Brain blood oxygen response monitoring method, device, equipment and storage medium

Abstract

The present application relates to the field of computers and discloses a method, device, equipment and storage medium for monitoring brain blood oxygen response. The method includes obtaining a magnetic resonance image of the subject's brain and performing structural extraction to obtain a skull contour; constructing a three-dimensional optode helmet body for fitting the skull contour, and setting a high-density optode plug position on the target brain area of ​​the three-dimensional optode helmet body, and then using 3D printing technology to print the optode cap; respectively obtaining the three-dimensional coordinates of each position in the high-density optode and the target brain area, and determining the mapping relationship between the two by using a diffuse optical tomography method; obtaining and monitoring the blood oxygen response signal at each position in the target brain area by using the high-density optode. The embodiment of the present application realizes the individualization of blood oxygen response signal acquisition based on the personalized optode cap constructed based on the brain tissue of the subject, thereby improving the spatial positioning of the target brain area and the acquisition accuracy of its blood oxygen response signal.

Description

Technical Field

[0001] The present application relates to the field of computers, and in particular to a method, apparatus, device, and storage medium for monitoring brain blood oxygen response. Background Art

[0002] In recent years, functional near-infrared imaging (fNIRS) has been frequently used to detect changes in cerebral cortical blood flow. Its principle is to inject two wavelengths of near-infrared light into the brain and detect changes in the intensity of the scattered near-infrared light. By referring to the absorption coefficients of oxygenated and deoxygenated hemoglobin for different wavelengths of near-infrared light, the change in light intensity can be used to determine the change in hemoglobin, which in turn reflects the change in blood oxygenation in the cerebral cortex at that location. This change in blood oxygenation can then be used to infer the neural response of the cerebral cortex at that location. Near-infrared emitters and receivers are typically arranged according to the 10-10 international system, with adjacent electrodes spaced approximately 3 cm apart. This ensures that the beam depth is sufficient to reach the cerebral cortex. Furthermore, fNIRS uses a continuous wave method, placing the light source and detector at closely spaced electrodes. Two wavelengths of near-infrared light are used to measure changes in hemoglobin in the cortex. A pair of near-infrared emitters and an absorption sensor form a channel, which is used to collect the cortical blood oxygenation response signal.

[0003] However, in clinical applications, when using functional near-infrared imaging methods to collect blood oxygen response signals through an optode cap equipped with a high-density optode channel, the optode cap is not customized, making it difficult to accurately determine the spatial correspondence between the high-density optode and the individual's cerebral cortex, which in turn leads to low monitoring accuracy of the blood oxygen response signal of the cerebral cortex. Summary of the Invention

[0004] In view of this, in order to solve the problems existing in the prior art, the present application provides a brain blood oxygen response monitoring method, device, equipment and storage medium.

[0005] In a first aspect, the present application provides a method for monitoring brain blood oxygen response, comprising:

[0006] Acquiring a magnetic resonance image of the subject's brain, performing structure extraction based on the magnetic resonance image, and obtaining brain information, wherein the brain information includes a skull contour;

[0007] Constructing a three-dimensional optode helmet body that fits the skull contour, setting a high-density optode insertion position on the target brain area of ​​the three-dimensional optode helmet body, and then printing the corresponding optode cap using 3D printing technology;

[0008] Using diffuse optical tomography, the detection channel formed by the high-density optode and each position in the target brain region are traced and analyzed to obtain a mapping relationship between the detection channel and each position in the target brain region;

[0009] The blood oxygen response signal at the target brain area of ​​the subject is obtained and monitored through the high-density photode set at the corresponding socket position in the photode cap, and then the blood oxygen response signal corresponding to each position in the target brain area is determined through the mapping relationship.

[0010] In an optional embodiment, the step of setting the insertion position of the high-density optode on the target brain area of ​​the three-dimensional optode helmet comprises:

[0011] The jack position of the high-density optocoupler is configured according to the brain tissue structure in the brain information; wherein the high-density optocoupler arranged at the jack position is used to collect the blood oxygen response signal of the corresponding brain tissue structure.

[0012] In an optional embodiment, the high-density optode includes a short-channel optode and a long-channel optode arranged in a stacked manner, and the high-density optode arranged at the corresponding jack position in the optode cap is used to obtain and monitor the blood oxygen response signal at the target brain area of ​​the subject, including:

[0013] Acquiring a brain blood oxygen response signal at a target brain area of ​​the subject through a high-density optode provided at a corresponding socket position in the optode cap;

[0014] The blood oxygen response signal of the brain is divided into the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode, wherein the short-channel optode is used to collect the blood oxygen response signal at the scalp, and the long-channel optode is used to collect the blood oxygen response signals at the scalp and the cortex respectively;

[0015] According to the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

[0016] In an optional embodiment, the short channel optode and the long channel optode both include a receiving electrode and an emitting electrode used in conjunction with each other, and a detection channel is formed between one of the receiving electrodes and one of the emitting electrodes;

[0017] Similar photodes in the short channel photodes and the long channel photodes are all arranged in a square shape, different photodes are all arranged diagonally and staggered, and adjacent photodes of the same type are spaced by a preset distance.

[0018] In an optional embodiment, the diffuse optical tomography method includes any one of a finite element analysis algorithm and a Monte Carlo analysis algorithm.

[0019] In a second aspect, the present application provides a brain blood oxygen response monitoring device, comprising:

[0020] a segmentation module, configured to obtain a magnetic resonance image of the subject's brain, perform structure extraction based on the magnetic resonance image, and obtain brain information, wherein the brain information includes a skull contour;

[0021] A construction module is used to construct a three-dimensional optode helmet body that fits the contour of the skull, and to set the insertion position of the high-density optode on the target brain area of ​​the three-dimensional optode helmet body, and then to print the corresponding optode cap using 3D printing technology;

[0022] An acquisition module, configured to respectively acquire the three-dimensional coordinates of the high-density optode and each position in the target brain region in three-dimensional space;

[0023] a mapping module, configured to simulate the photon propagation paths of the high-density optode and each position within the target brain region by using a diffusion optical tomography method according to the three-dimensional coordinates of the high-density optode and the target brain region, so as to determine a mapping relationship between the high-density optode and each position within the target brain region;

[0024] The monitoring module is used to obtain and monitor the blood oxygen response signal at the target brain area of ​​the subject through the high-density optode set at the corresponding jack position in the optode cap, and then determine the blood oxygen response signal corresponding to each position in the target brain area through the mapping relationship.

[0025] In an optional embodiment, the building block is further specifically configured to:

[0026] The jack position of the high-density optocoupler is configured according to the brain tissue structure in the brain information; wherein the high-density optocoupler arranged at the jack position is used to collect the blood oxygen response signal of the corresponding brain tissue structure.

[0027] In an optional embodiment, the high-density optode includes a short-channel optode and a long-channel optode that are stacked, and the monitoring module is specifically configured to:

[0028] Acquiring a brain blood oxygen response signal at a target brain area of ​​the subject through a high-density optode provided at a corresponding socket position in the optode cap;

[0029] The blood oxygen response signal of the brain is divided into the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode, wherein the short-channel optode is used to collect the blood oxygen response signal at the scalp, and the long-channel optode is used to collect the blood oxygen response signals at the scalp and the cortex respectively;

[0030] According to the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

[0031] In a third aspect, the present application provides a computer device comprising a memory and at least one processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the aforementioned brain blood oxygen response monitoring method.

[0032] In a fourth aspect, the present application provides a computer storage medium storing a computer program, which, when executed, implements the aforementioned method for monitoring brain blood oxygen response.

[0033] The embodiments of the present application have the following beneficial effects:

[0034] An embodiment of the present application provides a method for monitoring brain blood oxygen response, the method comprising obtaining a magnetic resonance image of a subject's brain, performing structural extraction based on the magnetic resonance image, and obtaining a skull contour; constructing a three-dimensional optode cap body for fitting the skull contour, and setting a socket position for a high-density optode on a target brain region of the three-dimensional optode cap body, and then printing a corresponding optode cap using 3D printing technology; obtaining the three-dimensional coordinates of the high-density optode and each position in the target brain region in three-dimensional space; simulating the photon propagation path of the high-density optode and each position in the target brain region using a diffuse optical tomography method based on the three-dimensional coordinates of the high-density optode and the target brain region, so as to determine a mapping relationship between the high-density optode and each position in the target brain region; obtaining and monitoring the blood oxygen response signal at the target brain region of the subject through the high-density optode set at the corresponding socket position in the optode cap, and then determining the blood oxygen response signal corresponding to each position in the target brain region through the mapping relationship. In the embodiment of the present application, the brain is segmented by magnetic resonance images to construct and print an optode cap that fits the skull contour of the subject and can be provided with high-density optodes, so as to achieve personalized customization of the optode cap; and the mapping relationship between the detection channels corresponding to the high-density optodes and the various positions of the target brain area is determined. When the blood oxygen response signal is collected by the optode cap, the spatial correspondence between each optode and the individual cerebral cortex can be accurately determined, thereby correspondingly improving the accuracy and reliability of individual collection and monitoring of the blood oxygen response signal of the target brain area. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solution of this application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of this application and should not be regarded as limiting the scope of protection of this application. In each of the drawings, similar components are numbered similarly.

[0036] Figure 1 A schematic diagram of a first embodiment of a method for monitoring cerebral blood oxygen response in an embodiment of the present application is shown;

[0037] Figure 2a A schematic diagram of a short channel optode in an embodiment of the present application is shown;

[0038] Figure 2b A schematic diagram of a long channel optode in an embodiment of the present application is shown;

[0039] Figure 2c A schematic diagram of a high-density optode in an embodiment of the present application is shown;

[0040] Figure 3 A schematic structural diagram of a brain blood oxygen response monitoring device in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0042] The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but rather merely represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort are within the scope of protection of the present application.

[0043] Hereinafter, the terms "including", "having" and their cognates, which may be used in various embodiments of the present application, are intended only to indicate specific features, numbers, steps, operations, elements, components or combinations of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing items or the possibility of adding one or more features, numbers, steps, operations, elements, components or combinations of the foregoing items.

[0044] Furthermore, the terms “first,” “second,” “third,” etc., are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0045] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meaning as in the context of the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning unless clearly defined in the various embodiments of the present application.

[0046] When using functional near-infrared imaging to monitor cortical blood oxygen response signals, near-infrared light projected into the cortex passes through the scalp. When monitoring changes in the brain's blood oxygen response signals, specifically the cortical blood oxygen response signals, the collected blood oxygen response signals also contain interference sources such as the scalp blood oxygen response signals, resulting in a low signal-to-noise ratio and low accuracy in monitoring the cortical blood oxygen response signals. Furthermore, the functional near-infrared imaging method uses a low density of photodiodes, which leads to low spatial resolution of near-infrared imaging. Furthermore, this functional near-infrared imaging method requires wearing a uniform photodiode cap, which is prone to large errors when manually wearing a photodiode cap, resulting in low retest reliability. When performing hierarchical analysis of blood oxygen response signals collected from various brain tissue structures, there is a lack of anatomical specificity (i.e., a lack of spatial correspondence between the photodiodes and individual cerebral cortexes), resulting in low traceability accuracy and difficulty in reducing interference sources in the collected signals, thus resulting in low reliability of the monitoring results.

[0047] Currently, some solutions have been provided for the above problems, such as purchasing additional customized optodes to detect cortical blood oxygen response signals and thus remove interference; using a three-dimensional locator (i.e., a 3D locator) to record the three-dimensional coordinates of each optode before monitoring, and correcting them during subsequent analysis; spatially aligning the three-dimensional coordinates of the optode with the subject's magnetic resonance image (i.e., MRI image), thereby obtaining the corresponding relationship between the channel and the cortex and improving the traceability accuracy. However, purchasing additional equipment (such as customized optodes and 3D locators) will significantly increase the cost of use; using a 3D locator to record the three-dimensional coordinates of the optodes one by one is complex and time-consuming, and the subject's head cannot move during the process. These factors have seriously hindered the practical application of near-infrared imaging methods, resulting in low efficiency, low accuracy, and low reliability in monitoring blood oxygen response signals.

[0048] Based on this, this embodiment provides a method for monitoring brain blood oxygen response, which is specifically illustrated by collecting blood oxygen response signals at the cerebral cortex as an example. By segmenting the brain of the magnetic resonance image to construct and print an optocoupler cap that fits the skull contour of the subject and can be set with high-density optocouplers, the interference of blood oxygen response signals such as scalp blood oxygen response signals in the blood oxygen response signals collected by the optocoupler cap is removed through a short-channel filtering algorithm and a diffuse optical tomography imaging method, so that the blood oxygen response signal of the target brain area (such as the cerebral cortex) is finally collected, thereby improving the accuracy and reliability of blood oxygen response signal collection and monitoring.

[0049] Please refer to Figure 1 , the brain blood oxygen response monitoring method is described in detail below.

[0050] S10, obtaining a magnetic resonance image of the subject's brain, performing structure extraction based on the magnetic resonance image, and obtaining brain information; the brain information includes a skull contour.

[0051] Exemplarily, corresponding software can be used to perform brain structure segmentation based on the magnetic resonance image (i.e., MRI image), thereby obtaining the subject's brain information, specifically including brain region structure, skull contour, brain tissue structure, etc. The corresponding software can be selected or configured according to actual needs. For example, the software used can be Freesurfer cortical segmentation software, etc., which is not limited here.

[0052] S20, constructing a three-dimensional optode helmet body for fitting the skull contour, and setting the jack position of the high-density optode on the target brain area of ​​the three-dimensional optode helmet body, and then using 3D printing technology to print the corresponding optode cap.

[0053] In this embodiment, after obtaining the brain structure information of the subject, a three-dimensional photode cap body is constructed to fit the skull contour according to the skull structure corresponding to the subject's skull contour, and then the photode cap can be printed by using 3D printing technology. Subsequently, the blood oxygen response signal of the corresponding brain tissue structure of the subject can be individually collected through the photode cap.

[0054] Specifically, an individualized three-dimensional skull is constructed according to the skull contour of the subject, and then a three-dimensional optocoupler helmet body is constructed corresponding to the individualized three-dimensional skull; wherein the constructed three-dimensional optocoupler helmet body completely fits the individualized three-dimensional skull.

[0055] In this embodiment, the three-dimensional optode helmet body is constructed according to the skull contour of each subject. Thus, the printed optode helmet is completely adapted to the subject's skull morphology, avoiding the error in optode position caused by manual re-wearing, thereby correspondingly improving the accuracy of the subject's brain blood oxygen response signal acquisition. Optionally, the three-dimensional optode helmet body can be constructed using software such as Solidworks.

[0056] Furthermore, after the three-dimensional optode helmet body is constructed, the socket positions of the three-dimensional high-density optodes are modeled accordingly on the surface of the three-dimensional optode helmet body of the subject according to the individual brain tissue structure of the subject, so that the brain blood oxygen response signal at the target brain area of ​​the subject can be collected subsequently through the high-density optodes set at all the socket positions of the optode cap.

[0057] Specifically, the position of the three-dimensional high-density optode is modeled in the target brain area on the surface of the subject's three-dimensional optode helmet. The target brain area is the brain area that the subject needs to monitor. That is, high-density optodes are set at the location corresponding to the brain tissue where the blood oxygen response signal needs to be monitored to achieve accurate monitoring of the brain's blood oxygen response signal. Among them, the size and number of target brain areas can be set accordingly according to actual needs. The target brain areas of different subjects can be different, and the specific target brain areas to be monitored are not limited here. The specific target brain area to be monitored can be the motor cortex, etc.

[0058] It is important to note that the location of the modeled 3D high-density optodes is the location of the high-density optode plugs on the surface of the subject's 3D optode cap. When the corresponding optode cap is subsequently printed using 3D printing technology, the optodes are inserted at the corresponding locations of the high-density optode plugs.

[0059] S30, in three-dimensional space, respectively obtaining the three-dimensional coordinates of each position of the high-density optode and the target brain region.

[0060] S40, based on the three-dimensional coordinates of the high-density optode and the target brain area, simulate the photon propagation paths of the high-density optode and each position in the target brain area by using the diffuse optical tomography method to determine the mapping relationship between the high-density optode and each position in the target brain area.

[0061] S50, obtaining and monitoring the blood oxygen response signal at the target brain area of ​​the subject through the high-density optode set at the corresponding jack position in the optode cap.

[0062] After the photoelectrode cap is obtained by 3D printing, the blood oxygen response signal of the corresponding brain tissue structure in the target brain area of ​​the subject is collected through the high-density photoelectrode set at the corresponding socket position in the photoelectrode cap.

[0063] Specifically, the subject wears the photoelectrode cap on his head, and the photoelectrodes on the photoelectrode cap collect blood oxygen response signals at the corresponding scalp or cortex when the subject is stimulated, wherein the stimulation can be any one of motion stimulation, visual stimulation, auditory stimulation, etc., which is not limited here; and then the changes in the blood oxygen response signals within a preset time period can be collected and counted in real time, thereby monitoring the changes in the blood oxygen response signals in the target brain area.

[0064] It should be noted that the acquisition schemes used in this embodiment for collecting blood oxygen response signals include: periodic acquisition of changes in the blood oxygen response signal within the target brain region to monitor the blood oxygen response signal; and real-time acquisition and monitoring of changes in the blood oxygen response signal within the target brain region. The acquisition scheme can be configured based on actual needs, and the acquisition period corresponding to periodic acquisition can also be configured based on actual needs, and this embodiment does not limit this.

[0065] In this embodiment, high-density optodes are pre-configured and include short-channel optodes and long-channel optodes that are stacked.

[0066] Furthermore, the number of high-density optodes is determined based on the area of ​​the target brain region. The distribution of optodes in each channel of the high-density optode is determined accordingly, so that the high-density optodes cover the entire target brain region.

[0067] In addition, each channel of the high-density optode is used to collect blood oxygen response signals from different brain tissues. Among them, the short-channel optode is used to collect blood oxygen response signals from the scalp, and the long-channel optode is used to collect blood oxygen response signals from the scalp and cortex.

[0068] The high-density optode provided in this embodiment has a stacked arrangement of short-channel optodes and long-channel optodes, and the channel density of these two layers is much higher than the current standard channel configuration of functional near-infrared spectroscopy (fNIRS), thereby improving the accuracy and reliability of obtaining blood oxygen response signals.

[0069] In one embodiment, please refer to Figure 2a 、 Figure 2b and Figure 2c , both the short channel optocoupler and the long channel optocoupler include a receiving electrode (such as Figure 2a S1-S10 shown) and emitter (as Figure 2aAs shown in D1-D10), a detection channel is formed between a receiving electrode and an emitting electrode; wherein, the channels in the long channel photoelectrode overlap with each other; similar photoelectrodes in the short channel photoelectrode and the long channel photoelectrode are arranged in a square shape, and different types of photoelectrodes are arranged diagonally staggered, and adjacent similar photoelectrodes are spaced by a preset distance, and the specific value of the preset distance is not limited here.

[0070] Specifically, a "banana-shaped" detection channel is formed between a receiving electrode and an emitting electrode, and the cortical blood oxygen response signal corresponding to the midpoint of the detection channel is monitored. This embodiment can be simply understood as monitoring the cortical blood oxygen response signal between a receiving electrode and an emitting electrode.

[0071] It is worth noting that the spacing between various types of optodes and the channel lengths in various types of channel optodes can be set accordingly according to actual needs and are not limited here.

[0072] Preferably, the channel length of the short channel should generally not be longer than 1.5 cm to avoid the collection of cortical blood oxygen response by an overly long channel. Similarly, the channel length of the long channel should not be too short, specifically generally around 2 cm, otherwise the cortical blood oxygen response cannot be collected; for example, the spacing between adjacent similar optodes is 2 cm; the length of each channel of the short channel optode is 1.42 cm, and the length of each channel of the long channel optode is 3.18 cm.

[0073] Furthermore, the diffuse optical tomography method was used to trace the high-density optodes and various positions in the target brain area, and the mapping relationship between the high-density optodes and various positions in the target brain area was obtained. Then, through the mapping relationship, the blood oxygen response signals corresponding to various positions in the target brain area were determined.

[0074] In order to better ensure the accuracy of blood oxygen response signal acquisition and subsequent monitoring of its changes, a mapping relationship is established between the position of the high-density optode and each position within the target brain area. That is, it is determined which position of the target brain area each channel optode corresponds to, so that it can be determined which brain tissue or cortical position each channel optode specifically collects the blood oxygen response signal, which facilitates the subsequent monitoring and recording of changes in the blood oxygen response signal at a specific position.

[0075] In this embodiment, a diffuse optical tomography method is used to determine the mapping relationship between each channel optode and each location within the target brain region. Optionally, the diffuse optical tomography method includes any one of a finite element analysis algorithm and a Monte Carlo analysis algorithm, or the diffuse optical tomography method can be configured according to actual needs, which is not limited here.

[0076] In one embodiment, if Figure 3 As shown, the above step S50 specifically includes the following steps:

[0077] S51, obtaining the brain blood oxygen response signal at the target brain area of ​​the subject through the high-density optode set at the corresponding jack position in the optode cap.

[0078] S52, dividing the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode from the brain blood oxygen response signal.

[0079] S53, based on the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

[0080] When the subject is stimulated, such as when the subject's fingers, elbows and ankles move, the subject's brain blood oxygen response signal is captured in real time through the high-density photode on the photode cap.

[0081] Among them, the short-channel optode can only capture the blood oxygen response signal at the scalp due to its limited detection depth, while the long-channel optode can simultaneously record the blood oxygen response signals of the scalp and cortex.

[0082] Furthermore, a hierarchical analysis is performed on the blood oxygen response signals collected by each channel optode. Specifically, a short-channel filtering algorithm is used to regress and remove the scalp blood oxygen response signals collected by the short-channel optode from the long-channel, thereby improving the signal-to-noise ratio and the accuracy of blood oxygen response signal collection. In other words, the scalp blood oxygen response signals collected by the short-channel optode are used as a reference, and the scalp blood oxygen response signals collected by the long-channel optode are eliminated, retaining only the cortical blood oxygen response signals. This cortical blood oxygen response signal is then used to capture the brain blood oxygen response signal captured by the high-density optode.

[0083] It should be noted that the short channel filtering algorithm is a filtering algorithm used to filter interference values ​​in the signal. The short channel filtering algorithm can be set accordingly according to actual needs and is not limited here.

[0084] It is worth noting that this embodiment uses diffuse optical tomography to perform traceability analysis to construct a mapping relationship between high-density optodes and various positions in the target brain area. The purpose is to determine the blood oxygen response signals of various positions in the target brain area obtained by the high-density optode through this mapping relationship, thereby stripping out the blood oxygen response signals corresponding to irrelevant layers (such as scalp, skull, cerebrospinal fluid, white matter and other brain structures) in the collected blood oxygen response signals, and then only obtaining the blood oxygen response signals corresponding to the cerebral cortex (i.e., gray matter) to avoid interference from the blood oxygen response signals of irrelevant layers, thereby improving the acquisition accuracy and monitoring accuracy of the blood oxygen response signals of the cerebral cortex.

[0085] When high-density optodes are set on the surface of the three-dimensional optode helmet, the coordinate position (i.e., three-dimensional coordinates) of each channel optode and the three-dimensional coordinates of each position in the target brain area are determined in the three-dimensional space; then, the photon propagation path between the high-density optode and each position in the target brain area is simulated by the diffuse optical tomography method to determine the correspondence between each channel optode and each position in the target brain area, that is, a photon propagation path can be formed between the channel optode (an emitter and a receiver) and each position in the target brain area, and the cortical position that can be detected by its photon propagation path is the mapping point of the channel optode in the target brain area, thereby determining the mapping relationship (i.e., the correspondence) between the channel optode and the mapping point.

[0086] Subsequently, the blood oxygen response signal obtained at the position to be monitored in the target brain area can be determined through the mapping relationship between the high-density optode and each position of the target brain area; then, the required cortical blood oxygen response signal can be accurately obtained from the blood oxygen response signals collected by the short-channel optode and the long-channel optode in the high-density optode at that position.

[0087] Furthermore, in this embodiment, on the one hand, through tracing the source analysis, the spatial correspondence between each optocoupler and the individual cerebral cortex is determined, and the mapping relationship between each optocoupler and each position of the target brain area is constructed, so as to facilitate the subsequent positioning of the position to be monitored in the target brain area and the accurate acquisition of the blood oxygen response signal at that position based on the mapping relationship; on the other hand, the short-channel optocoupler and the long-channel optocoupler corresponding to the position are used to strip the blood oxygen response signal of the irrelevant layer from the blood oxygen response signal of the position, and only the cortical blood oxygen response signal to be monitored is retained; through the above two processes, the target position to be monitored is accurately positioned and the blood oxygen response signal of the target layer is accurately acquired, thereby improving the acquisition accuracy of the blood oxygen response signal.

[0088] In practical applications, the method provided in this embodiment uses Monte Carlo analysis to simulate photon propagation paths based on the segmented individual brain tissue information to obtain a sensitivity matrix. This propagation matrix is ​​then used to perform source tracing analysis to further remove interference from the scalp blood oxygen response signal in the collected blood oxygen response signal, thereby improving the acquisition accuracy of the cortical blood oxygen response signal. It can be understood that, first, a hierarchical analysis is performed on the blood oxygen response signal collected by the high-density optodes to preprocess the collected blood oxygen response signals from all cortex and scalp layers using short-channel regression to remove scalp blood flow artifacts from the blood oxygen response signal. Then, based on the individual brain tissue information, a source tracing matrix is ​​solved and hierarchical source tracing is performed to further remove scalp blood flow interference and obtain cortical response source tracing results, thereby improving signal acquisition efficiency and accuracy and ensuring the reliability of subsequent monitoring results of changes in the blood oxygen response signal.

[0089] Specifically, the embodiment of the present application integrates individual MRI structural image information, 3D printing technology, and diffuse optical tomography methods, achieving improved imaging accuracy, repeatability, and convenience compared to near-infrared brain functional imaging. The embodiment of the present application segments the brain portion of the magnetic resonance image to construct and print an optode cap that fits the skull contour of the subject and is equipped with a high-density optode. The short-channel filtering algorithm is used to remove interference from the scalp blood oxygen response signal in the blood oxygen response signal collected by the optode cap, thereby improving the accuracy and reliability of blood oxygen response signal acquisition and monitoring.

[0090] It is worth noting that both the short-channel filtering algorithm and the diffuse optical tomography method require the use of a high-density optode channel. In actual application scenarios, high-density optodes are difficult to locate and configure accordingly. In this embodiment, by constructing an individualized optode cap, optodes are configured in the individualized optode cap according to the individual's skull contour, thereby achieving precise positioning of the optodes and configuring high-density optodes. Therefore, the personalized construction of the optode cap improves the convenience of optode positioning and configuration, thereby promoting the application of the short-channel filtering algorithm and the diffuse optical tomography method.

[0091] In the embodiments of the present application, on the one hand, a personalized photode cap is constructed based on the skull contour of the subject, and then the blood oxygen response signal of the target brain area is collected by the high-density photode set on the personalized photode cap, which accordingly realizes the individualization of blood oxygen response signal collection, thereby improving the collection accuracy of the blood oxygen response signal of the target brain area, and the production process of the photode cap is simple and the production cost is low. In addition, the personalized photode cap also avoids the error caused by the subject wearing an inappropriate photode cap to a certain extent, and can be effectively used in clinical medicine; on the other hand, the interference of the scalp blood oxygen response signal collected by the long-channel photode in the high-density photode is removed by the short-channel filtering algorithm, thereby improving the accuracy and reliability of blood oxygen response signal collection and monitoring; on the third hand, the diffusion optical tomography is used to form a The method is used to trace the source to determine the spatial mapping relationship between the high-density optode and each position in the target brain area, thereby further removing the interference of signal interference sources such as the scalp blood oxygen response signal, so that the embodiment of the present application can effectively remove the interference of the surface scalp blood oxygen response signal, and the processed blood oxygen response signal is consistent with the experimental design (blood flow changes continue to increase during the task); Fourthly, compared with the traditional near-infrared brain functional imaging method, the present embodiment has higher spatial resolution and accuracy, and can effectively distinguish the blood oxygen response of the motor area cortex of the brain during movement of parts such as fingers, elbows and ankles in space, and its re-test reliability is higher, with better use effect, and thus has certain practicality, and can be flexibly applied to application scenarios with high precision requirements.

[0092] Please refer to Figure 3, an embodiment of the present application provides a brain blood oxygen response monitoring device, the device comprising:

[0093] a segmentation module 110 for acquiring a magnetic resonance image of the subject's brain, performing structure extraction based on the magnetic resonance image, and obtaining brain information, wherein the brain information includes a skull contour;

[0094] A construction module 120 is used to construct a three-dimensional optode helmet body that fits the skull contour, set a high-density optode insertion position on the target brain area of ​​the three-dimensional optode helmet body, and then print the corresponding optode cap using 3D printing technology;

[0095] An acquisition module 130 is used to respectively acquire the three-dimensional coordinates of the high-density optode and each position in the target brain region in three-dimensional space;

[0096] A mapping module 140 is configured to simulate, based on the three-dimensional coordinates of the high-density optode and the target brain region, photon propagation paths of the high-density optode and each position within the target brain region by using a diffusion optical tomography method to determine a mapping relationship between the high-density optode and each position within the target brain region;

[0097] The monitoring module 150 is used to obtain and monitor the blood oxygen response signal at the target brain area of ​​the subject through the high-density optode set at the corresponding jack position in the optode cap.

[0098] Further optionally, the construction module 120 is further specifically configured to:

[0099] The jack position of the high-density optocoupler is configured according to the brain tissue structure in the brain information; wherein the high-density optocoupler arranged at the jack position is used to collect the blood oxygen response signal of the corresponding brain tissue structure.

[0100] Further optionally, the high-density optode includes a short-channel optode and a long-channel optode that are stacked, and the monitoring module 150 is specifically configured to:

[0101] Acquiring a brain blood oxygen response signal at a target brain area of ​​the subject through a high-density optode provided at a corresponding socket position in the optode cap;

[0102] The blood oxygen response signal of the brain is divided into the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode, wherein the short-channel optode is used to collect the blood oxygen response signal at the scalp, and the long-channel optode is used to collect the blood oxygen response signals at the scalp and the cortex respectively;

[0103] According to the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

[0104] It can be understood that the device of this embodiment corresponds to the brain blood oxygen response monitoring method of the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be repeated here.

[0105] The present application also provides a computer device, which may be, but is not limited to, a desktop computer, a laptop, a smartphone, a tablet, or the like. Its form is not limited, depending primarily on whether it supports browser web page interface display functions. Exemplarily, the computer device includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to cause the computer device to perform the brain blood oxygen response monitoring method of the present application.

[0106] Among them, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU) and a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or at least one of other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., which can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0107] The memory may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The memory is used to store a computer program, and the processor may execute the computer program accordingly after receiving an execution instruction.

[0108] In addition, the present application also provides a computer storage medium for storing the computer program used in the above-mentioned computer device, wherein when the computer program is executed on a processor, the brain blood oxygen response monitoring method of the above-mentioned embodiment is implemented.

[0109] For example, the computer storage medium may include, but is not limited to, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0110] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or flowchart, and the combination of boxes in the structure diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0111] In addition, the functional modules or units in the various embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0112] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a smart phone, personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.

[0113] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for monitoring brain blood oxygen response, characterized in that: include: Acquiring a magnetic resonance image of the subject's brain, performing structure extraction based on the magnetic resonance image, and obtaining brain information, wherein the brain information includes a skull contour; Constructing a three-dimensional optode helmet body that fits the skull contour, setting a high-density optode insertion position on the target brain area of ​​the three-dimensional optode helmet body, and then printing the corresponding optode cap using 3D printing technology; In three-dimensional space, respectively obtaining the three-dimensional coordinates of the high-density optode and each position in the target brain area; Simulating the photon propagation paths of the high-density optode and each position within the target brain region using a diffusion optical tomography method based on the three-dimensional coordinates of the high-density optode and the target brain region, respectively, to determine a mapping relationship between the high-density optode and each position within the target brain region; The blood oxygen response signal at the target brain area of ​​the subject is obtained and monitored through the high-density photode set at the corresponding socket position in the photode cap, and then the blood oxygen response signal corresponding to each position in the target brain area is determined through the mapping relationship.

2. The method for monitoring cerebral blood oxygen response according to claim 1, wherein: The method of setting the insertion position of the high-density optode on the target brain area of ​​the three-dimensional optode helmet comprises: The jack position of the high-density optocoupler is configured according to the brain tissue structure in the brain information; wherein the high-density optocoupler arranged at the jack position is used to collect the blood oxygen response signal of the corresponding brain tissue structure.

3. The method for monitoring cerebral blood oxygen response according to claim 1 or 2, characterized in that: The high-density optode includes a short-channel optode and a long-channel optode that are stacked. The high-density optode provided at the corresponding jack position in the optode cap acquires and monitors the blood oxygen response signal at the target brain area of ​​the subject, including: Acquiring a brain blood oxygen response signal at a target brain area of ​​the subject through a high-density optode provided at a corresponding socket position in the optode cap; The blood oxygen response signal of the brain is divided into the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode, wherein the short-channel optode is used to collect the blood oxygen response signal at the scalp, and the long-channel optode is used to collect the blood oxygen response signals at the scalp and the cortex respectively; According to the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

4. The method for monitoring cerebral blood oxygen response according to claim 3, wherein: The short channel optode and the long channel optode both include a receiving electrode and an emitting electrode used in conjunction with each other, and a detection channel is formed between one of the receiving electrodes and one of the emitting electrodes; Similar photodes in the short channel photodes and the long channel photodes are all arranged in a square shape, different photodes are all arranged diagonally and staggered, and adjacent photodes of the same type are spaced by a preset distance.

5. The method for monitoring cerebral blood oxygen response according to claim 1, wherein: The diffuse optical tomography method includes any one of a finite element analysis algorithm and a Monte Carlo analysis algorithm.

6. A brain blood oxygen response monitoring device, characterized in that: include: a segmentation module, configured to obtain a magnetic resonance image of the subject's brain, perform structure extraction based on the magnetic resonance image, and obtain brain information, wherein the brain information includes a skull contour; A construction module is used to construct a three-dimensional optode helmet body that fits the contour of the skull, and set the jack position of the high-density optode on the target brain area of ​​the three-dimensional optode helmet body, and then print the corresponding optode cap using 3D printing technology; An acquisition module, configured to respectively acquire the three-dimensional coordinates of the high-density optode and each position in the target brain region in three-dimensional space; a mapping module, configured to simulate the photon propagation paths of the high-density optode and each position within the target brain region by using a diffusion optical tomography method according to the three-dimensional coordinates of the high-density optode and the target brain region, so as to determine a mapping relationship between the high-density optode and each position within the target brain region; The monitoring module is used to obtain and monitor the blood oxygen response signal at the target brain area of ​​the subject through the high-density optode set at the corresponding jack position in the optode cap, and then determine the blood oxygen response signal corresponding to each position in the target brain area through the mapping relationship.

7. The brain blood oxygen response monitoring device according to claim 6, characterized in that: The building blocks are further specifically configured to: The jack position of the high-density optocoupler is configured according to the brain tissue structure in the brain information; wherein the high-density optocoupler arranged at the jack position is used to collect the blood oxygen response signal of the corresponding brain tissue structure.

8. The cerebral blood oxygen response monitoring device according to claim 6, characterized in that: The high-density optode includes a short-channel optode and a long-channel optode that are stacked, and the monitoring module is specifically used for: Acquiring a brain blood oxygen response signal at a target brain area of ​​the subject through a high-density optode provided at a corresponding socket position in the optode cap; The blood oxygen response signal of the brain is divided into the blood oxygen response signal collected by the short-channel optode and the blood oxygen response signal collected by the long-channel optode, wherein the short-channel optode is used to collect the blood oxygen response signal at the scalp, and the long-channel optode is used to collect the blood oxygen response signals at the scalp and the cortex respectively; According to the blood oxygen response signal collected by the short-channel optode, the blood oxygen response signal at the scalp collected by the long-channel optode is eliminated by a short-channel filtering algorithm to obtain the blood oxygen response signal corresponding to the cortex of the target brain area.

9. A computer device, characterized in that: The computer device includes a memory and at least one processor, the memory stores a computer program, and the processor is configured to execute the computer program to implement the method for monitoring cerebral blood oxygen response according to any one of claims 1 to 5.

10. A computer storage medium, characterized in that The device stores a computer program, which, when executed, implements the method for monitoring cerebral blood oxygen response according to any one of claims 1 to 5.

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