Brain tumor treatment electrode patch orientation optimization method

Abstract

The invention discloses a brain tumor treatment electrode patch orientation optimization method. The method comprises the following steps: S1, measuring a real head model through magnetic resonance imaging (MRI); s2, determining a head tumor position, and establishing a head three-dimensional model; s3, generating position coordinates of a to-be-determined patch through an algorithm; s4, performing simulation test on the to-be-determined position to observe the treatment effect; s5, the vertex information is converted into the head position of the patient; center points of all patch positions of a generated electrode patch array are marked obviously in three-dimensional software, rectangles for simulating electrode patch attachment are reserved, cameras are placed in five directions of the front, the back, the left and the right of a patient model to shoot pictures, and the pictures and simulation results are output together. The method for optimizing the position of the brain tumor treatment electrode patch is high in result credibility and high in customizable degree, and a new scheme is provided for optimizing the position of the brain tumor treatment electrode patch through nuclear magnetic resonance scanning, blender three-dimensional reconstruction and comsol simulation testing.

Description

Technical Field

[0001] The invention belongs to the field of three-dimensional modeling and medical processing technology, and relates to a method for optimizing the orientation of an electrode patch for treating a brain tumor. Background Art

[0002] Brain tumors are divided into two types: primary and secondary. Primary refers to tumors that occur in the brain, and secondary refers to tumors that occur in other organs and then metastasize to the brain. Among them, primary brain tumors are more common and are gliomas caused by brain glial cells. The World Health Organization (WHO) divides brain gliomas into four levels according to the canceration of gliomas. Among them, well-differentiated low-grade gliomas (LGG) are grades I and II, and high-grade gliomas (HGG) are grades III and IV. Brain gliomas have high morbidity and mortality rates, are prone to recurrence, and have low cure rates.

[0003] At present, the use of electric fields and currents to treat neurological disorders and brain diseases has become common. The patent with application number 202010256375.X proposes a method of extracting texture features and shape features of CT images with the help of neural networks, obtaining the coordinate position of the tumor, and using a neural network algorithm to obtain more accurate electrode patch positioning. This technical solution can form an optimal electric field solution at the tumor site and optimize the treatment effect. The patent with application number CN202111127960.0 integrates medical data, tumor identification, stereo calibration and patch positioning modules, and details how each module is implemented, improving a series of process methods for brain tumor treatment.

[0004] Blender is an open source 3D software that can be used for modeling, animation, rendering, editing and other functions. It is an excellent carrier for reconstructing the head model of a brain tumor patient. Comsol is a general simulation software based on advanced numerical methods, supporting single physical field and multi-physical field coupling simulation, and realizing a complete simulation process in the same interface.

[0005] It can be seen that the method of using electric field current to treat brain tumors is becoming more and more mature, but the current method does not take into account the patient's possible head injuries, nor does it take into account the existence of multiple electrode patch arrays, that is, it is not limited to 4 electrode patches; in addition, there are relatively few attempts to combine 3D software such as Blender with simulation software such as Comsol in the field of brain tumor treatment. Summary of the invention

[0006] In order to overcome the shortcomings of the existing technology, the present invention provides a method for optimizing the orientation of electrode patches for brain tumor treatment with high credibility and high customizability. Magnetic resonance imaging (MRI) scanning, blender 3D reconstruction and comsol simulation testing are used to provide a new solution for optimizing the orientation of electrode patches for brain tumor treatment.

[0007] The technical solution adopted by the present invention to solve its technical problem is:

[0008] A method for optimizing the position of an electrode patch for treating a brain tumor comprises the following steps:

[0009] S1, MRI measurement of real head model;

[0010] S2, determine the location of the head tumor and establish a three-dimensional model of the head;

[0011] S3, the algorithm generates the coordinates of the patch position to be determined;

[0012] S4, perform simulation test on the predetermined position to observe the treatment effect;

[0013] S5. Convert the vertex information to the position of the patient's head. Mark the center points of all the patch positions of the generated electrode patch array in the 3D software, retain the rectangle of the simulated electrode patch fitting, place cameras in 5 directions (front, back, left, right, and top) of the patient model to take pictures, and output the pictures together with the simulation results.

[0014] Furthermore, in step S1, MRI measurement values ​​are received through a standard medical digital imaging and communication browser. The MRI measurement includes one or more head size measurements and tumor measurements to obtain accurate head parameters and tumor locations. One or more MRI measurement values ​​can be rounded to the nearest millimeter and provided to the software for analysis and modeling. During the MRI scan, it is determined whether the patient's head is injured. If there is an obvious wound that does not support the fitting of the electrode patch, the location is marked in the imaging.

[0015] Preferably, the MRI measurement includes one or more head size measurements, such as the anterior-posterior diameter of the head, the left-right diameter of the head, the distance from the top of the head to the lower edge of the temporal lobe, the left-right diameter of the coronal position, and the distance from the top of the head to the lowest edge of the brain; the MRI measurement includes one or more tumor measurements, including tumor position measurements or coronal view tumor measurements; the MRI measurement includes one or more head parameter measurements.

[0016] Furthermore, in step S2, the MRI measurement values ​​are used in the 3D modeling software to generate a patient model to determine the subsequent electrode patch three-dimensional array diagram; the tumor is segmented from one or more tumor measurement MRI data, the tumor location is obtained, and the location is marked in the patient model; at the same time, important wounds are marked on the patient model as restricted areas for subsequent algorithm generation; the generated patient model is tilted forward so that the plane from the brow bone to the bottom of the back of the head is parallel to the xoy plane of the original coordinate system, and then the height is adjusted to ensure that the plane coincides with the xoy plane to determine the basic coordinate system.

[0017] Preferably, the forward tilt angle of the patient's head model is set to 20°, which ensures that the plane from the brow bone to the bottom of the back of the head is parallel to the xoy plane, simulates the head elevation angle of the patient during an MRI scan, and determines the basic coordinate system for subsequent operations, that is, the relative positions of all subsequent coordinate points are based on the basic coordinate system.

[0018] Furthermore, in step S3, a normal vector of the plane where the tumor is located or a normal vector parallel to the xoy plane of the basic coordinate system is entered by default, and a center point plane is determined by the plane normal vector and the tumor coordinates. The center point of the electrode patch generated subsequently will only be on the intersection of the plane and the patient model; the number of patch pairs generated is considered by the angle limit, which is the angle between 2 pairs of patch center point straight lines, 1 pair is 2 patch positions, and the connected straight line passes through the tumor position. The angle limit is set between 30° and 90°. If the angle limit is 90°, the 2 pairs of patch straight lines are perpendicular, and 2 pairs of 4 pending patch positions are generated. Electrode patches of different sizes are selected according to the selected angle limit, and the electrode patch fitting is simulated by a rectangle in the three-dimensional software. The angle can be adjusted to ensure that the electrode patches do not overlap with each other during the process, and the electrode patches do not overlap with the head restricted area and the face area.

[0019] Preferably, when two pairs of patch arrays are used, the angle limit is 90°; when three pairs of patch arrays are used, the angle limit is 60°; when four pairs of patch arrays are used, the angle limit is 45°; when generating the patch array, there is always a pair of patch center point connection lines parallel to the x-axis of the basic coordinate system in the plane.

[0020] More preferably, the electrode patch is in a rectangular style with 3 columns, 3 points in each column, and a total of 9 points, with 8 thermistors attached. A total of 3 sizes are designed to cope with different angle restrictions. The smaller the angle restriction, the smaller the size. When fitting, the front and back points of the head are vertically fitted, the left and right points are horizontally fitted, and the remaining angle-restricted points are vertically fitted by default. If there is an overlapping part between the electrode patches, while ensuring that the electrode patch does not overlap with the restricted area, the patch is rotated counterclockwise along the center point 10° each time for a total of 17 times, and the first rotation angle without overlapping parts is selected. If the rotation operation cannot ensure non-overlapping, a smaller electrode patch is replaced.

[0021] Some overlaps can be ignored, such as overlapping adhesive bandages, and the overlap that cannot be ignored is the electrode overlap; the rectangular size when simulating the electrode patch fitting in the 3D software is the actual application size without the outer adhesive tape.

[0022] In step S4, the coordinates of multiple vertices of the patch array obtained by the algorithm generation part are input into the software as the center points of the electrode patches together with the patient model for simulation testing, and the electric field strength at the tumor position is observed for reference of the treatment effect, and the simulation process and results are output.

[0023] Preferably, the simulation test uses Comsol software to set different parameters such as scalp thickness according to the individual differences of different patients, and defines different brain tissues and sets different conductivity values ​​at different positions inside the generated user head model at 200 kHz, such as gray matter, white matter, cerebrospinal fluid, etc.

[0024] The beneficial effects of the present invention are mainly manifested in:

[0025] 1. The results are highly credible. The professional 3D software Blender is used to reconstruct the patient's head shape. The model is highly accurate. Comsol software is used to conduct a real simulation test on the coordinate system obtained by the algorithm. The simulation environment simulates the real human brain medium, and the electric field strength at the tumor location and the temperature of each electrode patch point are observed. The credibility of the simulation results is higher than that of the theoretical level.

[0026] 2. High degree of customizability. Although most existing methods theoretically have more reasonable electrode patch positions, they do not take into account possible injuries on the patient's head and individual differences in head shapes of different patients. The system used in the present invention takes into account the patient's wound condition during MRI scanning, sets different scalp parameters based on individual differences, and can also input different tumor planes to change the electrode patch orientation. Although the theoretical results may not be as good as those of deep learning and other methods, the existence of simulation tests can be used as a reference for actual treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a method for optimizing the orientation of an electrode patch for treating a brain tumor according to the present invention.

[0028] Figure 2 It is a magnetic resonance imaging (MRI) measurement diagram referenced in the implementation process of the present invention.

[0029] Figure 3 This is the situation after the patient's head is three-dimensionally reconstructed and the angle is adjusted in the blender software during the implementation of the present invention.

[0030] Figure 4It is the spatial relationship between the tumor plane and the electrode patch array in the head model during the implementation of the present invention.

[0031] Figure 5 It is the largest one in the diagram of the electrode patch device used in the implementation process of the present invention, including specific dimensions, in which the disc is the electrode.

[0032] Figure 6 It is an intuitive diagram of calculating the distance between two points on an irregular surface during the implementation of the present invention.

[0033] Figure 7 This is a diagram showing the fitting condition of the electrode patch of the present invention on the patient's head under normal circumstances.

[0034] Figure 8 It is a schematic diagram of the use of the present invention in a specific application. DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Reference Figures 1 to 8 , a method for optimizing the position of an electrode patch for treating a brain tumor, comprising the following steps:

[0037] S1. Magnetic resonance imaging (MRI) measures a real head model; MRI measurements are received through a standard medical digital imaging and communication browser, and the determination of MRI measurements is performed automatically through existing artificial intelligence technology or manually by a doctor. MRI measurements may include one or more head size measurements and tumor measurements to obtain accurate head parameters and tumor locations. One or more MRI measurements can be rounded to the nearest millimeter and provided to software for analysis and modeling. During the MRI scan, it is determined whether the patient's head is injured. If there is an obvious wound that does not support the electrode patch fitting, the location is marked in the imaging.

[0038] Figure 2 A common head MRI measurement diagram is shown. MRI measurements may include one or more head size measurements, such as head anterior-posterior diameter, head left-right diameter, distance from the top of the head to the lower edge of the temporal lobe, coronal left-right diameter, and distance from the top of the head to the lowest edge of the brain. MRI measurements may include one or more tumor measurements, such as tumor location measurements and coronal view tumor measurements.

[0039] S2. Determine the location of the head tumor and establish a three-dimensional model of the head; use MRI measurements in the existing mature 3D modeling software blender to generate a patient model to determine the subsequent three-dimensional array diagram of the electrode patch; segment the tumor from one or more tumor measurement MRI data, obtain the tumor location, and mark the location in the patient model. At the same time, mark important wounds on the patient model as restricted areas for subsequent algorithm generation. Tilt the generated patient model forward so that the plane from the brow bone to the bottom of the back of the head is parallel to the xoy plane of the original coordinate system, and then adjust the height to ensure that the plane coincides with the xoy plane to determine the basic coordinate system.

[0040] Figure 3 The 3D reconstruction of the patient's head and the angle adjustment in the blender software are shown. The forward tilt angle of the patient's head model is set to 20°, which ensures that the plane from the brow bone to the bottom of the back of the head is parallel to the xoy plane, simulating the head elevation angle of the patient during MRI scanning, and determining the basic coordinate system for subsequent operations, that is, the relative positions of all subsequent coordinate points are based on the basic coordinate system.

[0041] S3. The algorithm generates the coordinates of the pending patch position; enter the normal vector of the plane where the tumor is located or the normal vector of the default plane parallel to the basic coordinate system xoy plane, and determine a center point plane by the plane normal vector and the tumor coordinates. The center point of the electrode patch generated subsequently will only be on the intersection of the plane and the patient model. The number of patch pairs generated is considered by the angle limit, which is the angle between the straight lines of the center points of 2 pairs of patches. One pair is 2 patch positions, and the connected straight lines pass through the tumor position. The angle limit is set between 30° and 90°. If the angle limit is 90°, the 2 pairs of patch straight lines are perpendicular, and 2 pairs of 4 pending patch positions are generated. Electrode patches of different sizes are selected according to the selected angle limit. Rectangles are used in the 3D software to simulate the electrode patch fitting. The angle can be adjusted. During the process, it is ensured that the electrode patches do not overlap with each other, and the electrode patches do not overlap with the head restricted area and the face area.

[0042] When 2 pairs of patch arrays are needed, the angle limit can be 90°; when 3 pairs of patch arrays are needed, the angle limit can be 60°; when 4 pairs of patch arrays are needed, the angle limit can be 45°. When generating a patch array, there is always a pair of patch center point lines parallel to the x-axis of the basic coordinate system on the plane.

[0043] The spatial relationship between the tumor plane and the electrode patch array in the head model is shown in the attached figure. Figure 4 shown.

[0044] The head 3D model established in step S2 is a head model in Mesh format. Mesh is a common technique for 3D reconstruction. It expresses 3D objects in the form of vertices and triangles, so the coordinate points only appear on the outer surface of the model. Therefore, the intersection of the coordinate axis and the 3D model will only have two points on the outer surface. The points on the model are sparse compared to the coordinate system, so the threshold is set to 5 mm. As long as the distance between the point on the model and the intersection point is less than the threshold, the point is considered to exist in the coordinate system, that is, the point is considered to be the actual intersection point.

[0045] Figure 5 The largest electrode patch style used in the present invention is shown. Considering that individual differences in skull shapes of different patients may affect the fit and treatment effect of the electrode patch, the electrode patch used in this method is a rectangular style with 3 columns, 3 points in each column, and a total of 9 points. Each point can adjust the fit angle individually; except for the center point, a thermistor is placed at the other 8 points to read the skin temperature under the patch, which is configured to measure the skin temperature periodically, such as once per second, and the reading is controlled by the comsol software. The other two smaller patch styles remain unchanged overall, and the sizes are reduced to 60% and 40% respectively in the same proportion to deal with different angle restrictions. The smaller the angle restriction, the smaller the size.

[0046] In order to ensure that the electrode patch maintains a distance from the restricted area and the facial area and does not overlap, it is necessary to calculate the length N from the electrode patch along the irregular surface of the three-dimensional head model to the restricted area or the face.

[0047] Reference Figure 6 As shown, the embodiment of the present invention also introduces a method for calculating the distance between two points on the irregular surface outside a three-dimensional model in Mesh format. The specific idea is:

[0048] Select the coordinates of two three-dimensional points, one is the center coordinate point of the electrode patch obtained in step (3), and the other is the center point of the head restricted area or the edge point of the face area. The two points are connected in three-dimensional space to obtain a straight line segment, and the line segment is projected onto the irregular surface of the three-dimensional model to form an irregular curve segment. The three-dimensional coordinate points that are no more than 1 mm away from the curve segment are obtained, and the spatial distances n of these coordinate points are calculated in turn and connected. Finally, all the distance values ​​n are added to obtain the distance N between the two points on the irregular surface.

[0049] The rest of the judgments about whether the electrode patches overlap or not and whether the electrode patches overlap with the forbidden area of ​​the head are made by projection. In Blender, the electrode patches are attached to the patient model in the form of rectangular point clouds. If the point clouds are in contact with each other, it is judged that the electrode patches overlap. If the point set of the forbidden area of ​​the head falls within the projection of the point cloud on the model, it is judged that the electrode patches overlap with the forbidden area of ​​the head. If they overlap, the rotation angle operation is performed.

[0050] Figure 7 Shows how the electrode patch typically fits on a patient's head.

[0051] When the patches are fitted, the front and back points of the head are fitted vertically by default, the left and right points are fitted horizontally, and the other points with angle restrictions are fitted vertically; if there are overlapping parts between the electrode patches, the patch is rotated counterclockwise along the center point 10° each time for a total of 17 times while ensuring that the electrode patch does not overlap with the restricted area, and the first rotation angle without overlapping parts is selected. If the rotation operation cannot ensure that there is no overlap, replace the electrode patch with a smaller size.

[0052] In one embodiment, some overlaps can be ignored, such as overlapping adhesive bandages, and the overlaps that cannot be ignored are electrode overlaps. The rectangular size when simulating the electrode patch fitting in the three-dimensional software should be the actual application size without the surrounding adhesive bandages.

[0053] All the above steps are implemented in the blender software using a python script, and the actual time consumed is between 3 and 5 seconds.

[0054] S4. Perform simulation tests on the determined positions to observe the treatment effects; input the coordinates of multiple vertices of the patch array obtained by the algorithm generation part as the center points of the electrode patches together with the patient model into the COMSO software for simulation tests, observe the electric field strength at the tumor position for reference of the treatment effects, and output the simulation process and results.

[0055] The simulation test uses Comsol software to set different parameters such as scalp thickness according to the individual differences of different patients. Different brain tissues are defined and different conductivity values ​​are set at different positions in the 3D model at 200kHz after adjusting the parameters, such as gray matter, white matter, cerebrospinal fluid, etc. If the temperature measured by the thermistor in the patch is lower than the preset maximum temperature Tmax between two subsequent measurements, the current can be increased until the current reaches the maximum treatment current, such as 4 amperes peak; if the temperature reaches Tmax and continues to rise, the current is reduced; if the temperature continues to rise to 41°C, the simulation is paused and the overheating alarm is triggered.

[0056] If the simulation test results are not ideal or do not meet the requirements before simulation because the electrode patch is too close to the restricted area and the face, it will be output in the form of a report, requiring the tumor plane normal vector to be re-entered to continue with the subsequent steps.

[0057] S5. Convert the vertex information to the position of the patient's head. Mark the center points of all the patch positions of the generated electrode patch array in the 3D software, retain the rectangle of the simulated electrode patch fitting, place cameras in 5 directions (front, back, left, right, and top) of the patient model to take pictures, and output the pictures together with the simulation results to the doctor for treatment reference.

[0058] Reference Figure 8 , which introduces a schematic diagram of the use of the present invention in actual application scenarios, wherein the doctor only needs to input information and receive reports outside the server, and the remaining operations are automatically completed within the server.

[0059] In actual application, the blender software, algorithm and simulation software comsol are deployed to the cloud, and the scanning results of the MRI and the angle restrictions are input to automatically reconstruct the patient model and generate the coordinates of the pending patch positions in blender. The MRI results, patient model, pending patch positions and the rotation angles of each patch are input into the comsol simulation software. The software separates parameters such as scalp thickness, defines the conductivity values ​​of different parts, observes the electric field strength at the tumor location, and outputs the simulation results and the images of the five angles in blender as results to the doctor.

[0060] The contents described in the embodiments of this specification are merely enumerations of implementation forms of the inventive concept and are for illustrative purposes only. The protection scope of the present invention should not be considered to be limited to the specific forms described in this embodiment, and the protection scope of the present invention also extends to equivalent technical means that can be thought of by ordinary technicians in this field based on the inventive concept.

Claims

1. A method for optimizing the position of electrode patches for brain tumor treatment, characterized in that: The method comprises the following steps: S1, MRI measurement of real head model; S2, determine the location of the head tumor and establish a three-dimensional model of the head; S3, the algorithm generates the coordinates of the patch position to be determined; S4, perform simulation test on the predetermined position to observe the treatment effect; S5. Convert the vertex information to the position of the patient's head. Mark the center points of all the patch positions of the generated electrode patch array in the 3D software, retain the rectangle of the simulated electrode patch fitting, place cameras in 5 directions (front, back, left, right, and top) of the patient model to take pictures, and output the pictures together with the simulation results.

2. A method for optimizing the orientation of a brain tumor treatment electrode patch as claimed in claim 1, characterized in that: In step S1, MRI measurement values ​​are received through a standard medical digital imaging and communication browser, the MRI measurement including one or more head size measurements and tumor measurements to obtain accurate head parameters and tumor positions, and the one or more MRI measurement values ​​may be rounded to the nearest millimeter and provided to software analysis and modeling; During the MRI scan, the patient's head is checked for injuries. If there are obvious wounds that do not support the electrode patch fitting, the location is marked in the image.

3. A method for optimizing the orientation of a brain tumor treatment electrode patch as claimed in claim 2, characterized in that: The MRI measurement includes one or more head size measurements, such as the anterior-posterior diameter of the head, the left-right diameter of the head, the distance from the top of the head to the lower edge of the temporal lobe, the left-right diameter of the coronal position, and the distance from the top of the head to the lowest edge of the brain; the MRI measurement includes one or more tumor measurements, including tumor position measurements or coronal view tumor measurements; the MRI measurement includes one or more head parameter measurements.

4. A method for optimizing the position of an electrode patch for treating a brain tumor as claimed in any one of claims 1 to 3, characterized in that: In step S2, a patient model is generated in a 3D modeling software using MRI measurement values ​​to determine a subsequent three-dimensional array diagram of an electrode patch; the tumor is segmented from one or more tumor measurement MRI data to obtain the tumor location, and the location is marked in the patient model; at the same time, important wounds are marked on the patient model as restricted areas for subsequent algorithm generation; the generated patient model is tilted forward so that the plane from the brow bone to the bottom of the back of the head is parallel to the xoy plane of the original coordinate system, and then the height is adjusted to ensure that the plane coincides with the xoy plane to determine the basic coordinate system.

5. A method for optimizing the position of an electrode patch for treating a brain tumor as claimed in claim 4, characterized in that: The forward tilt angle of the patient's head model was set to 20°, which ensured that the plane from the brow bone to the bottom of the back of the head was parallel to the xoy plane, simulating the head elevation angle of the patient during MRI scanning and determining the basic coordinate system for subsequent operations, that is, the relative positions of all subsequent coordinate points were based on the basic coordinate system.

6. A method for optimizing the orientation of a brain tumor treatment electrode patch as claimed in any one of claims 1 to 3, characterized in that: In the step S3, a normal vector of a plane where a tumor is located or a normal vector that is parallel to the xoy plane of the basic coordinate system by default is entered, and a center point plane is determined by the plane normal vector and the tumor coordinates. The center point of the electrode patch generated subsequently will only be on the intersection of the plane and the patient model; the number of patch pairs generated is considered by angle restriction, which is the angle between 2 pairs of patch center point straight lines, 1 pair is 2 patch positions, and the connected straight lines pass through the tumor position; the angle restriction is set between 30° and 90°, and if the angle restriction is 90°, the 2 pairs of patch straight lines are perpendicular, generating 2 pairs of 4 pending patch positions; electrode patches of different sizes are selected according to the selected angle restriction, and the electrode patch fitting is simulated by a rectangle in the 3D software, and the angle can be adjusted. During the process, it is ensured that the electrode patches do not overlap with each other, and the electrode patches do not overlap with the head restricted area and the face area.

7. A method for optimizing the orientation of electrode patches for treating brain tumors as claimed in claim 6, characterized in that: When two pairs of patch arrays are used, the angle limit is 90°; when three pairs of patch arrays are used, the angle limit is 60°; when four pairs of patch arrays are used, the angle limit is 45°; when generating the patch array, a pair of patch center point lines are parallel to the x-axis of the basic coordinate system in the plane.

8. A method for optimizing the orientation of electrode patches for treating brain tumors as claimed in claim 7, characterized in that: The electrode patch is in a rectangular shape with 3 columns and 3 points in each column, with a total of 9 points. It is equipped with 8 thermistors and is designed in 3 sizes to cope with different angle restrictions. The smaller the angle restriction, the smaller the size. When fitting, the front and back points of the head are vertically fitted by default, the left and right points are horizontally fitted, and the remaining points with angle restrictions are vertically fitted. If there are overlapping parts between the electrode patches, the patch is rotated counterclockwise along the center point by 10° each time for a total of 17 times while ensuring that the electrode patch does not overlap with the restricted area. The first rotation angle without overlapping parts is selected. If the rotation operation cannot ensure non-overlapping, a smaller electrode patch is replaced.

9. A method for optimizing the orientation of a brain tumor treatment electrode patch as claimed in any one of claims 1 to 3, characterized in that: In step S4, the coordinates of multiple vertices of the patch array obtained by the algorithm generation part are input into the software as the center points of the electrode patches together with the patient model for simulation testing, and the electric field strength at the tumor position is observed for reference of the treatment effect, and the simulation process and results are output.

10. A method for optimizing the orientation of electrode patches for treating brain tumors as claimed in claim 9, characterized in that: The simulation test uses Comsol software to set different parameters such as scalp thickness according to the individual differences of different patients, and defines different brain tissues and sets different conductivities at different positions inside the generated user head model at 200 kHz.

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