Elampsia zone positioning method, device and system and computer readable storage medium

Abstract

The embodiment of the invention discloses an epileptic region positioning method, device and system and a computer readable storage medium. The objectivity and accuracy of epileptic region positioning can be improved. The scalp electroencephalogram positioning module obtains scalp electroencephalogram data of a user, and obtains a first epilepsy region positioning result according to the scalp electroencephalogram data; the image positioning module obtains medical image data of the brain of the user and obtains a second epilepsy region positioning result according to the medical image data; the intracranial electroencephalogram positioning module obtains intracranial electroencephalogram data collected by an intracranial electrode, and obtains a third epilepsy region positioning result according to the intracranial electroencephalogram data; the fusion positioning module constructs a three-dimensional digital brain anatomical model according to the medical image data, and superimposes and fuses the first epileptic region positioning result, the second epileptic region positioning result and the third epileptic region positioning result to the three-dimensional digital brain anatomical model to obtain a first fusion positioning result.

Description

Technical Field

[0001] The present application belongs to the field of medical device technology, and in particular, relates to an epileptogenic zone positioning method, device, system and computer-readable storage medium. Background Art

[0002] Epilepsy is a common neurological disease caused by sudden abnormal discharges of brain neurons, which leads to brain functional network disorders.

[0003] Some epilepsy patients are drug-resistant epilepsy patients, that is, the condition of these epilepsy patients cannot be effectively controlled by drugs. Most drug-resistant epilepsy patients are focal epilepsy patients. For patients with drug-resistant focal epilepsy, the epileptogenic zone (EZ) is usually located preoperatively, and then the located epileptogenic zone is removed through neurosurgery to control epileptic seizures while avoiding neurological damage such as movement, language, cognition and memory as much as possible.

[0004] Currently, after stereotactic electroencephalogram (SEEG) monitoring and magnetic resonance imaging (MRI) image acquisition, doctors subjectively determine the possible epileptogenic zone based on SEEG and MRI images. However, this will lead to a high degree of subjectivity in the evaluation results of the epileptogenic zone, and it is impossible to obtain objective and accurate results of the epileptogenic zone location. Summary of the invention

[0005] The embodiments of the present application provide an epileptogenic zone positioning method, device, system and computer-readable storage medium, which can improve the objectivity and accuracy of epileptogenic zone positioning.

[0006] In a first aspect, an embodiment of the present application provides an epileptogenic zone positioning system, comprising:

[0007] The scalp EEG positioning module is used to: obtain the user's scalp EEG data; obtain the first epileptogenic zone positioning result based on the scalp EEG data;

[0008] An image positioning module is used to: obtain medical image data of the user's brain; and obtain the positioning result of the second epileptogenic zone based on the medical image data;

[0009] The intracranial EEG localization module is used to: obtain intracranial EEG data collected by intracranial electrodes, which are electrodes implanted in the user's skull; obtain the localization result of the third epileptogenic zone based on the intracranial EEG data;

[0010] The fusion positioning module is used to: construct a three-dimensional digital brain anatomical model based on medical imaging data; superimpose and fuse the first epileptogenic zone positioning result, the second epileptogenic zone positioning result and the third epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model to obtain a first fusion positioning result.

[0011] It can be seen from the above technical scheme that after obtaining the epileptogenic zone localization result determined according to the scalp EEG, the epileptogenic zone localization result determined according to the medical image, and the epileptogenic zone localization result determined according to the intracranial EEG, the embodiment of the present application superimposes and fuses multiple epileptogenic zone localization results onto the same three-dimensional digital brain anatomical model to integrate the multiple epileptogenic zone localization results. The user does not need to integrate various information through subjective imagination, which reduces the subjectivity and errors in the manual integration process, thereby improving the objectivity and accuracy of epileptogenic zone localization; in addition, multiple information such as scalp EEG information, medical imaging information and intracranial EEG information are superimposed and fused, so that more information is fused and the obtained epileptogenic zone localization result is more accurate.

[0012] In some possible implementations of the first aspect, a source positioning module is also included;

[0013] The source localization module is used to: construct the lead field matrix based on medical imaging data; extract EEG signal features from EEG data; perform inverse problem processing based on EEG signal features, lead field matrix, and three-dimensional digital brain anatomical model to obtain the localization result of the fourth epileptogenic zone;

[0014] The fusion localization module is also used to: superimpose and fuse the fourth epileptogenic zone localization result with the first fusion localization result to obtain a second fusion localization result.

[0015] In this implementation, the epileptogenic zone localization results of source localization are also superimposed on the three-dimensional digital brain anatomical model, which integrates information from more dimensions, further reduces the subjectivity and errors caused by human integration of information, and further improves the objectivity and accuracy of the epileptogenic zone localization results.

[0016] In some possible implementations of the first aspect, the EEG data includes scalp EEG data and intracranial EEG data;

[0017] The source localization module is specifically used for: extracting the first EEG signal feature from the scalp EEG data; extracting the second EEG signal feature from the intracranial EEG data; performing inverse problem processing according to the first EEG signal feature, the second EEG signal feature, the lead field matrix, and the three-dimensional digital brain anatomical model to obtain the fourth epileptogenic zone localization result; the EEG signal feature includes the first EEG signal feature and the second EEG signal feature.

[0018] In this implementation, brain source imaging is performed by combining scalp EEG data and intracranial EEG data at the same time, which can make the brain source localization results more accurate, thereby improving the accuracy of subsequent epileptogenic zone localization results.

[0019] In some possible implementations of the first aspect, the scalp EEG localization module is further used to: obtain first video data, where the first video data is data obtained by synchronously collecting video of the user when collecting scalp EEG data of the user; the scalp EEG localization module is specifically used to: obtain a first epileptogenic zone localization result according to the epileptic seizure symptoms and scalp EEG data recorded in the first video data;

[0020] The intracranial EEG localization module is also used to obtain second video data, which is data obtained by synchronously collecting video of the user when collecting intracranial EEG data of the user; the intracranial EEG localization module is specifically used to obtain the localization result of the third epileptogenic zone based on different epileptic seizure symptoms and scalp EEG data recorded in the second video data.

[0021] In this implementation, the user's video data is collected synchronously during the process of collecting EEG data (scalp EEG and intracranial EEG), and the different epileptic seizure symptoms recorded by the video data are used to identify the epileptic foci in different cerebral lobes that cause the corresponding epileptic seizure symptoms. The EEG data is then combined for comprehensive positioning to more accurately locate the epileptic zone.

[0022] In some possible implementations of the first aspect, the method further includes a control unit and a radio frequency thermocoagulation generator; the control unit is connected to the radio frequency thermocoagulation generator, and the radio frequency thermocoagulation generator is connected to the contact of the target intracranial electrode;

[0023] The target intracranial electrode is an electrode determined from the intracranial electrodes according to the first fusion positioning result or the second fusion positioning result; the control unit is used to control the radiofrequency thermocoagulation generator to destroy the epileptogenic zone corresponding to the target electrode.

[0024] In this implementation, after obtaining the fusion localization results of the epileptogenic zone and determining the epileptogenic zone that needs to be destroyed according to the fusion localization results, the radiofrequency thermocoagulation generator can be directly connected to the SEEG electrode used for diagnosis to perform radiofrequency thermocoagulation destruction. In this way, the SEEG electrode implanted during diagnosis can be directly used for radiofrequency thermocoagulation destruction without re-implanting the SEEG electrode, which reduces secondary trauma and the incidence of postoperative complications and improves surgical efficiency.

[0025] In some possible implementations of the first aspect, the fusion positioning module is specifically used to:

[0026] Obtain preoperative and postoperative images before and after intracranial electrode implantation surgery;

[0027] Based on preoperative and postoperative images, the contacts of the intracranial electrodes are mapped onto a three-dimensional digital brain anatomical model;

[0028] According to the correspondence between the contacts of the intracranial electrodes and the mapped contacts on the three-dimensional digital brain anatomical model, the localization results of the third epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model;

[0029] Acquire an image of a user wearing a scalp EEG acquisition device;

[0030] Register the image and medical imaging data to obtain a registration relationship;

[0031] Based on the registration relationship, the electrodes of the scalp EEG acquisition device are mapped to the three-dimensional digital brain anatomical model;

[0032] According to the correspondence between the electrodes of the scalp EEG acquisition device and the mapping electrodes of the three-dimensional digital brain anatomical model, the localization result of the first epileptogenic zone is superimposed and fused to the three-dimensional digital brain anatomical model;

[0033] The localization results of the second epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model.

[0034] In this way, it is possible to superimpose and fuse multiple epileptogenic zone localization results onto the same three-dimensional digital brain anatomical model, thereby improving the objectivity and accuracy of epileptogenic zone localization.

[0035] In some possible implementations of the first aspect, the image positioning module is specifically used to:

[0036] Acquire MRI images and PET images, where medical imaging data includes MRI images and PET images;

[0037] Identify the epileptogenic focus on the MRI image and obtain the MRI epileptogenic zone localization result;

[0038] Identify the epileptogenic focus on the PET image and obtain the PET epileptogenic zone localization result;

[0039] The results of localization of the second epileptogenic zone include the results of MRI epileptogenic zone localization and PET epileptogenic zone localization.

[0040] In this implementation, the localization results of the epileptogenic zone are determined based on the MRI image and the PET image respectively, and the two localization results of the epileptogenic zone are superimposed on the three-dimensional digital brain anatomical model, thereby further improving the accuracy of the localization of the epileptogenic zone.

[0041] In a second aspect, an embodiment of the present application provides a method for locating an epileptogenic zone, comprising:

[0042] Obtain the user's scalp EEG data;

[0043] According to the scalp EEG data, the localization results of the first epileptogenic zone were obtained;

[0044] Obtain medical imaging data of the user's brain;

[0045] According to the medical imaging data, the localization results of the second epileptogenic zone are obtained;

[0046] Acquiring intracranial EEG data collected by intracranial electrodes, which are electrodes implanted in the user's skull;

[0047] According to the intracranial EEG data, the localization results of the third epileptogenic zone were obtained;

[0048] Construct a three-dimensional digital brain anatomical model based on medical imaging data;

[0049] The first epileptogenic zone localization results, the second epileptogenic zone localization results and the third epileptogenic zone localization results are superimposed and fused to the three-dimensional digital brain anatomical model to obtain the first fused localization result.

[0050] In some possible implementations of the second aspect, the method further includes:

[0051] Construct the lead field matrix based on medical imaging data;

[0052] Extract EEG signal features from EEG data;

[0053] According to the EEG signal characteristics, lead field matrix, and three-dimensional digital brain anatomical model, reverse problem processing was performed to obtain the localization results of the fourth epileptogenic zone;

[0054] The fourth epileptogenic zone localization result is superimposed and fused with the first fusion localization result to obtain a second fusion localization result.

[0055] In some possible implementations of the second aspect, the EEG data includes scalp EEG data and intracranial EEG data;

[0056] According to the EEG signal characteristics, lead field matrix, and three-dimensional digital brain anatomical model, reverse problem processing is performed to obtain the fourth epileptogenic zone positioning results, including:

[0057] Extracting a first EEG signal feature from the scalp EEG data;

[0058] Extracting a second EEG signal feature from intracranial EEG data;

[0059] According to the first EEG signal characteristics, the second EEG signal characteristics, the lead field matrix, and the three-dimensional digital brain anatomical model, the inverse problem processing is performed to obtain the localization result of the fourth epileptogenic zone;

[0060] The EEG signal feature includes a first EEG signal feature and a second EEG signal feature.

[0061] In some possible implementations of the second aspect, the method further includes:

[0062] Acquire first video data, where the first video data is data obtained by synchronously collecting video of the user when collecting scalp EEG data of the user;

[0063] Acquire second video data, where the second video data is data obtained by synchronously collecting video of the user when collecting intracranial EEG data of the user;

[0064] According to the scalp EEG data, the first epileptogenic zone localization result is obtained, including:

[0065] Obtaining the first epileptogenic zone positioning result according to the epileptic seizure symptoms recorded by the first video data and the scalp EEG data;

[0066] According to the intracranial EEG data, the third epileptogenic zone localization result is obtained, including:

[0067] The third epilepsy zone positioning result is obtained based on the different epileptic seizure symptoms recorded by the second video data and the scalp EEG data.

[0068] In some possible implementations of the second aspect, the first epileptogenic zone localization result, the second epileptogenic zone localization result, and the third epileptogenic zone localization result are superimposed and fused onto the three-dimensional digital brain anatomical model to obtain a first fused localization result, including:

[0069] Obtain preoperative and postoperative images before and after intracranial electrode implantation surgery;

[0070] Based on preoperative and postoperative images, the contacts of the intracranial electrodes are mapped onto a three-dimensional digital brain anatomical model;

[0071] According to the correspondence between the contacts of the intracranial electrodes and the mapped contacts on the three-dimensional digital brain anatomical model, the localization results of the third epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model;

[0072] Acquire an image of a user wearing a scalp EEG acquisition device;

[0073] Register the image and medical imaging data to obtain a registration relationship;

[0074] Based on the registration relationship, the electrodes of the scalp EEG acquisition device are mapped to the three-dimensional digital brain anatomical model;

[0075] According to the correspondence between the electrodes of the scalp EEG acquisition device and the mapping electrodes of the three-dimensional digital brain anatomical model, the localization result of the first epileptogenic zone is superimposed and fused to the three-dimensional digital brain anatomical model;

[0076] The localization results of the second epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model.

[0077] In some possible implementations of the second aspect, the medical imaging data includes MRI images and PET images;

[0078] Based on the medical imaging data, the results of the second epileptogenic zone localization are obtained, including:

[0079] Identify the epileptogenic focus on the MRI image and obtain the MRI epileptogenic zone localization result;

[0080] Identify the epileptogenic focus on the PET image and obtain the PET epileptogenic zone localization result;

[0081] The second epileptogenic zone localization result includes an MRI epileptogenic zone localization result and a PET epileptogenic zone localization result, and the medical imaging data includes an MRI image and a PET image.

[0082] In a third aspect, an embodiment of the present application provides an epileptogenic zone locating device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of the second aspects above is implemented.

[0083] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method of any one of the second aspects described above is implemented.

[0084] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a processing device, the processing device executes any one of the methods in the second aspect.

[0085] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0087] Figure 1 A schematic block diagram of the structure of the epileptogenic zone positioning system provided in an embodiment of the present application;

[0088] Figure 2 A schematic diagram of an integrated epilepsy diagnosis and treatment system provided in an embodiment of the present application;

[0089] Figure 3A schematic flowchart of a method for locating an epileptogenic zone provided in an embodiment of the present application;

[0090] Figure 4 A schematic diagram of the structure of the epileptogenic zone locating device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0091] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0092] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0093] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0094] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0095] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0096] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0097] See also Figure 1 , which is a structural schematic diagram of the epileptogenic zone positioning system provided in an embodiment of the present application. The epileptogenic zone positioning system may include but is not limited to: a scalp EEG positioning module 110, an image positioning module 120, an intracranial EEG positioning module 130 and a fusion positioning module 140.

[0098] The scalp EEG positioning module 110 , the image positioning module 120 and the intracranial EEG positioning module 130 are all connected to the fusion positioning module 140 .

[0099] The scalp EEG localization module 110 is used to: obtain scalp EEG data; and obtain the first epileptogenic zone localization result according to the scalp EEG data.

[0100] Optionally, in some embodiments, the scalp EEG localization module 110 is also used to obtain first video data, which is data obtained by synchronously collecting video of the user when collecting scalp EEG data of the user. At this time, the first video data and scalp EEG data can be combined to jointly locate the epileptogenic zone. That is, according to the first video data and scalp EEG data, the first epileptogenic zone localization result is obtained. In comparison, combining video data and EEG data to locate the epileptogenic zone can make the localization result more accurate.

[0101] Among them, VideoEEG (VEEG) technology can record the user's EEG while recording the user's EEG, thereby obtaining EEG data and video data. The video data includes various behavioral symptoms of the user during an epileptic seizure. For example, the user wears an EEG cap and uses a camera to point at the user; while using the EEG cap to collect scalp EEG signals, video shooting is performed simultaneously.

[0102] Among them, epileptic seizure symptoms caused by epileptic lesions in different cerebral lobes are different. Therefore, after obtaining EEG data and video data, the possible epileptic zone can be determined based on the EEG signals during the epileptic seizure period in the EEG data, combined with the epileptic seizure symptoms recorded in the video data, and then the first epileptic zone localization result can be obtained. The first consistent epileptic zone localization result can characterize the possibility that each brain area is an epileptic zone.

[0103] The image positioning module 120 is used to: obtain medical image data of the user's brain; and obtain a second epileptogenic zone positioning result based on the medical image data.

[0104] The medical imaging data may include, but is not limited to, at least one of the following: computed tomography (CT) images, positron emission tomography (PET), and magnetic resonance imaging (MRI).

[0105] When the medical image data includes at least two medical images, the corresponding epileptogenic zone localization results can be obtained according to the two medical images respectively. In this way, the objectivity and accuracy of epileptogenic zone localization can be further improved during subsequent superposition and fusion localization.

[0106] Optionally, in some embodiments, the medical imaging data may include MRI images and PET images. At this time, after acquiring an MRI image (e.g., a T1 image) of the user's brain, the MRI image may be processed using methods such as surface-based morphological analysis (SBM), voxel-based morphological analysis (VBM), and grayscale and volumetric analysis to identify possible epileptogenic areas and obtain MRI epileptogenic zone localization results. Similarly, after acquiring a PET image of the user's brain, the PET image may be processed using methods such as convolutional neural networks or imaging genomics to identify possible epileptogenic areas and obtain PET epileptogenic zone localization results.

[0107] The intracranial EEG localization module 130 is used to: obtain intracranial EEG data collected by intracranial electrodes, which are electrodes implanted in the user's skull; and obtain the localization result of the third epileptogenic zone based on the intracranial EEG data.

[0108] It is understandable that electrodes can be implanted in the user's skull through intracranial electrode implantation surgery. For example, the doctor determines the implantation position of the electrode based on scalp EEG data and preoperative images (such as MRI images or CT images), and implants the electrode at the determined implantation position through implantation surgery.

[0109] After the user's intracranial electrodes are implanted, SEEG monitoring can be performed. Among them, electrical stimulation can be used to induce epileptic seizures and brain function mapping, and intracranial EEG data can be collected at the contacts of the SEEG electrodes; after preprocessing the intracranial EEG data, the machine learning algorithm is used to classify the intracranial EEG data to identify epileptic activities and obtain the results of locating the third epileptogenic zone.

[0110] Exemplarily, the intracranial EEG data is first preprocessed by time domain filtering, downsampling, spatial filtering and artifact removal; then the preprocessed intracranial EEG data is subjected to signal feature extraction to obtain the extracted signal features. Among them, the signal features may exemplarily include at least one of the following: time domain features (such as the mean, standard deviation, variance, skewness and kurtosis of the signal), frequency domain features (such as power spectrum, etc.), and time-frequency domain features (such as short-time Fourier change or wavelet change), etc.; after extracting various signal features, the various signal features are input into the classification model to obtain the classification results output by the classification model. Among them, the classification model is used to classify and identify intracranial EEG data. The classification model may exemplarily include support vector machines and neural networks, etc.

[0111] Optionally, in some embodiments, the intracranial EEG localization module 130 is also used to obtain second video data, which is data obtained by synchronously collecting video of the user when collecting intracranial EEG data of the user. At this time, the second video data and the intracranial EEG data can be combined to jointly locate the epileptogenic zone. That is, according to the second video data and the intracranial EEG data, the third epileptogenic zone localization result is obtained. In comparison, combining video data and EEG data to locate the epileptogenic zone can make the localization result more accurate.

[0112] The fusion positioning module 140 is used to: construct a three-dimensional digital brain anatomical model based on medical imaging data; superimpose and fuse the first epileptogenic zone positioning result, the second epileptogenic zone positioning result and the third epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model to obtain a first fusion positioning result.

[0113] MRI images are structural images, so a three-dimensional digital brain anatomical model can usually be constructed based on the MRI images. The brain tissue is segmented on the MRI images, and then the three-dimensional digital brain anatomical model is constructed using image processing algorithms. For example, the MRI images can be segmented and three-dimensionally reconstructed into brain tissues such as brain regions, sulci, nuclei, and cerebral blood vessels based on deep learning algorithms or fully convolutional neural networks based on encoding-decoding structures. The three-dimensional digital brain anatomical model can be used to ensure the accurate correspondence and fusion of various data.

[0114] In specific applications, the localization results of each epileptogenic zone can be superimposed and fused to the three-dimensional digital brain anatomical model to display the localization results of each epileptogenic zone on the three-dimensional digital brain anatomical model.

[0115] For the first epileptogenic zone location result, an image of the user wearing a scalp EEG acquisition device may be first obtained, and the image and the medical image data may be registered to obtain a registration relationship. At this time, the medical image data may include an MRI image.

[0116] Exemplarily, when a user wears a scalp EEG acquisition device, a camera is used to capture an image (e.g., an RGBD image), and the captured image may include the user's face; the face captured by the camera is spatially aligned with the face in the MRI image through facial features to obtain a registration relationship. For example, the physiological feature points in the image captured by the camera and the MRI image are first extracted, and point pair registration is performed based on the physiological feature points, and then facial point cloud registration is performed through iterative closest point (ICP) algorithm calculation to obtain a registration relationship.

[0117] After obtaining the registration relationship, the electrodes of the scalp EEG acquisition device can be mapped to the three-dimensional digital brain anatomical model according to the registration relationship, and then the first epileptogenic zone positioning result can be superimposed and fused to the three-dimensional digital brain anatomical model based on the correspondence between the electrodes of the scalp EEG acquisition device and the mapped electrodes of the three-dimensional digital brain anatomical model.

[0118] It is understandable that the scalp EEG acquisition device includes various electrodes for collecting scalp EEG signals. The scalp EEG acquisition device can be exemplified as an EEG cap. After extracting the spatial coordinates of all electrodes of the scalp EEG acquisition device from an image (such as an RGBD image) using an image processing algorithm, the coordinates of each electrode on the three-dimensional digital brain anatomical model are determined through a registration relationship based on the spatial coordinates of each electrode; finally, based on the coordinates of each electrode on the three-dimensional digital brain anatomical model, each mapping electrode is displayed at the corresponding position of the three-dimensional digital brain anatomical model. In this way, it is possible to map each electrode of the scalp EEG acquisition device to the three-dimensional digital brain anatomical model.

[0119] The mapping electrodes on the three-dimensional digital brain anatomical model correspond to the electrodes of the scalp EEG acquisition device. For example, the A electrode of the scalp EEG device corresponds to the A' electrode on the three-dimensional digital brain anatomical model.

[0120] In this way, after determining the first epileptogenic zone positioning result based on the scalp EEG signals of each electrode on the scalp EEG acquisition device, the first epileptogenic zone positioning result can be superimposed on the three-dimensional digital brain anatomical model based on the correspondence between the mapping electrodes and the scalp EEG acquisition device.

[0121] For the localization result of the third epileptogenic zone, preoperative images and postoperative images before and after the intracranial electrode implantation surgery can be obtained first; based on the preoperative images and postoperative images, the contacts of the intracranial electrodes are mapped to the three-dimensional digital brain anatomical model; based on the correspondence between the contacts of the intracranial electrodes and the mapped contacts on the three-dimensional digital brain anatomical model, the localization result of the third epileptogenic zone is superimposed and fused to the three-dimensional digital brain anatomical model.

[0122] Exemplarily, before the intracranial electrode implantation surgery, an MRI image of the user's brain (i.e., a preoperative image) is collected; after the intracranial electrode implantation surgery, a CT image of the user's brain (i.e., a postoperative image) is used. Among them, after the SEEG electrode is implanted into the user's skull, the implanted SEEG electrode and contact can be located by CT scanning; the CT image and the MRI image are used for image registration to map the contact of the SEEG electrode to the three-dimensional digital brain anatomical model. That is, the contact position of the SEEG electrode in the CT image is extracted, and the position of each contact on the three-dimensional digital brain anatomical model is determined according to the registration relationship and the contact position of the SEEG electrode, and each mapped contact is displayed at the corresponding position of the three-dimensional digital brain anatomical model. There is a one-to-one correspondence between the contact and the mapped contact. According to the one-to-one correspondence, the intracranial EEG data collected by the contact can be mapped to the three-dimensional digital brain anatomical model, thereby realizing the superposition and fusion of the positioning result of the third epileptogenic zone to the three-dimensional digital brain anatomical model.

[0123] For the second epileptogenic zone localization result, each epileptogenic zone localization result determined according to the medical image can be superimposed and fused to the three-dimensional digital brain anatomical model. For example, when the second epileptogenic zone localization result includes the MRI epileptogenic zone localization result and the PET epileptogenic zone localization result, the MRI epileptogenic zone localization result and the PET epileptogenic zone localization result can be superimposed on the three-dimensional digital brain anatomical model.

[0124] Optionally, the first epileptogenic zone localization result, the second epileptogenic zone localization result and the third epileptogenic zone localization result can be respectively superimposed on the three-dimensional digital brain anatomical model in the form of a probability heat map.

[0125] It should be pointed out that after superimposing and fusing various epileptogenic zone localization results into the same three-dimensional digital brain anatomical model, doctors can choose to hide part of the information or fully display the diagnostic information (i.e., the localization results of each epileptogenic zone) according to their needs, so as to more intuitively locate the epileptogenic zone and conduct preoperative evaluation. This eliminates the need to rely on imagination to integrate various information, avoids the subjective errors caused by manual integration, and improves the objectivity and accuracy of epileptogenic zone localization.

[0126] It should also be pointed out that the embodiments of the present application not only superimpose and fuse the epileptogenic zone positioning results determined based on medical imaging information and intracranial EEG information to the three-dimensional digital brain anatomical model, but also superimpose and fuse the epileptogenic zone positioning results determined based on EEG information and video data to the three-dimensional digital brain anatomical model, so that more superimposed and fused information is provided, further improving the objectivity and accuracy of epileptogenic zone positioning.

[0127] Based on the above embodiments, in some embodiments, the above-mentioned epileptogenic zone localization system may further include a source localization module 150. The source localization module 150 is connected to the fusion localization module 140.

[0128] Among them, the source localization module 150 is used to: construct a lead field matrix based on medical imaging data; extract EEG signal features from EEG data; perform inverse problem processing based on EEG signal features, lead field matrix, and three-dimensional digital brain anatomical model to obtain the fourth epileptogenic zone localization result.

[0129] Exemplarily, the medical imaging data includes MRI images. Based on the user's preoperative MRI images and the electromagnetic properties of different head brain tissues, a geometric model of the user's brain (i.e., a three-dimensional digital brain anatomical model) and a head model (i.e., a lead field matrix) required for the forward problem are constructed.

[0130] The EEG data may include at least one of scalp EEG data and intracranial EEG data. EEG signal features may include spikes and high-frequency oscillations during epileptic seizures.

[0131] Based on the EEG signal characteristics, lead field matrix and three-dimensional digital brain anatomical model, the inverse problem of brain source imaging is constructed and solved to determine the location and intensity of the neural activity source, and then obtain the localization result of the fourth epileptogenic zone.

[0132] Among them, the inverse problem of brain source imaging refers to deducing the brain area that generates the intracranial EEG data based on the intracranial EEG data collected by the contacts.

[0133] The fusion positioning module 140 is also used to: superimpose and fuse the fourth epileptogenic zone positioning result with the first fusion positioning result to obtain a second fusion positioning result. That is, after the position and intensity of the neural activity source are superimposed on the three-dimensional digital brain anatomical model, the position and intensity of each activity source can be displayed in the intracranial image. In addition, the doctor can determine the position and range of the epilepsy starting brain area and the situation of epilepsy conduction by comparing the results of source positioning and the results of three-dimensional stereo imaging, and provide a more accurate preoperative evaluation.

[0134] It is worth noting that the embodiment of the present application also superimposes the epileptogenic zone localization results of source localization onto the three-dimensional digital brain anatomical model, superimposing and integrating information from more dimensions, further reducing the subjectivity and errors caused by human integration of information, and further improving the objectivity and accuracy of the epileptogenic zone localization results.

[0135] It should be noted that in the related art, when SEEG electrodes are implanted to locate the epileptogenic zone, due to the invasive nature of SEEG, SEEG electrodes cannot cover too wide a brain area, and there are risks and difficulties in the surgical process of placing such electrodes in the deep brain or functional areas. Therefore, SEEG electrodes cannot be implanted in all possible areas, that is, SEEG electrodes cannot cover various possible areas, and possible epileptogenic foci will be missed, which will affect the accuracy of the final location of the epileptogenic zone.

[0136] In the embodiment of the present application, by superimposing and fusing the epileptogenic zone localization results of brain source imaging into the three-dimensional digital brain model, the area covered by the SEEG electrode can be increased, the spatial resolution can be improved, and misdiagnosis can be avoided.

[0137] Optionally, the EEG data includes scalp EEG data and intracranial EEG data. At this time, the source localization module is specifically used to: extract the first EEG signal feature from the scalp EEG data; extract the second EEG signal feature from the intracranial EEG data; perform inverse problem processing according to the first EEG signal feature, the second EEG signal feature, the lead field matrix, and the three-dimensional digital brain anatomical model to obtain the fourth epileptogenic zone localization result; the EEG signal feature includes the first EEG signal feature and the second EEG signal feature.

[0138] That is to say, brain source imaging is performed by combining scalp EEG data and intracranial EEG data at the same time. In this way, the brain source localization result can be made more accurate, thereby improving the accuracy of the subsequent epileptogenic zone localization result.

[0139] Based on the above embodiments, in some embodiments, the epileptogenic zone localization system may further include a control unit 160 and a radiofrequency thermocoagulation generator 170. The control unit 160 is connected to the radiofrequency thermocoagulation generator 170, and the radiofrequency thermocoagulation generator is connected to the contact of the target intracranial electrode 131.

[0140] The target intracranial electrode 131 is an electrode determined from the intracranial electrodes according to the first fusion positioning result or the second fusion positioning result. The control unit 160 is used to control the radiofrequency thermocoagulation generator to destroy the epileptogenic zone corresponding to the target electrode.

[0141] It should be noted that in the related technology, when locating the epileptogenic zone, SEEG electrodes are implanted to collect intracranial EEG data and locate the epileptogenic zone. Then the SEEG electrodes are removed. When waiting for surgery, the SEEG electrodes need to be implanted again, and then radiofrequency damage is performed based on the implanted SEEG electrodes. In this way, the surgical efficiency is low. In addition, it will cause secondary trauma to the user and increase the incidence of postoperative complications of the user.

[0142] In the embodiment of the present application, after obtaining the fusion localization result of the epileptogenic zone and determining the epileptogenic zone that needs to be destroyed according to the fusion localization result, the radiofrequency coagulation generator can be directly connected to the SEEG electrode used for diagnosis to perform radiofrequency coagulation destruction. In this way, the SEEG electrode implanted during diagnosis can be directly used for radiofrequency coagulation destruction without removing the SEEG electrode and then re-implanting the SEEG electrode, which reduces the incidence of secondary trauma and postoperative complications and improves the efficiency of the operation. The integration of diagnosis and treatment is achieved.

[0143] In order to better introduce the technical solution provided by the embodiment of the present application, Figure 2 The schematic diagram of the integrated system for diagnosis and treatment of epilepsy provided in the embodiment of the present application is shown for exemplary introduction and description.

[0144] like Figure 2 As shown, for focal epilepsy that is refractory to drugs, non-invasive electrophysiological data VEEG data acquisition can be performed first to obtain scalp EEG data and video data; based on the scalp EEG data and video data, combined with the analysis of epilepsy clinical symptoms, the results of epileptogenic zone localization can be obtained.

[0145] Collect the user's MRI images, CT images, PET images, etc., locate the epileptogenic zone based on the MRI images and PET images, and obtain corresponding epileptogenic zone positioning results; construct a three-dimensional digital brain anatomical model based on the MRI images.

[0146] According to multimodal imaging data (MRI, CT, PET and other images) and VEEG data, a SEEG electrode implantation plan is formulated and SEEG electrodes are implanted. Through electrical stimulation, epileptic seizures and brain function localization are induced to collect SEEG electrophysiological signals; the epileptogenic zone is localized according to SEEG electrophysiological signals. Brain source imaging is performed according to SEEG electrophysiological signals.

[0147] The localization results of various epileptogenic zones are superimposed and fused onto the three-dimensional digital brain anatomical model to obtain a stereotaxic map of the epileptogenic zone. After preoperative evaluation based on the stereotaxic map of the epileptogenic zone, if the localization is clear, the neurosurgeon can directly perform surgical resection; if the scope is limited and involves the deep brain or functional areas, the SEEG electrode contacts can be connected to the radiofrequency thermal coagulation generator, and thermal coagulation minimally invasive treatment can be performed directly at the bedside to destroy the intracranial epileptogenic focus or important nodes of the epilepsy network to cure or control epilepsy, thus realizing the integration of epilepsy diagnosis and treatment.

[0148] See also Figure 3 , is a schematic flow chart of a method for locating an epileptogenic zone provided in an embodiment of the present application, and the method may include the following steps:

[0149] Step S301: Acquire the user's scalp EEG data.

[0150] Step S302: Obtain the first epileptogenic zone positioning result based on the scalp EEG data.

[0151] Step S303: Acquire medical imaging data of the user's brain.

[0152] Step S304: Obtain the second epileptogenic zone positioning result according to the medical image data.

[0153] Step S305: Acquire intracranial electroencephalogram data collected by intracranial electrodes, where the intracranial electrodes are electrodes implanted in the user's skull.

[0154] Step S306: Obtain the localization result of the third epileptogenic zone according to the intracranial EEG data.

[0155] Step S307: construct a three-dimensional digital brain anatomical model based on the medical imaging data.

[0156] Step S308: superimpose and fuse the first epileptogenic zone positioning result, the second epileptogenic zone positioning result and the third epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model to obtain a first fused positioning result.

[0157] In some possible implementations, the method also includes: constructing a lead field matrix based on medical imaging data; extracting EEG signal features from EEG data; performing inverse problem processing based on the EEG signal features, the lead field matrix, and the three-dimensional digital brain anatomical model to obtain a fourth epileptogenic zone localization result; superimposing and fusing the fourth epileptogenic zone localization result with the first fusion localization result to obtain a second fusion localization result.

[0158] In some possible implementations, the EEG data includes scalp EEG data and intracranial EEG data; inverse problem processing is performed based on EEG signal characteristics, a lead field matrix, and a three-dimensional digital brain anatomical model to obtain a fourth epileptogenic zone positioning result, including: extracting a first EEG signal feature from the scalp EEG data; extracting a second EEG signal feature from the intracranial EEG data; performing inverse problem processing based on the first EEG signal feature, the second EEG signal feature, the lead field matrix, and a three-dimensional digital brain anatomical model to obtain a fourth epileptogenic zone positioning result; the EEG signal features include the first EEG signal features and the second EEG signal features.

[0159] In some possible implementations, the method further includes: acquiring first video data, the first video data being data obtained by synchronously acquiring video of the user when acquiring scalp EEG data of the user; acquiring second video data, the second video data being data obtained by synchronously acquiring video of the user when acquiring intracranial EEG data of the user;

[0160] At this time, obtaining the first epileptogenic zone positioning result according to the scalp EEG data includes: obtaining the first epileptogenic zone positioning result according to the epileptic seizure symptoms recorded by the first video data and the scalp EEG data;

[0161] Obtaining a third epileptogenic zone positioning result according to the intracranial EEG data, including: obtaining the third epileptogenic zone positioning result according to different epileptic seizure symptoms recorded by the second video data and the scalp EEG data.

[0162] In some possible implementations, the first epileptogenic zone localization result, the second epileptogenic zone localization result, and the third epileptogenic zone localization result are superimposed and fused to the three-dimensional digital brain anatomical model to obtain a first fused localization result, including:

[0163] Obtain preoperative and postoperative images before and after intracranial electrode implantation surgery;

[0164] Based on preoperative and postoperative images, the contacts of the intracranial electrodes are mapped onto a three-dimensional digital brain anatomical model;

[0165] According to the correspondence between the contacts of the intracranial electrodes and the mapped contacts on the three-dimensional digital brain anatomical model, the localization results of the third epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model;

[0166] Acquire an image of a user wearing a scalp EEG acquisition device;

[0167] Register the image and medical imaging data to obtain a registration relationship;

[0168] Based on the registration relationship, the electrodes of the scalp EEG acquisition device are mapped to the three-dimensional digital brain anatomical model;

[0169] According to the correspondence between the electrodes of the scalp EEG acquisition device and the mapping electrodes of the three-dimensional digital brain anatomical model, the localization result of the first epileptogenic zone is superimposed and fused to the three-dimensional digital brain anatomical model;

[0170] The localization results of the second epileptogenic zone are superimposed and fused to the three-dimensional digital brain anatomical model.

[0171] In some possible implementations, the medical imaging data includes MRI images and PET images;

[0172] Based on the medical imaging data, the results of the second epileptogenic zone localization are obtained, including:

[0173] The epileptogenic focus is identified on the MRI image to obtain the MRI epileptogenic zone localization result; the epileptogenic focus is identified on the PET image to obtain the PET epileptogenic zone localization result; the second epileptogenic zone localization result includes the MRI epileptogenic zone localization result and the PET epileptogenic zone localization result.

[0174] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0175] It should be noted that the method embodiment and system embodiment of the above-mentioned epileptogenic zone locating method are based on the same concept. Their specific functions and technical effects can be found in the system embodiment part above, and will not be repeated here.

[0176] Figure 4 This is a schematic diagram of the structure of an epileptogenic zone positioning device provided in one embodiment of the present application. Figure 4 As shown, the epileptogenic zone positioning device of this embodiment includes: at least one processor 40 ( Figure 4 Only one is shown in the figure), a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, wherein the processor 40 implements the steps of any of the above method embodiments when executing the computer program 42.

[0177] The epileptogenic zone positioning device may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The epileptogenic zone positioning device may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 These are merely examples of the epileptogenic zone locating device and do not constitute a limitation of the epileptogenic zone locating device. The device may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the device may also include input and output devices, network access devices, etc.

[0178] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0179] In some embodiments, the memory 41 may be an internal storage unit of the epileptogenic zone locating device, such as a hard disk or memory of the epileptogenic zone locating device. In other embodiments, the memory 41 may also be an external storage device of the epileptogenic zone locating device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the epileptogenic zone locating device. Further, the memory 41 may also include both an internal storage unit and an external storage device of the epileptogenic zone locating device. The memory 41 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0180] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0181] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0182] An embodiment of the present application provides a computer program product. When the computer program product is run on an epileptogenic zone locating device, the steps in the above-mentioned method embodiments can be implemented when the electronic device executes the computer program product.

[0183] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0184] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0185] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0186] In the embodiments provided in the present application, it should be understood that the disclosed devices, electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0187] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0188] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An epileptogenic zone localization system, characterized in that: include: The scalp EEG positioning module is used to: obtain the scalp EEG data of the user; and obtain the first epileptogenic zone positioning result according to the scalp EEG data; An image positioning module, used to: obtain medical image data of the user's brain; and obtain a second epileptogenic zone positioning result based on the medical image data; An intracranial EEG localization module is used to: obtain intracranial EEG data collected by intracranial electrodes, wherein the intracranial electrodes are electrodes implanted in the user's skull; and obtain a localization result of the third epileptogenic zone based on the intracranial EEG data; A fusion positioning module is used to: construct a three-dimensional digital brain anatomical model based on the medical image data; superimpose and fuse the first epileptogenic zone positioning result, the second epileptogenic zone positioning result and the third epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model to obtain a first fusion positioning result.

2. The system according to claim 1, characterized in that Also includes a source localization module; The source localization module is used to: construct a lead field matrix according to the medical imaging data; extract EEG signal features from the EEG data; perform inverse problem processing according to the EEG signal features, the lead field matrix, and the three-dimensional digital brain anatomical model to obtain the fourth epileptogenic zone localization result; The fusion localization module is further used to: superimpose and fuse the fourth epileptogenic zone localization result with the first fusion localization result to obtain a second fusion localization result.

3. The system according to claim 2, characterized in that The EEG data includes the scalp EEG data and the intracranial EEG data; The source localization module is specifically used to: extract a first EEG signal feature from the scalp EEG data; extract a second EEG signal feature from the intracranial EEG data; perform inverse problem processing according to the first EEG signal feature, the second EEG signal feature, the lead field matrix, and the three-dimensional digital brain anatomical model to obtain the fourth epileptogenic zone localization result; The EEG signal features include the first EEG signal features and the second EEG signal features.

4. The system according to claim 1, characterized in that The scalp EEG positioning module is also used to: obtain first video data, where the first video data is data obtained by synchronously collecting video of the user when collecting scalp EEG data of the user; The scalp EEG localization module is specifically used to obtain the first epileptogenic zone localization result according to the epileptic seizure symptoms recorded by the first video data and the scalp EEG data; The intracranial EEG positioning module is also used to: obtain second video data, where the second video data is data obtained by synchronously collecting video of the user when collecting intracranial EEG data of the user; The intracranial EEG localization module is specifically used to obtain the localization result of the third epileptogenic zone according to different epileptic seizure symptoms recorded by the second video data and the scalp EEG data.

5. The system according to any one of claims 1 to 4, characterized in that: It also includes a control unit and a radio frequency thermocoagulation generator; the control unit is connected to the radio frequency thermocoagulation generator, and the radio frequency thermocoagulation generator is connected to the contact point of the target intracranial electrode; The target intracranial electrode is an electrode determined from the intracranial electrodes according to the first fusion positioning result or the second fusion positioning result; The control unit is used to control the radio frequency thermocoagulation generator to destroy the epileptogenic zone corresponding to the target intracranial electrode.

6. The system according to claim 1, characterized in that The fusion positioning module is specifically used for: Obtain preoperative and postoperative images before and after intracranial electrode implantation surgery; Mapping the contacts of the intracranial electrodes onto the three-dimensional digital brain anatomical model according to the preoperative image and the postoperative image; According to the correspondence between the contacts of the intracranial electrodes and the mapped contacts on the three-dimensional digital brain anatomical model, superimposing and fusing the third epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model; Acquire an image of the user wearing a scalp EEG acquisition device; Registering the image and the medical imaging data to obtain a registration relationship; According to the registration relationship, mapping the electrodes of the scalp EEG acquisition device to the three-dimensional digital brain anatomical model; According to the correspondence between the electrodes of the scalp EEG acquisition device and the mapping electrodes of the three-dimensional digital brain anatomical model, superimposing and fusing the first epileptogenic zone positioning result onto the three-dimensional digital brain anatomical model; The second epileptogenic zone localization result is superimposed and fused to the three-dimensional digital brain anatomical model.

7. The system according to claim 6, characterized in that The image positioning module is specifically used for: Acquire an MRI image and a PET image, wherein the medical imaging data includes the MRI image and the PET image; Identifying the epileptogenic focus on the MRI image to obtain the MRI epileptogenic zone localization result; Identifying the epileptogenic focus on the PET image to obtain a PET epileptogenic zone localization result; The second epileptogenic zone localization result includes the MRI epileptogenic zone localization result and the PET epileptogenic zone localization result.

8. A method for locating an epileptogenic zone, characterized in that: include: Obtain the user's scalp EEG data; According to the scalp EEG data, obtaining the first epileptogenic zone localization result; Acquiring medical imaging data of the user's brain; Obtaining a second epileptogenic zone positioning result according to the medical imaging data; Acquiring intracranial electroencephalogram data collected by intracranial electrodes, wherein the intracranial electrodes are electrodes implanted in the user's skull; According to the intracranial EEG data, obtaining the localization result of the third epileptogenic zone; constructing a three-dimensional digital brain anatomical model according to the medical imaging data; The first epileptogenic zone localization result, the second epileptogenic zone localization result and the third epileptogenic zone localization result are superimposed and fused to the three-dimensional digital brain anatomical model to obtain a first fused localization result.

9. The method according to claim 8, characterized in that The method further comprises: constructing a lead field matrix according to the medical imaging data; Extract EEG signal features from EEG data; According to the EEG signal characteristics, the lead field matrix, and the three-dimensional digital brain anatomical model, inverse problem processing is performed to obtain the fourth epileptogenic zone positioning result; The fourth epileptogenic zone localization result is superimposed and fused with the first fusion localization result to obtain a second fusion localization result.

10. An epileptogenic zone localization device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 8 to 9 is implemented.

Images