555 results about "Brain tissue" patented technology

The invention relates to the technical field of medical monitoring and early warning, and discloses a postoperative care risk early warning system for neurosurgical patients. According to the system, real-time monitoring flows of electroencephalogram, intracranial pressure and body surface myoelectricity of a patient are continuously received, and a dynamic interaction network of neuroelectrophysiology and intracranial mechanical states is constructed so as to represent the coupling relation among electroencephalogram rhythm, pressure conduction and postoperative skull windowing area tissue compliance. The system analyzes three types of core parameters of cerebral cortex excitability, cerebrospinal fluid circulation load and cranial cavity compensation space from the network, further calculates a brain tissue perfusion risk and a neural structure compression risk, and generates a corresponding nursing early warning signal and a physiological regulation path. According to the scheme, deep coupling and mechanism risk early warning of multiple physiological signals are achieved, and the postoperative complication risk can be recognized earlier and more accurately.

The invention relates to a transcranial magnetic stimulation high-precision positioning method, device and equipment based on optical navigation. Comprising the steps of selecting non-coplanar reference points based on a three-dimensional brain model of a patient, obtaining image coordinates and physical coordinates of all the reference points, carrying out corresponding point matching through the image coordinates and the physical coordinates, calculating and generating an optimal rigid transformation matrix, carrying out target registration error calculation, and realizing registration of an image coordinate system and a physical coordinate system. And according to the registered brain tissue conductivity parameters, calculating electric field space distribution induced by the transcranial magnetic stimulation coil in a target brain area, dynamically correcting stimulation target point coordinates of the virtual coil, and according to a completed coordinate system registration result, dynamically displaying the position and direction of the virtual coil corresponding to the transcranial magnetic stimulation coil on the three-dimensional brain model. And synchronously updating the brain slice view based on the corrected target point coordinates, and highlighting the actually stimulated brain region boundary. According to the method, adaptive neural navigation is driven through electric field remapping, and compensation target point correction is achieved.

The invention relates to the field of biomedicine, and particularly discloses an epileptic focus artificial intelligence positioning system and method based on magnetic resonance and electroencephalography, and the system comprises the following contents: a data collection module is used for synchronously collecting T1 weighted magnetic resonance images and electroencephalogram signals of scalp; the data preprocessing module is used for performing brain tissue segmentation on the magnetic resonance image, obtaining structural features of each brain region, constructing vectors including whole brain structural features, and obtaining magnetic resonance structural feature vectors; artifacts of the electroencephalogram signals are removed, electroencephalogram features of all brain areas are extracted through time-frequency analysis, a matrix containing whole electroencephalogram physiological features is constructed, and the electrophysiological features are obtained; the cross-modal confidence coefficient dynamic evaluation module is used for establishing a bidirectional constraint rule to perform confidence coefficient calibration on the magnetic resonance structure feature vector and the electrophysiological feature; a positioning model construction and training module; a positioning result output module; according to the technical scheme, noise can be reduced during magnetic resonance and electroencephalogram fusion, and the epileptic focus positioning precision is high.

The invention discloses a tumor space-occupying brain network neural image alignment method based on multi-modal fusion, and belongs to the technical field of medical image processing and artificial intelligence crossing. The method comprises the following core steps of multi-modal image heterogeneous feature decoupling, tumor occupation deformation field modeling, functional network topological structure maintenance, cross-modal feature adversarial alignment, dynamic deformation constraint optimization and clinical interpretability verification, and construction of a three-dimensional non-rigid registration network based on a double attention mechanism. And differential homeomorphic mapping of a tumor focus area and normal brain tissue is realized through the cascaded spatial transformation module. Aiming at the problems of insufficient multi-modal feature alignment and brain network topology distortion in the prior art, the invention provides a function connection constrained cross-modal fusion strategy, a graph convolution network is adopted to encode resting state function connection features, and network node displacement caused by tumor occupation is dynamically corrected in combination with deformable convolution and a bidirectional feature competition mechanism; a space consistency loss function based on white matter fiber bundle tracing is designed, and through diffusion tensor imaging feature guide structure-function bimodal joint optimization, the problems of insufficient registration precision in a focus area and whole brain network connection distortion of a traditional method are solved. Experiments show that the registration precision of the method in glioma cases reaches 0.82 mm and is improved by 37% compared with that of a traditional method, and dissection-function consistency of functional network reconstruction around tumors is remarkably improved.

A neurosurgery system for probing brain tissue of a patient for tumorous tissue. The system including a suction tool, an excitation source, an optical instrument, and a controller. The suction tool including a suction cannula defining a lumen, an optical fiber configured to transmit fluorescence emitted by the brain tissue; and an indicator configured to selectively emit visible light. An excitation source is configured to emit an excitation light having a wavelength to induce the fluorescence in the tumorous tissue. The optical instrument is coupled to the optical fiber. The optical instrument configured to convert the fluorescence emitted by the brain tissue and transmitted by the optical and configured to determine that the brain tissue is tumorous based on the electrical signal and activate the indicator based on the determination.

A computer system that performs quality control (QC) on images associated with diffusion and structural magnetic resonance imaging (MRI) is described. This computer may include: a computation device that executes program instructions; and memory that stores the program instructions. During operation, the computer system may automatically perform a set of validation operations, where, when one or more of the validation operations fails, the images are rejected. Moreover, the set of validation operations may include: performing QC on brain-tissue segmentation; performing QC on diffusion MRI processing; and performing QC on bundles determined from the images using a tractometry technique.

An ultrasound transducer assembly is connectable to an ultrasound system and comprises one or more ultrasound transducer elements supported by a cap. The ultrasound transducer elements are operable to direct ultrasound energy toward brain tissue of a subject and / or to receive echo ultrasound energy when the ultrasound transducer assembly is mounted on the head of the subject. Some embodiments include a fillable jacket coupled to the inner surface of the cap and in acoustic contact with the one or more transducer elements.

The invention belongs to the technical field of nerve regulation and control engineering, and provides a cerebrospinal fluid rhythm-based Alzheimer's disease electrical stimulation system, which is characterized in that first frequency band range data and second frequency band range data in brain wave signals are coupled to obtain cerebrospinal fluid rhythm data; then, calculating the phase difference between the first frequency band range data and the cerebrospinal fluid rhythm data; finally, the stimulation frequency is dynamically controlled according to the phase difference, and the stimulation current is dynamically controlled according to the brain tissue water volume fraction. The problem that specific metabolism requirements of non-fast eye movement sleep and fast eye movement sleep cycles cannot be matched by adopting single-frequency-band stimulation is solved, dynamic changes of post-traumatic encephaledema and requirements and influences of cerebrospinal fluid rhythm on current control are considered, the real-time adaptive capacity to the dynamic changes of the post-traumatic encephaledema is improved, and the application prospect is wide. And the treatment effect of the Alzheimer's disease is ensured.

The invention provides an implantable nerve probe integrated with a biological protection layer, a preparation method and a system. The nerve probe sequentially comprises a bottom biological protection layer, a bottom flexible substrate layer, a conductive layer, a top flexible substrate layer and a top biological protection layer from bottom to top, the bottom biological protection layer and the top biological protection layer form a biological protection layer located on the outermost periphery of the nerve probe and are used for avoiding erosion of a damp and hot cerebrospinal fluid environment in brain tissue. The integrated biological protection layer located on the outermost periphery of the flexible nerve probe is adopted, corrosion of cerebrospinal fluid to the nerve probe can be inhibited in in-vivo application, the long-term biocompatibility of the flexible nerve probe is effectively improved, the in-vivo long-term service life of the flexible nerve probe is effectively prolonged, and the nerve probe has the advantages of being high in integration level, high in stability and the like; and the requirement of in-vivo long-term effective service of the device can be met.

The invention relates to the technical field of stereotactic surgery, and discloses a neurosurgery stereotactic surgery positioning system based on multi-modal image fusion, which comprises a multi-modal image acquisition module, an intelligent registration fusion module, a three-dimensional modeling module, a surgery navigation engine, an augmented reality interface and a dynamic calibration module, a cross-modal elastic registration module is arranged, when multi-modal image fusion is carried out, the spatial matching degree of a functional image and a structural image is detected in real time through a nonlinear deformation compensation algorithm, and when registration deviation exists between white matter fiber bundles and tumor boundaries, an elastic deformation compensation field is dynamically generated by a system, so that the positioning accuracy of a neural functional area is improved; and by arranging the dynamic drift correction module, the brain tissue displacement change is perceived in real time based on laser surface scanning during deep target navigation, precise correction of the pose of the surgical instrument is realized, and the positioning reliability of the deep target is ensured.

The invention provides a novel geometric shape quantitative analysis method for brain subregion tissues, which is characterized in that depth feature extraction of a CNN-Transform mixed architecture and quantitative characterization of multi-scale differential geometric features are fused, and comprises the following steps: firstly, constructing an SFUNet dual-path encoder, accurately capturing local details of a brain subregion through depth separable convolution, and extracting the local details of the brain subregion; modeling global semantic association of a cross-brain subregion in combination with a Transform branch, dynamically fusing dual-path features, and accurately segmenting an effective brain subregion tissue range; secondly, designing a quantization method from segmentation to spherical harmonic coefficient (SPHARM) mapping according to the geometric morphology of the curved surface of the brain subregion, namely, extracting Gaussian curvature and average curvature point by point after point-to-point registration through standard spherical parameterization and group average curved surface registration, and respectively representing local convex-concave characteristics and bending strength of a specific brain tissue region; and finally, constructing a multi-scale differential geometric feature vector in combination with an SPHARM low-frequency coefficient, and inputting the multi-scale differential geometric feature vector into an AI algorithm to realize brain tissue collaborative analysis of an anatomical structure and geometric deformation.

The invention discloses a preparation method and application of yak blood peptide with anti-hypoxia and anti-fatigue functions. The method comprises the steps of raw material pretreatment, composite enzymolysis (adopting a mixture of enzyme digestion modified lumbrukinase and nattokinase), enzyme deactivation, separation and purification, ferrous chelation, Maillard reaction, concentration and drying and the like. The enzymolysis efficiency and the active peptide yield are remarkably improved through ultrasonic treatment and a composite enzymolysis technology, the stability and the anti-hypoxia capacity of peptide fragments are enhanced through ferrous chelation, and the antioxidant activity and the anti-fatigue activity are further improved through the Maillard reaction. Experiments show that the yak blood peptide prepared by the method can significantly improve the antioxidant enzyme activity, prolong the normal-pressure hypoxia survival time, prolong the swimming exhaustion time and significantly reduce the MDA content of brain tissue and myocardial tissue. The obtained product can be applied to anti-hypoxia and anti-fatigue medicines or health-care foods, and has the advantages of high process efficiency, remarkable activity, high safety and the like.

The invention is applicable to the technical field of medical instruments, and provides a subskull epidural micro-invasive flexible brain-computer interface electrode, which comprises a plurality of electrode branches, each electrode branch comprises a linear flexible main body, and the flexible main body comprises a micro power supply circuit and a signal circuit which are solidified. A plurality of electrode units are arranged on the micro power supply circuit and the signal circuit at intervals, and the electrode units are electrically connected with the micro power supply circuit and the signal circuit. The brain-computer interface electrode is in a flexible line type, can be implanted into the middle artery of the meninx, does not need craniotomy, is a micro-invasive brain-computer interface, has data monitoring accuracy close to that of an invasive brain-computer interface, does not need to worry about inflammatory response, immunostimulation, biocompatibility, brain tissue damage and other adverse factors after long-term implantation, and is suitable for popularization and application. And the thrombogenic risk of a vein stent brain-computer interface does not exist.

The invention discloses a brain-computer interface signal enhancement and evaluation method fusing physical information. The method comprises the following steps: firstly, based on an individual structure magnetic resonance image, constructing a personalized six-layer brain tissue anatomical model comprising a cortex, a white matter, cerebrospinal fluid, a dura mater, a skull and a scalp, and endowing differentiated conductivity parameters; secondly, neuroelectrophysiology priori knowledge such as neurodynamics and white matter anisotropic conduction is converted into a representation rule which can be learned by a neural network; then, the rules are systematically embedded into a physical information neural network in a differentiable physical constraint form, including a cortical neurodynamic equation residual error, a volume conduction equation residual error of each layer and an interlayer interface continuity constraint; and finally, training a network by using the scalp electroencephalogram signals, and jointly outputting high-fidelity intracranial electroencephalogram signals and multi-modal neurophysiological information by minimizing a loss function containing reconstruction and physical constraints. According to the method, the fidelity, the physical rationality and the clinical interpretability of signal enhancement are effectively improved.

A combined neuromodulation and / or neurostimulation system for mitigating locomotor deficits of / or neuronal disorders, especially Parkinson's disease, said system comprises: at least one Deep Brain Stimulation System for providing Deep Brain Stimulation to brain tissue of a subject, at least one control unit, configured and adapted to provide stimulation data, at least one stimulation unit, operatively connected to the at least one control unit, the at least one stimulation unit being configured and adapted to deliver epidural electrical stimulation to the dorsal side of the spinal cord of said subject, and at least one implantable pulse generator, wherein the at least one stimulation unit includes one or more electrodes configured to be implanted epidurally, the one or more electrodes being operatively connected to the at least one IPG.

The utility model provides an integrated stent-type artificial blood vessel which comprises an artificial blood vessel part comprising an artificial blood vessel main branch used for being arranged corresponding to an ascending aorta of a human body; the covered stent comprises a covered stent trunk and a left subclavian artery branch arranged beside the covered stent trunk and communicated with the covered stent trunk; the bendable connecting tube section is arranged between the artificial blood vessel part and the covered stent, the bendable connecting tube section comprises a main tube section and a side short tubular joint which is arranged on the side of the main tube section and communicated with the main tube section, and in the main blood flow direction of the artificial blood vessel, the near end of the main tube section is connected with the main branch of the artificial blood vessel; the far end of the main pipe section is connected with the near end of the artificial blood vessel main branch, and the axial height of the side short pipe-shaped connector is smaller than that of the left subclavian artery branch. The number of branch arteries needing to be dissociated in an operation is reduced, then dissociation anastomosis time is saved, circulation stopping time is shortened, protection on brain tissue is enhanced, and postoperative rehabilitation of a patient is facilitated.

This disclosure describes examples of dual-modality imaging implementations involving both photoacoustic and fast super-resolution ultrasound localization imaging for non-invasive and non-superficial monitoring of both structural information and physiological activities / parameters in tissues. As an example, such dual-modality imaging may be particularly applied to the monitoring of structural information and physiological activities / parameters associated with the blood-brain barrier (BBB) in brain vascular structures that are subject to intervention / modulation (by, e.g., Focused Ultrasound, or FUS) for purposes of drug delivery from a blood flow to brain tissues.

The invention discloses a blood brain barrier water extraction rate imaging method and system based on artery marking and speed selection. By marking spinning of water molecules in artery blood and selectively detecting signals of residual marked blood which does not enter brain tissues in vein blood vessels, quantitative evaluation of blood-brain barrier water permeability is realized. According to the method, the neck artery blood flow is magnetized and overturned by adopting pseudo-continuous artery spin labeling, a speed selection module based on Fourier transform is applied in an acquisition stage to eliminate interference of brain tissue signals, pure vein labeling signals are obtained, and rapid and accurate measurement of water extraction fraction and permeability-surface area volume is realized. In addition, the signal-to-noise ratio and robustness are effectively improved by adopting dual suppression pulses of background tissues and blood. The method does not need an exogenous contrast agent, is non-invasive, short in scanning time and accurate and stable in measurement result, and has important clinical application value for early diagnosis of brain diseases and assessment of pathological changes of the blood brain barrier.

The invention discloses application of sodium butyrate in preparation of a medicine for relieving brain injury caused by gas explosion, the sodium butyrate regulates nerve cell ferroptosis through a JNK / P38 MAPK pathway to relieve the brain injury caused by gas explosion, firstly, an animal model of rat brain injury caused by gas explosion is established, and the relation between NaB and brain tissue neuron injury is intervened and observed by applying NaB; secondly, a shock wave physiotherapy instrument is used for impacting a co-culture system of three cells of CTX, H19-7 and GMI-R to simulate explosion to construct an in-vitro experimental model, P38, ERK and Fer-1 inhibitors are adopted for intervention, iron metabolism, ferroptosis and MAPK signal channel factor changes are observed from the cell and molecular level, a mechanism for inhibiting ferroptosis through a related cascade signal channel mediated by NaB-mediated intestinal-brain axis regulation and control is clarified, and the effect of inhibiting ferroptosis is achieved. And a theoretical basis is provided for further explaining the action mechanism of the gas explosion brain injury.

The invention provides a multi-modal image fusion system and method for neurosurgery, and the method comprises the steps: carrying out the rigid transformation of a multi-modal magnetic resonance image and an ultrasonic image, and obtaining a preoperative magnetic resonance image and an intraoperative ultrasonic image after preliminary alignment; inputting the preoperative magnetic resonance image and the intraoperative ultrasonic image into a pre-trained lightweight deformation registration network for deformation modeling to obtain a voxel-level dense deformation field, and determining a confidence map of deformation field region registration based on the dense deformation field; according to the confidence map, multi-scale feature fusion based on confidence weighting is carried out on the deformed preoperative multi-modal labeling information and the corresponding features of the intra-operative ultrasonic image, and a three-dimensional anatomical structure chart for real-time navigation in the neurosurgery operation is obtained. Based on the scheme, brain tissue drift can be dynamically compensated in real time in a neurosurgery operation, and multi-modal image fusion is guided based on a compensation result.

The present disclosure proposes a method for monitoring simultaneously vascular activity in at least one region of a brain, of a human or animal, and the temporal evolution of physiological parameters, the method including generating a sequence of Doppler or Ultrasound Localization Microscopy "ULM" images of said brain with an ultrasound probe and simultaneously computing physiological information based on a temporal series of brain tissue motion data in a selected region of interest of the brain.

The drainage catheter device is composed of a soft drainage tube, a homogeneous transparent body and a visual module based on integration of a light source and a camera, the head end of the homogeneous transparent body is arc-shaped, the tail end of the homogeneous transparent body is flat and is matched with and connected with the diameter of the drainage tube, and the length of the transparent body is larger than or equal to the object distance of the visual module. One or more side holes are formed in the side face, close to the tail end of the transparent body, of the drainage tube, and the side holes are drainage holes of the drainage tube. According to the drainage catheter device, a one-cavity dual-purpose using method is adopted, the drainage catheter device can be used as a visual cavity and can also be used as a drainage cavity, it can be guaranteed that the diameter of the soft drainage catheter body is small, and trauma to brain tissue is smaller.

The invention belongs to the technical field of microorganisms, and particularly discloses lactobacillus plantarum CX1-3-2 capable of producing gamma-aminobutyric acid and improving sleep and application of the lactobacillus plantarum CX1-3-2. The preservation number of the lactobacillus plantarum CX1-3-2 strain is CGMCC (China General Microbiological Culture Collection Center) No. 34340. The lactobacillus plantarum CX1-3-2 can achieve the effect of improving sleep by improving the levels of GABA and 5-HT in brain tissues and reducing the levels of glutamic acid Glu, dopamine DA and noradrenaline NE; the scavenging rate of DPPH free radicals of the strain reaches 96.4%, the scavenging rate of ABTS free radicals of the strain reaches 78.3%, and the strain has an excellent anti-oxidation effect; the diameters of inhibition zones of the strain on staphylococcus aureus, bacillus cereus, escherichia coli and pseudomonas fluorescens are all larger than 17 mm, and the strain has an excellent antibacterial effect.

The invention relates to the technical field of brain science image processing, and discloses a brain tissue neuronal morphology three-dimensional reconstruction and connection group analysis method and system, and the method comprises the steps: carrying out the feature point extraction and matching and optical flow registration of continuous ultrathin section electron microscope images, and obtaining three-dimensional image volume data; carrying out semantic segmentation on cell bodies, dendrites, axons and dendritic spines through a three-dimensional deep convolutional neural network, and driving secondary registration through confidence feedback; detecting synapses and classifying the synapses as excitatory or inhibitory types; executing topology perception skeletonized reconstruction and performing segmentation correction through topology anomaly feedback constraint; and constructing a synaptic connection matrix and executing graph theory analysis.

The invention relates to the technical field of neurotrauma prognosis image analysis, and discloses a craniocerebral trauma prognosis prediction analysis system based on a three-dimensional model. According to the system, multi-scale segmentation and topology construction are carried out on a craniocerebral three-dimensional image of a patient, the morphological evolution rate of a trauma area is tracked, and key signal events in the trauma evolution process are accurately recognized in combination with an edema signal change curve. The system further quantitatively analyzes dynamic deviations associated with the integrity of normal brain tissue fiber bundles when a signal event occurs, thereby generating a lesion propagation path and mapping it to functional network nodes of a standard brain map, ultimately identifying a prognostic key brain network. According to the technical scheme, key event capture and path foresight prediction in the dynamic propagation process of the secondary injury after the craniocerebral trauma are realized, and the accuracy of prognosis evaluation is improved.

An aspect of the disclosure provides a non-invasive intracranial pressure sensing apparatus comprising an interferometric near infrared spectroscopy, iNIRS system, the iNIRS system comprising: a light emitting arrangement comprising: a light source configured to emit light; a sample delivery channel coupled to the light source and arranged to be coupled to the subject's scalp to direct light from the light source towards the subject's brain tissue; and a reference channel coupled to the light source for receiving light therefrom; a light detecting arrangement configured to be coupled to the subject's scalp and the light emitting arrangement, the light detecting arrangement comprising an interferometric optical detector configured to receive: (i) reference light from the reference channel, and (ii) sample light from the subject's brain, the sample light comprising light emitted from the light source; wherein the optical detector is arranged to combine the sample light with the reference light to provide combined light signals comprising one or more components at a beat frequency between sample light and reference light; and wherein the sensing apparatus comprises a controller configured to process data indicative of the combined light signals to determine an indication of intracranial blood pressure for the subject based on at least one property of a pulsatile waveform of one or more identified pulses of blood flow through the subject's brain.

The invention discloses an application of rhamnolactobacilli SSN-13 in preparation of anti-glycosylation and anti-aging drugs, and is characterized in that the preservation number of the rhamnolactobacilli SSN-13 is CGMCC No: 27227, and the application of the rhamnolactobacilli SSN-13 in preparation of preparations for improving degenerative changes of skin, intestinal tracts, liver and brain tissues and cognitive function decline caused by individual aging is provided, and the application of the rhamnolactobacilli SSN-13 in preparation of anti-glycosylation and anti-aging drugs in preparation of anti-glycosylation and anti-aging drugs in preparation of anti-glycosylation and anti-aging drugs in preparation of anti-glycosylation and anti-aging drugs. According to the present invention, the application in the preparation of the preparation for improving the composition and the structure of the aging individual intestinal flora has the advantages of significantly improving the inhibition ability of glycosylation reaction products AGEs, pentosan, fructosamine and dityrosine, reducing the levels of IL-1beta, IL-6, TNF-alpha, 8-OHdG and AGEs in serum, improving the enzymatic activity of SOD and GSH-Px, improving the HA content and the moisture content in skin, reducing the MDA content, and improving the cognitive ability.

The invention provides a pharmaceutical composition containing polypeptide and application of the pharmaceutical composition to preparation of a medicine for preventing and treating Parkinson's disease, and belongs to the technical field of polypeptide and biology. The amino acid sequence of the polypeptide is PCVLYDLREKM, the damage of 6-OHDA induced BZ555 nematode dopaminergic neurons can be obviously relieved, mouse dyskinesia caused by a Parkinson's disease model can be obviously improved, the spontaneous standing frequency can be improved, the movement speed in an open field can be increased, and meanwhile the IL-1beta and IL-18 levels caused by the mouse Parkinson's disease model can be reduced; the polypeptide provided by the invention can significantly reduce MAO-B level while significantly increasing DA level in nigra of brain tissues of rats with Parkinson's disease, which prompts that the polypeptide provided by the invention has a significant therapeutic effect on Parkinson's disease, and has a wide market prospect in many fields such as health food and medicine.

The disclosure relates to compositions, methods, and processes for the preparation, use, and / or formulation of adeno-associated virus capsid proteins, wherein the capsid proteins comprise targeting peptide inserts for enhanced tropism to a target tissue.

The invention discloses a human brain specific fluid flow direction identification method comprising the following steps: S1, multi-input network model construction: using a decoder to segment a task, and introducing a boundary detection task; high-density lesions and surrounding edema in the medical image are accurately segmented according to the Vi < T > and an attention mechanism; s2, fluid mechanics model construction and parameter setting, focus classification and risk quantification: optimizing time windows of two times of CT scanning; constructing a three-dimensional geometric model of high-density lesions, peripheral edema and normal brain tissue RO I; constructing initial physical field distribution; setting boundary conditions corresponding to a vascular rupture source and a focus drainage area; and dynamically adjusting the time step length based on the flow velocity and the diffusion coefficient. The invention provides a human brain specific fluid flow direction identification method, which combines image high-dimensional features with a multi-physics field coupling model, and reveals the heterogeneity of human brain specific fluid-blood conversion and contrast agent leakage in absorption and peripheral edema expansion modes.