9 results about "Grey matter" patented technology

The application relates to the technical field of image processing, in particular to an MRI image feature extraction method for dynamic evaluation of child brain development, which comprises the following steps: determining a cerebrospinal fluid coefficient of a child brain; dividing an MRI image into a cerebrospinal fluid region and a residual brain region based on the cerebrospinal fluid coefficient of the child brain of each pixel point; determining a white matter coefficient of each pixel point in the residual brain region according to the gray value of each pixel point in the decayed weighted image of each pixel point in different gradient directions, and the gray value of each pixel point in the first weighted image and the second weighted image in the residual brain region; segmenting the white matter region and the gray matter region of the residual brain region based on the white matter coefficient, and extracting image features in the white matter region and the gray matter region. In this way, the accuracy and reliability of the segmentation result of different tissue regions in the child brain MRI image are improved.

The disclosed system provides an integrated neuroimaging analytics platform for comprehensive preoperative neurosurgical planning, intraoperative neurosurgical guidance and post-operative assessment by processing multimodal MRI (structural, diffusion, functional, and angiography) and CT data. The platform performs detailed anatomical characterization by delineating tumor subregions (peritumoral edema, enhancing tumor, and necrotic core), segmenting brain tissues (gray matter, white matter, and CSF), and executing lobe, cortical / subcortical parcellation. Advanced 3D rendering visualizes tumors alongside critical white matter fibre tracts derived from diffusion MRI, while MRA data is used to segment cerebrovascular structures, and functional MRI analysis identifies eloquent cortices associated with motor, speech, and visual functions. All results are integrated within a user-friendly GUI featuring advanced multiplanar slicing and a smart brush for interactive mask editing, complemented by a speech-to-text engine for streamlined analytical reporting. This comprehensive approach facilitates precise and efficient surgical planning, thereby enhancing patient safety and improving clinical outcomes.

The present application relates to neuromodulation and brain-computer interface technical field, propose a kind of robust optimization method and system under the condition of parameter uncertainty, robust optimization method includes constructing five-layer head tissue model including skin, skull, cerebrospinal fluid, grey matter and white matter based on the magnetic resonance image of patient, and the independent conductivity uncertainty radius of each layer of tissue is set, multi-dimensional ellipsoid uncertainty set is constructed;Min-Max worst case cost function is constructed and is solved, guarantee in ellipsoid set under the worst case, electrode current weight meets safety constraint;Worst case cost function is converted into second-order cone programming form using dual principle;Pseudo-trace perception sliding window mechanism is introduced to monitor the continuity of physiological signal or impedance data, when detecting non-physiological mutation, trigger re-optimization by calling historical stable parameters and amplifying uncertainty radius;When re-optimization has no solution, trigger safety derating mechanism, and the current instruction of previous period is scaled proportionally.

A biomechanically realistic brain model for impact testing comprises white matter simulant materials and gray matter simulant materials positioned to correspond with anatomical brain structure. The white matter simulant comprises anisotropic hydrogels with embedded magnetically-responsive, electrically-responsive, thermally-responsive, and / or mechanically-responsive particles that exhibit directionally-dependent stress-strain responses. The gray matter simulant comprises isotropic hydrogels or silicones, particularly siloxanes, that exhibit uniform stress-strain responses to applied forces. The materials are cast, injected, printed, or formed in anatomically correct positions and share realistic interfaces. The brain model accurately imitates physical brain responses during impact tests, particularly angular impacts, providing realistic testing results for biomechanical analysis.

This invention discloses a method, apparatus, device, storage medium, and program product for generating a head model. The key features include receiving and verifying original 3D T1-weighted image data and an original 3D mesh model; performing tissue segmentation based on the verified 3D T1-weighted image data and the original 3D T1-weighted image data to obtain gray matter masks, white matter masks, scalp masks, and skull masks; performing topological repair on the gray matter and white matter masks to obtain a brain mask; converting the scalp mask, skull mask, and brain mask into scalp mesh models, skull mesh models, and brain mesh models, respectively; calculating and applying the spatial transformation matrix from the verified 3D mesh model to the scalp mesh model; and performing spatial registration and fusion of the scalp mesh model, skull mesh model, and brain mesh model to obtain the head model. The advantages are that it effectively improves the efficiency, accuracy, and robustness of head model generation and has good cross-platform deployment capabilities.

A device or system for delivering fluid to or removing fluid from a CSF-containing space of a brain and for recording electrical activity from white or grey matter in the brain includes a catheter including a proximal end, a distal end portion, a first lumen extending from the proximal end to the distal end portion, and one or more electrodes positioned relative to the catheter a distance from a distal end of the catheter, such that the one or more electrodes would be placed in contact with white or grey matter of the brain if the distal end of the catheter were positioned in the CSF-containing space. The catheter may include the electrodes or a lead adjacent the catheter may include the electrodes.

The application discloses an AD judgment method and system based on gene difference and image research, the method filters out differential expression genes between AD patients and CN by using bioinformatics methods, carries out KEGG and GO analysis by selecting the most significant differential genes, simultaneously carries out double-sample T test on MRI images of AD and CN, filters out the highest expression brain tissue images of the differential expression genes from an HPA database, and determines that the gray matter is directly affected by the disease; the screened three-dimensional gray matter images are processed, and the processed images are taken as input data and input into a 3D-ECA-EfficientNet model; the model respectively obtains an accuracy of 97.51% and 93.36% in CN / AD and CN / MCI classification tasks. The method can more accurately understand early pathological characteristics of Alzheimer's disease and obtain higher classification accuracy.

This invention provides a brain tissue equivalent material for medical imaging equipment and its preparation method, belonging to the technical field of tissue equivalent materials. The brain tissue equivalent material of this invention comprises the following raw materials in the indicated mass fractions: 20-35% bisphenol A epoxy resin, 10-15% octyl glycidyl ether, 1-5% urea, 1-5% calcium carbonate, 1-5% sodium dihydrogen phosphate, 1-5% dipotassium hydrogen phosphate, 15-35% polyethylene, 15-25% methyl methacrylate, and 5-15% trimethylhexanediamine. The CT value of the brain tissue equivalent material of this invention is highly consistent with that of real brain tissue, successfully covering the typical range of gray and white matter. The brain tissue equivalent material exhibits excellent wide-spectrum attenuation characteristics; within the commonly used energy range of 60-200 keV in clinical CT equipment, the deviation of the X-ray attenuation coefficient from the target brain tissue material is controlled within 5%, demonstrating excellent spectral stability and simulation accuracy.