ensure that the electrodes can accurately reach the predetermined position by analyzing the ideal transmission path of the multiple electrodes based on the digestive tract model, thereby improving the accuracy of ablation. The ideal transmission path refers to the optimal path of the multiple electrodes from the starting point to the final implantation site obtained by analyzing the digestive tract model.

[0146] Optionally, as an embodiment of the present invention, the analysis of the ideal transmission path of the multi-electrodes based on the digestive tract model can be performed by performing a simulation test on the digestive tract model.

[0147] The embodiment of the present invention can precisely control the position and direction of the electrodes by constructing the multi-electrode mechanical electrode catheter, so that the electrodes can accurately reach the multi-target tissue areas. The mechanical electrode catheter refers to a catheter comprising multiple electrodes for transmitting electrical signals during ablation.

[0148] As an embodiment of the present invention, the construction of the multi-electrode mechanical electrode catheter includes:

[0149] Acquire simulation test results of the multi-electrode in a corresponding digestive tract model, and analyze performance requirements of the mechanical electrode catheter according to the simulation test results;

[0150] Based on the performance requirements, determining a catheter structure for constructing the mechanical electrode catheter, wherein the catheter structure includes: a catheter geometric frame and a catheter material;

[0151] Integrate the microcircuit and sensor of the mechanical electrode catheter; construct a real-time monitoring mechanism of the mechanical electrode catheter based on the microcircuit and sensor;

[0152] Arranging a transmission device of the mechanical electrode catheter, and constructing a propulsion mechanism of the mechanical electrode catheter based on the transmission device;

[0153] The multi-electrode electrode mechanical catheter is constructed according to the catheter structure, real-time monitoring mechanism and propulsion mechanism.

[0154] Among them, the performance requirements refer to the performance indicators that the catheter needs to meet, such as the flexibility, strength, conductivity, biocompatibility, and manipulability of the catheter. The catheter geometric framework refers to the geometric framework designed to adapt to the complex structure of the digestive tract and the application requirements of the catheter, such as inner diameter, outer diameter, length, bending radius, etc. The catheter material refers to the material selected to meet the performance requirements, such as polymers, stainless steel, titanium alloys, etc. The microcircuit refers to the circuit used to transmit and receive signals and control the electrodes of the catheter. The sensor refers to a device used to monitor the position, speed, acceleration and other parameters of the catheter, as well as the contact force between the catheter and the wall of the digestive tract, such as an optical sensor, a speed sensor, an acceleration sensor, a contact force sensor, etc. The real-time monitoring mechanism refers to a mechanism for processing and displaying sensor data and controlling the operation of the catheter based on the data transmitted by the sensor. The transmission device refers to a mechanical device used to transmit and convert power and motion, such as a motor, a gear box, a screw, etc. The propulsion mechanism refers to a mechanism used to control the advancement and retreat of the catheter in the digestive tract and adjust the advancement direction of the catheter.

[0155] Optionally, the performance requirements of the mechanical electrode catheter can be analyzed based on the simulation test results of the multi-electrode in the corresponding digestive tract model by a multi-physics coupling simulation technique, wherein the multi-physics coupling simulation is a simulation method that simultaneously considers and simulates the interaction of two or more physical fields (such as structural mechanics, thermodynamics, electromagnetic fields, fluid dynamics, etc.).

[0156] The embodiment of the present invention can accurately control the movement of the catheter by real-time acquisition of the dynamic parameters of the mechanical electrode catheter, thereby improving the accuracy and efficiency of ablation. The dynamic parameters refer to a series of parameters that the mechanical electrode catheter monitors in real time during operation, such as position parameters, speed parameters, acceleration parameters, and forward direction parameters.

[0157] Optionally, as an embodiment of the present invention, the real-time acquisition of the dynamic parameters of the mechanical electrode catheter may be acquired through a real-time monitoring mechanism corresponding to the mechanical electrode catheter.

[0158] Furthermore, the embodiment of the present invention uses a preset path simulation algorithm to simulate the path of the mechanical electrode catheter based on the dynamic parameters, and the obtained simulated transmission path can guide the advancement of the catheter in actual operation to ensure that the catheter can reach the target position safely and effectively. Among them, the preset path simulation algorithm refers to a series of predefined calculation methods and rules, such as dynamic programming algorithms, rule-based algorithms, etc., to simulate and predict the motion trajectory and behavior of the mechanical electrode catheter in the digestive tract to ensure that the catheter can reach the target position safely and accurately. The simulated transmission path refers to a virtual path used to describe the movement of the mechanical electrode catheter in the simulated digestive tract. This path reflects the motion trajectory that the catheter may experience in actual operation, including forward movement, turning, obstacle avoidance and other actions.

[0159] As an embodiment of the present invention, based on the dynamic parameters, using a preset path simulation algorithm to perform path simulation on the mechanical electrode catheter to obtain a simulated transmission path includes:

[0160] Based on the dynamic parameters, extracting a current position vector, a current velocity vector, and a current acceleration vector of the mechanical electrode catheter;

[0161] Based on the current position vector, the current velocity vector and the current acceleration vector, the future position vector of the mechanical electrode catheter is calculated using the following formula:

[0162]

[0163]

[0164]

[0165] in, represents the future position vector, represents the current position vector, Indicates that the mechanical electrode lead is The position on the axis, Indicates that the mechanical electrode lead is The position on the axis, Indicates that the mechanical electrode lead is The position on the axis, represents the current velocity vector, Indicates that the mechanical electrode lead is The speed of the axis, Indicates that the mechanical electrode lead is The speed of the axis, Indicates that the mechanical electrode lead is The speed of the axis, represents the movement time of the mechanical electrode catheter, represents the current acceleration vector, Indicates that the mechanical electrode lead is The acceleration on the axis, Indicates that the mechanical electrode lead is The acceleration on the axis, Indicates that the mechanical electrode lead is Acceleration on the axis;

[0166] According to the previous position vector and the future position vector, a preset path simulation algorithm is used to perform path simulation on the mechanical electrode catheter to obtain a simulated transmission path.

[0167] The current position vector refers to a vector of the current three-dimensional spatial position of the mechanical electrode catheter. The current velocity vector refers to the current velocity magnitude and direction of the mechanical electrode catheter. The current acceleration vector refers to the current acceleration magnitude and direction of the mechanical electrode catheter. The movement time period refers to the time of movement of the mechanical electrode catheter. The future position refers to a vector predicting the future three-dimensional spatial position of the mechanical electrode catheter.

[0168] S5. Analyze the path deviation coefficient of the simulated transmission path and the ideal transmission path, and based on the path deviation coefficient, correct the simulated transmission path to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, based on the mechanical electrode catheter, after transmitting the multi-electrode to the multi-electrode implantation site, according to the pulse parameters, use the multi-electrode to achieve pulse electric field ablation of multiple target tissues.

[0169] The embodiment of the present invention can optimize and adjust the transmission path and improve the transmission efficiency and quality by analyzing the path deviation coefficient of the simulated transmission path and the ideal transmission path. The path deviation refers to a numerical measure of the difference between the simulated transmission path and the ideal transmission path, which is used to quantify the difference between the simulated transmission path and the ideal transmission path.

[0170] As an embodiment of the present invention, the analyzing the path deviation coefficient between the simulated transmission path and the ideal transmission path includes:

[0171] Taking the same starting point corresponding to the simulated transmission path and the ideal transmission path as the origin of the three-dimensional coordinate system;

[0172] Based on the origin of the three-dimensional coordinate system, the simulated transmission path and the ideal transmission path are integrated in the same three-dimensional coordinate system to obtain a three-dimensional curve of the simulated path and a three-dimensional curve of the ideal path;

[0173] Calculating the three-dimensional coordinate difference between the three-dimensional curve of the simulation path and the three-dimensional curve of the ideal path;

[0174] The sum of the absolute values ​​of the three-dimensional coordinate differences is calculated using the following formula:

[0175]

[0176] in, represents the sum of the absolute values ​​of the differences, Indicates the horizontal coordinate of the real-time position corresponding to the simulated transmission path, Indicates the horizontal coordinate of the real-time position corresponding to the ideal transmission path, Indicates the vertical coordinate of the real-time position corresponding to the simulated transmission path, Indicates the vertical coordinate of the real-time position corresponding to the ideal transmission path, Indicates the depth coordinate of the simulated transmission path corresponding to the real-time position. Indicates the depth coordinate of the real-time position corresponding to the ideal transmission path;

[0177] Constructing a position deviation curve of the sum of the absolute values ​​of the differences;

[0178] Analyzing the fluctuation characteristics of the position deviation curve;

[0179] Based on the fluctuation characteristics, a path deviation coefficient between the simulated transmission path and the ideal transmission path is calculated.

[0180] Among them, the origin of the three-dimensional coordinate system refers to the same starting point corresponding to the simulated transmission path and the ideal transmission path. The simulated path curve refers to the three-dimensional curve established in the three-dimensional coordinate system with the three-dimensional coordinate line as the origin of the simulated output path. The ideal path curve refers to the three-dimensional curve established in the three-dimensional coordinate system with the three-dimensional coordinate line as the origin of the ideal output path. The three-dimensional coordinate difference refers to the difference between the coordinate values ​​of the simulated path and the ideal path at a specific point in the three-dimensional coordinate system. The sum of the absolute values ​​of the differences refers to adding the absolute values ​​of all components of the above three-dimensional coordinate differences to obtain a total deviation. The fluctuation characteristics refer to the change pattern and characteristics of the curve of concern when analyzing the path deviation curve.

[0181] Optionally, as another embodiment of the present invention, the analyzing the fluctuation characteristics of the position deviation curve includes:

[0182] The fluctuation amplitude of the position deviation curve is calculated using the following formula:

[0183]

[0184] in, Indicates the fluctuation range, Indicates the total number of vertical axis positions. Indicates The vertical axis position, Indicates The sum of the absolute values ​​of the differences corresponding to the vertical coordinate axis positions, Represents the average value of the sum of the absolute values ​​of the differences corresponding to all vertical coordinate axis positions;

[0185] identifying a frequency pattern of the position deviation curve, and determining a fluctuation frequency of the position deviation curve based on the frequency pattern;

[0186] The frequency characteristic of the position deviation curve is determined according to the fluctuation amplitude and the fluctuation frequency.

[0187] The fluctuation amplitude refers to the maximum deviation of the wave. The frequency pattern refers to a set of repeated frequency components in the frequency domain, which may be expressed as periodic fluctuations in the time domain. The fluctuation frequency refers to the frequency of periodic fluctuations that appear in the deviation curve.

[0188] Furthermore, the embodiment of the present invention corrects the simulated transmission path based on the path deviation coefficient to obtain a corrected simulated transmission path that can accurately guide the mechanical electrode catheter to move along the ideal transmission path, ensuring accurate access to multiple target tissues. The corrected simulated transmission path refers to a corrected inverse transmission path obtained by adjusting the motion parameters of the mechanical electrode catheter.

[0189] Optionally, as an embodiment of the present invention, based on the path deviation coefficient, the simulated transmission path is corrected to obtain a corrected simulated transmission path, and the simulated transmission path can be corrected by adjusting the motion parameters in the propulsion system corresponding to the mechanical electrode catheter.

[0190] The embodiment of the present invention can ensure that the electrodes accurately reach the predetermined multi-electrode implantation site during the transmission process and reduce errors by transmitting the multi-electrode to the multi-electrode implantation site based on the mechanical electrode catheter when the corrected simulated transmission path is consistent with the ideal transmission path.

[0191] The embodiment of the present invention can achieve precise ablation of target tissues by using the multiple electrodes to achieve pulse electric field ablation of multiple target tissues according to the pulse parameters, avoid damage to surrounding tissues, and improve ablation effects.

[0192] Optionally, the pulse electric field ablation of multiple target tissues using the multiple electrodes according to the pulse parameters can achieve precise ablation of multiple target tissues by precisely controlling the pulse parameters by ablation devices corresponding to the multiple electrodes.

[0193] The embodiment of the present invention can make the images obtained by different imaging technologies correspond to each other by registering the target tissue images to obtain the registered images, thereby ensuring the consistency of spatial positioning; optionally, the embodiment of the present invention can intuitively display the spatial relationship and interaction between the multiple target tissues by constructing the multi-tissue three-dimensional model of the multiple target tissues based on the registered images, which is helpful to understand the interaction and influence between tissues; the embodiment of the present invention can more accurately predict the energy level required for ablation treatment by analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters, thereby improving the treatment efficiency; the embodiment of the present invention can optimize the configuration of the multiple electrodes by configuring the multiple electrodes of the ablation device based on the electric field strength and tissue parameters to achieve the best ablation effect; the embodiment of the present invention can determine the optimal electrode implantation position of the multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model, thereby optimizing the arrangement of the electrodes, ensuring that the electrodes can effectively ablate the target tissues while avoiding damage to the surrounding healthy tissues, and finally, the embodiment of the present invention can optimize and adjust the transmission path by analyzing the path deviation coefficient of the simulated transmission path and the ideal transmission path, thereby improving the transmission efficiency and quality. Therefore, the present invention can improve the effect of precise ablation of the pulsed electric field.

[0194] like Figure 2 , which is a functional module diagram of a control system for pulsed electric field ablation of the duodenum provided by an embodiment of the present invention.

[0195] The control system 200 for pulsed electric field ablation of the duodenum of the present invention can be installed in an electronic device. According to the functions to be implemented, the control system 200 for pulsed electric field ablation of the duodenum can include a tissue model building module 201, an ablation parameter determination module 202, an electrode implantation position confirmation module 203, a simulation path analysis module 204 and a pulsed electric field ablation module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0196] In this embodiment, the functions of each module / unit are as follows:

[0197] The tissue model construction module 201 is used to determine the multiple target tissues of the target user corresponding to the duodenum that need to be subjected to pulsed electric field ablation, collect target tissue images of the multiple target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multiple target tissues based on the registered images;

[0198] The ablation parameter determination module 202 is used to analyze tissue types of the multiple target tissues, analyze tissue parameters of the multiple target tissues based on the tissue types, and analyze electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters;

[0199] The electrode implantation position confirmation module 203 is used to obtain the ablation device of the pulse electric field ablation, configure the multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine the multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model;

[0200] The simulation path analysis module 204 is used to construct a digestive tract model from the mouth to the duodenum of the target user, analyze the ideal transmission path of the multi-electrode based on the digestive tract model, construct the multi-electrode mechanical electrode catheter, collect the dynamic parameters of the mechanical electrode catheter in real time, and perform path simulation on the mechanical electrode catheter based on the dynamic parameters using a preset path simulation algorithm to obtain a simulated transmission path;

[0201] The pulse electric field ablation module 205 is used to analyze the path deviation coefficient between the simulated transmission path and the ideal transmission path, and based on the path deviation coefficient, correct the simulated transmission path to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, based on the mechanical electrode catheter, after the multi-electrode is transmitted to the multi-electrode implantation site, according to the pulse parameters, the multi-electrode is used to achieve pulse electric field ablation of multiple target tissues.

[0202] In the several embodiments provided by the present invention, it should be understood that the provided system and method can be implemented in other ways. For example, the system embodiment described above is only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0203] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0204] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A control method for pulsed electric field ablation of the duodenum, characterized in that: The method comprises: Determine multiple target tissues that need to be subjected to pulsed electric field ablation in the duodenum of the target user, acquire target tissue images of the multiple target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multiple target tissues based on the registered images; Analyzing tissue types of the multiple target tissues, analyzing tissue parameters of the multiple target tissues based on the tissue types, and analyzing electric field strengths and pulse parameters required for ablating the multiple target tissues based on the tissue parameters; Acquire the ablation device for the pulse electric field ablation, configure multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model; Constructing a digestive tract model from the mouth to the duodenum of the target user, analyzing the ideal transmission path of the multi-electrode based on the digestive tract model, constructing a mechanical electrode catheter of the multi-electrode, collecting dynamic parameters of the mechanical electrode catheter in real time, and performing path simulation on the mechanical electrode catheter based on the dynamic parameters using a preset path simulation algorithm to obtain a simulated transmission path; The path deviation coefficients of the simulated transmission path and the ideal transmission path are analyzed, and based on the path deviation coefficients, the simulated transmission path is corrected to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, based on the mechanical electrode catheter, after the multi-electrode is transmitted to the multi-electrode implantation site, the multi-electrode is used to achieve pulse electric field ablation of multiple target tissues according to the pulse parameters.

2. The method for controlling pulsed electric field ablation of the duodenum according to claim 1, characterized in that: The registering the target tissue image to obtain a registered image includes: Preprocessing the target tissue image to obtain a preprocessed tissue image; analyzing key indicators of the preprocessed tissue image, and dividing the preprocessed tissue image into a reference image and a source image based on the key indicators; Constructing an image transformation model of the source image, analyzing transformation parameters of the image transformation model, and transforming the source image based on the transformation parameters to obtain a transformed source image; Calculating the registration coefficients of the transformed source image and the reference image; When the registration coefficient is less than a preset registration coefficient threshold, the transformation parameter is optimized to obtain an optimized transformation parameter, and when the optimized transformation parameter is greater than or equal to the preset registration coefficient threshold, the optimized transformation parameter is used as the best transformation parameter; Based on the optimal transformation parameters, transform the source image to obtain an optimal transformed original image; The optimal source image and the reference image are aligned to obtain a registered image.

3. The method for controlling pulsed electric field ablation of the duodenum according to claim 1, characterized in that: The step of analyzing the electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters includes: Based on the tissue parameters, extracting multi-target tissue radius, multi-target tissue thickness, multi-target tissue dielectric constant and multi-target tissue conductivity of the multi-target tissues; Determining the electric field strength required for ablating the multiple target tissues according to the multiple target tissue dielectric constants and the multiple target tissue conductivity; Calculating the pulse voltage required for ablating the multiple target tissues according to the electric field strength, the multiple target tissue radius, the multiple target tissue thickness, the multiple target tissue dielectric constant and the multiple target tissue conductivity; Identifying ablation requirements of the multiple target tissues, and determining pulse widths, pulse frequencies, and pulse sequences of the multiple target tissues based on the ablation requirements and pulse voltages; The pulse parameters required for ablating the multiple target tissues are determined based on the pulse voltage, pulse width, pulse frequency and pulse sequence.

4. The method for controlling pulsed electric field ablation of the duodenum according to claim 1, characterized in that: The configuring of the multiple electrodes of the ablation device based on the electric field strength and tissue parameters comprises: Based on the tissue parameters, determining the electrode material, electrode size and electrode shape of the ablation device; Determining the number of electrodes of the ablation device according to the number of multiple target tissues corresponding to the tissue parameters; configuring electrode sensors of the ablation device, and monitoring the real-time electric field strength and real-time temperature of the multiple target tissues based on the electrode sensors; By using the real-time electric field strength and real-time temperature, an electrode safety mechanism of the ablation device is constructed; The multiple electrodes of the ablation device are configured according to the electrode material, electrode size, electrode shape, electrode quantity and electrode safety mechanism.

5. The method for controlling pulsed electric field ablation of the duodenum according to claim 1, characterized in that: Determining the multi-electrode implantation sites of the multi-electrodes based on the multi-tissue three-dimensional model comprises: analyzing the three-dimensional state of the multi-tissue three-dimensional model; Based on the three-dimensional state, determining a multi-electrode implantation range of the multi-electrode; Identify the initial multi-electrode implantation point of the multi-electrode implantation range; According to the three-dimensional state, analyzing the linear distances between the initial implantation points of the multiple electrodes and the corresponding multiple target tissues of the three-dimensional model of the multiple tissues; Based on the straight-line distance, calculating the superimposed electric field strength of the multiple electrodes; If the superimposed electric field strength does not meet the preset electric field strength threshold, after adjusting the implantation point position of the multi-electrode initial implantation point, return to the above-mentioned superimposed electromagnetic intensity calculation step; If the superimposed electric field strength meets the preset electric field strength threshold, the multi-electrode initial implantation point is used as the multi-electrode implantation site.

6. The method for controlling pulsed electric field ablation of duodenum according to claim 1, characterized in that: The step of constructing a digestive tract model from the mouth to the duodenum of the target user includes: Using a preset medical imaging technology to collect image data from the target user's mouth to the duodenum; Performing data cleaning on the image data to obtain cleaned image data; Registering the cleaned image data to obtain registered image data; Extracting geometric structural features of the target user from the oral cavity to the duodenum based on the registered image data; A digestive tract model from the mouth to the duodenum of the target user is constructed according to the geometric structure features.

7. The method for controlling pulsed electric field ablation of duodenum according to claim 1, characterized in that: The multi-electrode mechanical electrode catheter is constructed, comprising: Acquire simulation test results of the multi-electrode in a corresponding digestive tract model, and analyze performance requirements of the mechanical electrode catheter according to the simulation test results; Based on the performance requirements, determining a catheter structure for constructing the mechanical electrode catheter, wherein the catheter structure includes: a catheter geometric frame and a catheter material; Integrate the microcircuit and sensor of the mechanical electrode catheter; construct a real-time monitoring mechanism of the mechanical electrode catheter based on the microcircuit and sensor; Arranging a transmission device of the mechanical electrode catheter, and constructing a propulsion mechanism of the mechanical electrode catheter based on the transmission device; The multi-electrode electrode mechanical catheter is constructed according to the catheter structure, real-time monitoring mechanism and propulsion mechanism.

8. The method for controlling pulsed electric field ablation of duodenum according to claim 1, characterized in that: The method of performing path simulation on the mechanical electrode catheter based on the dynamic parameters using a preset path simulation algorithm to obtain a simulated transmission path includes: Based on the dynamic parameters, extracting a current position vector, a current velocity vector, and a current acceleration vector of the mechanical electrode catheter; Calculating a future position vector of the mechanical electrode catheter based on the current position vector, the current velocity vector, and the current acceleration vector; According to the previous position vector and the future position vector, a preset path simulation algorithm is used to perform path simulation on the mechanical electrode catheter to obtain a simulated transmission path.

9. The method for controlling pulsed electric field ablation of duodenum according to claim 1, characterized in that: The analyzing the path deviation coefficient between the simulated transmission path and the ideal transmission path includes: Taking the same starting point corresponding to the simulated transmission path and the ideal transmission path as the origin of the three-dimensional coordinate system; Based on the origin of the three-dimensional coordinate system, the simulated transmission path and the ideal transmission path are integrated in the same three-dimensional coordinate system to obtain a three-dimensional curve of the simulated path and a three-dimensional curve of the ideal path; Calculating the three-dimensional coordinate difference between the simulated path three-dimensional curve and the ideal path three-dimensional curve; Calculating the sum of the absolute values ​​of the three-dimensional coordinate differences; Constructing a position deviation curve of the sum of the absolute values ​​of the differences; Analyzing the fluctuation characteristics of the position deviation curve; Based on the fluctuation characteristics, a path deviation coefficient between the simulated transmission path and the ideal transmission path is calculated.

10. A control system for pulsed electric field ablation of duodenum, characterized in that: A control method for executing pulsed electric field ablation of the duodenum as claimed in any one of claims 1 to 9, the system comprising: A tissue model construction module is used to determine the multi-target tissues that need to be ablated by pulsed electric field in the duodenum of the target user, collect target tissue images of the multi-target tissues, register the target tissue images to obtain registered images, and construct a multi-tissue three-dimensional model of the multi-target tissues based on the registered images; an ablation parameter determination module, configured to analyze tissue types of the multiple target tissues, analyze tissue parameters of the multiple target tissues based on the tissue types, and analyze electric field strength and pulse parameters required for ablating the multiple target tissues based on the tissue parameters; An electrode implantation position confirmation module is used to obtain the ablation device of the pulse electric field ablation, configure multiple electrodes of the ablation device based on the electric field strength and tissue parameters, and determine multiple electrode implantation sites of the multiple electrodes based on the multi-tissue three-dimensional model; A pulsed electric field ablation module is used to construct a digestive tract model from the mouth to the duodenum of the target user, analyze the ideal transmission path of the multi-electrode based on the digestive tract model, construct a mechanical electrode catheter of the multi-electrode, collect dynamic parameters of the mechanical electrode catheter in real time, and simulate the path of the mechanical electrode catheter using a preset path simulation algorithm based on the dynamic parameters to obtain a simulated transmission path, analyze the path deviation coefficient between the simulated transmission path and the ideal transmission path, and correct the simulated transmission path based on the path deviation coefficient to obtain a corrected simulated transmission path. When the corrected simulated transmission path is consistent with the ideal transmission path, after transmitting the multi-electrode to the multi-electrode implantation site based on the mechanical electrode catheter, the multi-electrode is used to achieve pulsed electric field ablation of multiple target tissues according to the pulse parameters.

Images