13 results about "Cerebral tissue" patented technology

This invention discloses a data processing method and system based on the changing trends of image features, relating to the field of cerebral infarction early warning technology. The data processing method includes: feature extraction: processing image data and modal data separately using feature analysis methods to obtain image features, image feature change data, modal data features, modal data feature change data, and the regions where the features are located. In this invention, image data provides intuitive information about brain structure and lesions, while modal data supplements key features such as hemodynamics, brain tissue electrical activity, and electrical impedance from different physiological dimensions. TCD data can monitor blood flow velocity and vascular resistance in real time, BI data is sensitive to changes in pathological states such as cerebral edema, and EEG data reflects subtle changes in neuronal electrical activity. Through feature extraction and analysis, the combination of multi-source heterogeneous data achieves the correction of image feature changing trends, thereby ensuring the accuracy of data processing.

The invention discloses a cerebral infarction risk early warning method and system based on an image feature change trend, and relates to the technical field of cerebral infarction early warning. The cerebral infarction risk early warning method comprises the steps of feature extraction, wherein image data and modal data are processed through a feature analysis method, and image features, image feature change data, modal data features, modal data feature change data and regions where the features are located are obtained; the image data provides visual information of a brain structure and a focus, the modal data supplements key features such as hemodynamics, brain tissue electrical activity and electrical impedance from different physiological dimensions, the TCD data can monitor blood flow velocity and vascular resistance in real time, and the BI data is sensitive to change of pathological states such as encephaledema. The EEG data reflects the subtle change of the electrical activity of neurons, and the image feature change trend is corrected through feature extraction and analysis and combination of multi-source heterogeneous data, so that the accuracy of cerebral infarction risk early warning is ensured.

The invention relates to the technical field of cerebrovascular analysis, and discloses a neurosurgery cerebrovascular analysis device, which is characterized in that an automatic tissue transfer mechanism is arranged in a detection table, and a microscopic photographing piece is arranged right above the automatic tissue transfer mechanism; the tissue automatic transferring mechanism comprises a transferring and overturning belt, two transparent glass sheets and an automatic washing assembly, two symmetrical disposal notches are formed in the transferring and overturning belt, the transparent glass sheets are rotationally arranged in the disposal notches, and when one transparent glass sheet moves to the position under the microscopic photographing piece, the automatic washing assembly is arranged in the disposal notches; the other transparent glass sheet synchronously moves to the central area of the lower wall of the transferring and overturning belt; by arranging the automatic tissue transferring mechanism, especially the alternate working mode of the transferring and overturning belt and the two transparent glass sheets, circulating treatment of automatic transferring, photographing and cleaning of brain tissue samples is achieved, the analysis efficiency is greatly improved, and manual intervention is reduced.

Provided is a structure composed of a cell population comprising endothelial cells, astrocytes and pericytes, and a 3D (three dimensional) cell growth material within which the cell population is located. The structure has a TEER value of at least 450 Ω / cm2. The cells of the structure may be derived from the brain. The cells may be human cells, and in particular may be primary derived non-immortalised cells. The structure is particularly suited for use in a model of the blood brain barrier, and the invention also provides such a model. The structure is located in a container, in which it separates a first chamber located on a first side of the structure and a second chamber located on a second side of the structure. The first and second chambers respectively contain first and second liquids in contact with first and second sides of the structure. The liquids mimic the brain extracellular fluid and the blood. The blood brain barrier model provided may be used in models of brain disease, and to investigate uptake of agents into the brain or diseased brain.

Disclosed is a non-invasive system and related methods to deliver electrical current to ischemic brain tissue rapidly with minimal set up, to treat acute ischemic stroke via direct cytoprotection and by collateral blood flow enhancement promoting recanalization of occluded vessel. In one embodiment, the system includes a cap with plurality of electrodes which are operable in combination to deliver an electrical current when in contact onto skin of the head region of the subject. In one embodiment, the electrical current delivery is individualized to target each individual's ischemic tissue only. In one embodiment, the electrode positioning can be selected from pre-determined electrode montages according to the location of the ischemia and vessel occlusion site. In one embodiment, the system can be applied as a standalone treatment or adjunct to reperfusion therapies to salvage the at-risk ischemic tissue (aka penumbra) and improve patient outcomes.

The invention discloses a non-invasive brain oxygen saturation monitoring method and system. The system is characterized in that a light source driving circuit drives a probe module to generate a light signal with a preset time sequence under the control of a main control unit; the probe module comprises a first light source and a second light source, the same sides of the first light source and the second light source are respectively provided with three detectors which are arranged along a radial direction and are arranged at different intervals, and the three detectors corresponding to the first light source and the three detectors corresponding to the second light source are arranged on the left side and the right side in mirror symmetry; the signal conditioning module is used for processing the detected optical signal to obtain a spectral signal; the analog-to-digital conversion circuit is used for converting the spectral signal into a corresponding digital signal, and then the digital signal is transmitted to the signal preprocessing module through the communication interface under the control of the main control unit; the signal preprocessing module is used for filtering and denoising the received signal and then transmitting the signal to the calculation module to quantitatively calculate the brain oxygen saturation. The brain tissue blood oxygen saturation monitoring efficiency, accuracy and convenience are improved.

The application discloses sgRNA for knocking out a TMEM91 gene and application thereof, and relates to the technical field of biological medicines.The sequence of the sgRNA is shown in SEQ ID No.1 or SEQ ID No.2.A gene knockout mouse is constructed according to the TMEM91, and experimental results prove that the sequence can significantly silence the expression of TMEM91.Compared with wild-type mice, the TMEM91 mRNA of the knockout TMEM91 mouse is completely removed, and the TMEM91 gene knockout mouse provides new evidence for the biological function of TMEM91 at the in-vivo level.The application proves for the first time that inhibiting the expression of the TMEM91 gene can enhance kidney injury of the mouse, thereby proving that the TMEM91 is a new target for treating kidney injury, and the application is beneficial to further studying the mechanism of occurrence and development of kidney injury related diseases caused by low expression of the TMEM91.

The present application relates to the technical field of intracranial blood vessel ultrasound training model, specifically to an intracranial blood vessel TCD simulation training model, comprising a peristaltic pump, the input end and the output end of the peristaltic pump are connected with conveying pipelines, the peristaltic pump is provided with a head model on one side, the head model comprises a head model body, the head model body has a simulated cranial cavity, the top of the simulated cranial cavity has a placing opening, the upper part of the placing opening has an openable cover; the outer side of the head model body has a temporal window, an occipital window and an eye window; the inside of the simulated cranial cavity is filled with a plurality of brain tissue simulation gels, the brain tissue simulation gels are embedded with adjustable simulation blood vessel network structures arranged according to the structure of Willis ring, the input end and the output end of the adjustable simulation blood vessel network structures are respectively connected with the output end and the input end of the peristaltic pump. The present application solves the problems that the existing clinical TCD doctor training relies on direct operation on patients, has many defects, lacks special simulation training model, cannot evaluate the accuracy of doctor operation and limits the application of TCD technology.

The application discloses a kind of local brain tissue blood oxygen saturation near-infrared detection method and device, to solve the problem of the difference between the group average head model parameter and patient individual parameter in prior art, especially severe patients;Existing device also has the problems of positioning deviation, poor repeatability, insufficient accuracy and difficult to quantify indicators. Through the accurate and repeatable positioning of skin texture double-mode positioning sticker, the individual head three-dimensional anatomical model and individual multi-layer light transmission simulation model are constructed by querying the patient individual image data, and the light transmission loss is calculated layer by layer, combined with the patient individual skull density, based on the patient individual image head blood flow map analysis of cerebral blood perfusion process and individual neck arteriovenous biochemical blood gas detection, to complete the individualized detection of local brain tissue blood oxygen saturation. The application calls the existing multi-source detection data of the patient to improve the detection accuracy of local brain tissue oxygen saturation by algorithm calculation, without any additional examination and cost.

The application relates to MSBI (Multiple Sclerosis Brain Isolate) nucleotide sequences as well as probes and primers comprising part of said nucleotide sequences and antibodies against polypeptides encoded by said nucleotide sequences. These compounds are useful as early markers for the future development of cancer and diseases of the CNS (Multiple sclerosis MS, Prion-linked diseases, amyotrophic lateral sclerosis, transmissible spongiforme encephalitis, Parkinson's disease, Alzheimer disease) and should represent targets for treatment and prevention.

Disclosed is a flexible hybrid electronic system for intraoperative intracranial monitoring. The system includes a flexible front-end signal collection circuit, a back-end signal processing circuit and a computer system, wherein the front-end signal collection circuit includes a flexible substrate, an electroencephalogram layer, a flexible sensor array, a temperature-controlled hydrogel interface layer, and an electrothermal film. The flexible sensor array is used for collecting pressure, temperature, electroencephalographic and cerebral tissue oxygen saturation signals, and the electrothermal film regulating the adhesion and peeling of the temperature-controlled hydrogel interface layer and cerebral tissue. The signal processing circuit is electrically connected to the signal collection circuit, so as to receive signals collected by the flexible sensor array and the electroencephalographic layer, analyze then transmit to the computer system. When the pressure data exceed a preset normal threshold, the alarm module is triggered to alert the surgeon to the cranial status.

The invention belongs to the field of medical image data processing, and discloses a medical image data processing method and system for an interventional operation. Comprising the following steps: collecting brain magnetic resonance image data of a patient before an operation, and extracting brain structure information including ventricle, blood vessel trend and brain sulcus and brain return; local intracranial pressure data are monitored in real time in an operation, and an operation field area video stream collected by a binocular camera device is analyzed to obtain an invasion path of a surgical instrument and deformation information of brain tissue resection in real time; constructing a brain deformation prediction model based on the topological association graph, taking local intracranial pressure data, a surgical instrument invasion path and deformation information of brain tissue excision as input, and outputting deformation field distribution data; the method is applied to a preoperative brain three-dimensional model, a dynamic brain model is generated through geometric coherence constraint processing, the dynamic brain model is used for a surgical navigation system, and real-time accurate prediction of intra-operative brain tissue deformation is achieved.

Astrocytes are known to regulate the body responses to diseases and injuries in central nervous system (CNS). Embodiments of the instant disclosure relate to biomaterial for delivering extracellular vesicles derived from reactive cell populations for improving brain healing after injury. Also provided are methods of improving angiogenesis, axonogenesis, or inducing tissue repair using the disclosed biomaterials. Also provided are methods of making the biomaterials.