298 results about "Cerebral part" patented technology

Disclosed is an apparatus and method for uniform selective cerebral hypothermia. The apparatus includes a brain-cooling probe, a head-cooling cap, a body-heating device and a control console. The brain-cooling probe cools the cerebrospinal fluid within one or more brain ventricles. The brain-cooling probe withdraws a small amount of cerebrospinal fluid from a ventricle into a cooling chamber located ex-vivo in close proximity to the head. After the cerebrospinal fluid is cooled it is then reintroduced back into the ventricle. This process is repeated in a cyclical or continuous manner. The head-cooling cap cools the cranium and therefore cools surface of the brain. The combination of ventricle cooling and cranium cooling provides for whole brain cooling while minimizing temperature gradients within the brain. The body-heating device replaces heat removed from the body by the brain-cooling probe and the head-cooling cap and provides for a temperature difference between the brain and the body where the brain is maintained a temperature lower than the temperature of the body.

The present invention relates to an apparatus for the treatment of a brain affection, which comprises at least one implantable generator (4) made of non-ferromagnetic material comprising a casing (7), an ultrasound generating treating device (11) positioned into said casing to induce brain affection treatment by emission of ultrasound waves, and means for fastening the implantable casing into the skull. The apparatus further comprises a power controller (PwC) to supply electricity to the treating device of the implantable generator and to set and control its working parameters, and connecting means (6) to connect the power controller and the treating device of the implantable generator. A method for treating a brain affection with such an apparatus is also disclosed.

The invention provides an implanted multifunctional double-side micro brain electrode array chip. Three electric pulse stimulation electrodes, four electrochemical detection electrodes and seven brain electric detection electrodes are distributed on each surface of an electrode pole; the electric pulse stimulation electrodes, the brain electric detection electrodes and the electrochemical detection electrodes are symmetrically distributed on the central axis of the two surfaces of the electrode pole; the electrochemical detection electrodes and the brain electric detection electrodes are connected to electrode lead interface welding discs via detection electrode leads; the electric pulse stimulation electrodes are connected to the electrode lead interface welding discs via stimulation electrode leads; and the electrode lead interface welding discs are symmetrically distributed at the two sides of the central axis of the two surfaces of an electrode handle. The electrodes of different functions are integrated on one chip so that electric pulse stimulation of deep brain tissues can be realized and the brain electric signals and electrochemical signals of the specific areas of the brain can be detected, the chip is suitable for being implanted in the brain for a long time and thus treatment and research of neurological diseases can be assisted.

The invention provides a brain disease detection system based on brain pathological age estimation. The brain disease detection system comprises image acquisition equipment, actual age input equipment, a storer, a preprocessing module, a feature extraction module, a feature selection module, a brain pathological age estimation module, a parameter optimization module, a classified recognition module and a result output module; the storer is provided with a VCI sample database, a CTL sample database and a database to be measured. The brain disease detection system has the advantages that the system fully utilizes brain magnetic resonance image characteristics, in combination with the actual age information of samples, simulation training is conducted through a great number of samples, and the obtained brain pathological age estimation module can effectively estimate the brain pathological age of a measured object; meanwhile, deviation between the brain pathological age estimation value and the actual age serves as supplementary information, whether a patient suffers from brain disease or not is effectively diagnosed through infusion with brain image information, the whole system is definite in principle, convenient to implement, more scientific basis is achieved for brain disease detection, reliability is high, and feasibility is high.

The method is applied to the technical field of artificial intelligence, relates to the technical field of blockchain, and discloses a brain tumor image segmentation method, device and equipment basedon deep learning, and a medium. The method includes, in part, the following steps: obtaining a multi-mode brain nuclear magnetic resonance image; preprocessing the brain nuclear magnetic resonance image, so as to obtain a target image with the skull part being removed; and finally, inputting the target image into a preset brain tumor segmentation model, so as to obtain a brain tumor image segmentation result, wherein the preset brain glioma segmentation model is a deep learning model obtained by performing cross validation training according to an adaptive segmentation framework and a brain nuclear magnetic resonance image without a skull part, and the adaptive segmentation framework comprises a plurality of different types of U-Net models and U-Net integrated models. According to the invention, the optimal network structure for prediction in the plurality of models can be automatically selected according to the result of cross validation, and the segmentation performance of the preset brain tumor segmentation model is improved, so the accuracy of brain tumor image segmentation is improved.

The invention provides a brain focus target puncture positioning method and a puncture positioning device. The puncture positioning device comprises a vertical positioning ruler, a first sliding baseand a horizontal positioning ruler, wherein the vertical positioning ruler is provided with first scales in the vertical direction; the first sliding base is vertically and slidably arranged on the vertical positioning ruler; the horizontal positioning ruler is arranged on the first sliding base. The puncture positioning method comprises the steps that a middle-line sagittal view surface of the brain of a patient is determined; brain CT scanning is carried out; CT scanning data is analyzed, and a target transverse-cutting layer image of a brain focus of the patient is determined; a middle-linesagittal image and the target transverse-cutting layer image are modeled in proportion, and simulated puncture is carried out; then solid puncture is carried out on the brain of the patient. The focus target puncture positioning method and the puncture positioning device thereof are used so that multi-point puncture positioning can be realized, the influence of human factors is eliminated, the puncture accuracy of a focus target and the success rate of an operation are improved, the operation difficulty is reduced, the operation time and the pain of the patient are reduced, and the method andthe device have high application and popularization significance.

The invention discloses a deep brain stimulation electrode. The deep brain stimulation electrode comprises at least two groups of output electrode contacts; one or more output electrode contacts are arranged in each group of the output electrode contacts; one or more output electrode contacts of the first group of the output electrode contacts are arranged at the brain nucleus accumbens septi part after the output electrode contacts are mounted; one or more output electrode contacts of the second group of output electrode contacts are arranged at the brain internal capsule anterior limb part after the output electrode contacts are mounted. The invention further discloses a deep brain stimulation device provided with the electrode, and a deep brain stimulation method used for drug rehabilitation. According to the invention, simultaneous combined stimulation to the nucleus accumbens septi and the internal capsule anterior limb difunctional areas is realized by one electrode; specific stimulation can be conducted on different brain functional areas; the availability and safety of the deep brain electric stimulation on abstinence of drugs, and treatment of psychogenic illnesses of obsessive-compulsive disorder, depressive disorder, and the like are improved.

The invention relates to a cardio-cerebral coupling oriented pneumatic cycle training system and method. The system comprises: pneumatic cycle equipment for forming a cycle pressure for limbs and tissues; an information acquisition module for synchronously acquiring a cerebral blood oxygen signal and a blood pressure signal and transmitting the acquired signals to an analysis module; the analysismodule for processing and analyzing the cerebral blood oxygen signal and the blood pressure signal synchronously acquired from the information acquisition module and transmitting the processed signaldata to display equipment; the display equipment for presenting the analysis data transmitted from the analysis module and a feedback process of a feedback module in real time; and the feedback modulefor judging activation of a specific area of the cerebral cortex in the pneumatic cycle training process and reflecting whether cerebral and cardio-cerebral coupling index parameters are effective orabnormal, and carrying out real-time self-adaptive adjustment on pneumatic cycle parameters until one time of complete pneumatic circulation training is completed. According to the invention, on thebasis of arterial pressure and near-infrared optical signal parameter monitoring and feedback, the influence of pneumatic cycle stimulation on different regions of the brain is measured.

The invention discloses an in-vitro construction method for simulating a blood brain barrier through human brain microangiogenesis. The method comprises the following steps: preparing human brain microvascular endothelial cell suspension and human astrocyte suspension, and preparing fibrinogen mother liquor and thrombin mother liquor; mixing the endothelial cell suspension, the astrocyte suspension, a DMEM (Dulbecco's Modified Eagle Medium) medium, the fibrinogen mother liquor and the thrombin mother liquor, and preparing a mixed cell gel solution; injecting the mixed cell gel solution into amicro-fluidic chip, performing thermostatic incubation to gelation, adding an endothelial growth medium into the micro-fluidic chip, and constructing a 3D cell culture chip; performing continuous culture on the 3D cell culture chip, and enabling the endothelial cells and astrocyte to grow into a brain microvascular network structure, namely correspondingly producing the simulated blood brain barrier. According to the technical scheme provided by the invention, the in-vitro model of the blood brain barrier is successfully constructed, and the characteristics of the blood brain barrier are clearly and accurately reflected.

The invention discloses a non-invasive monitoring method and a monitoring device for cerebral blood oxygen, and develops a non-invasive monitoring method for blood oxygen saturation of local tissues of a human brain by utilizing different absorbances of oxyhemoglobin and deoxidized hemoglobin to near-infrared light, so that the method does not cause harm to a human body; continuous real-time monitoring of the cerebral blood oxygen value can be achieved through a continuous cerebral blood oxygen value prediction model, the influence of melanin is considered, correction factors are added, surface interference signals and deep useful signals are detected respectively, the content of the collected signals is richer, and the cerebral blood oxygen signals with the high signal-to-noise ratio canbe obtained through processing conveniently; further, the cerebral forehead lobe area local oxyhemoglobin saturation monitoring value without the human head tissue interference signal is solved, so that the cerebral oxyhemoglobin continuous monitoring stability is better, and the monitoring precision is higher. A new solution is provided for non-invasive monitoring of cerebral blood oxygen, and clinical application of non-invasive monitoring of cerebral blood oxygen can be better promoted.

The invention belongs to the technical field of traditional Chinese medicines and particularly relates to a traditional Chinese medicine pillow for treating vertigo after a brain surgical operation or an intracranial tumor operation. The traditional Chinese medicine pillow comprises a pillow core and a pillow case, wherein the pillow core is prepared from the following traditional Chinese medicine raw materials in parts by weight: 80-150 g of magnetite, 80-150 g of amber, 80-150 g of semen ziziphi spinosae, 80-150 g of platycladi seeds, 80-150 g of polygala tenuifolia, 80-150 g of vine of multiflower knotweed, 80-150 g of cortex albiziae, 30-60 g of musk, 80-100 g of acorus tatarinowii, 80-100 g of borneol, 80-100 g of storax, 80-100 g of peppermint, 150-200 g of radix glycyrrhizae, 100-120 g of Szechuan lovage rhizome, 100-120 g of corydalis yanhusuo, 100-120 g of turmeric, 100-120 g of olibanum, 100-120g of costus root, 100-120 g of agastache rugosa, 100-120 g of sandalwood, 150-200 g of cape jasmine fruits, 150-200 g of wild chrysanthemum, 150-200 g of lavender, 80-150 g of catechu, 80-150 g of cassia seeds, 80-150 g of inula flower, 80-150 g of pericarpium zanthoxyli and 100-150 g of tourmaline. The traditional Chinese medicine pillow provided by the invention can nourish heart, calm nerves, awaken brain, enlighten mind, promote qi, regulate qi, improve blood circulation of brain, increase activity of brain, effectively treat vertigo after the brain surgical operation or the intracranial tumor operation, avoid side effects and improve the quality of life of a patient.

The invention belongs to the technical field of pillows, and particularly discloses a multifunctional cervical-vertebra curing and restoring pillow suitable for physiological curvature of people of different body types. The multifunctional cervical-vertebra curing and restoring pillow comprises a pillow body, filler is filled in the pillow body, a concave head rest area is installed in the middle of the pillow body, a higher front neck rest area and a lower rear neck rest area are formed in front of the head rest area and behind the head rest area respectively, a left rest area and a right rest area which are identical in height are formed on the left side and the right side of the head rest area respectively, concave ear circulation noise-reduction channels are formed in the left rest area and the right rest area respectively and symmetrically, and height regulating bags are installed in the front neck rest area, the back neck rest area, the left rest area and the right rest area. The multifunctional cervical-vertebra curing and restoring pillow not only can relieve fatigue of the cervical vertebra and cure and restore the cervical vertebra, but also can increase blood supply of the brain and improve sleep quality.

The invention provides a brain midline recognition method and device, equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring a three-dimensional brain image; identifying a contour surface of the brain area from the three-dimensional brain image; performing image segmentation on the three-dimensional brain image to obtain a first half-brain region and a second half-brain region; identifying a first half-brain contour surface of the first half-brain region and a second half-brain contour surface of the second half-brain region from the three-dimensional brain image; and determining a difference set between a union set of the first half-brain contour surface and the second half-brain contour surface and the contour surface of the brain region as a three-dimensional brain midline of the brain region. According to the method, the first half-brain contour surface and the second half-brain contour surface are obtained through the three-dimensional brain image, the difference set between the union set of the first half-brain contour surface and the second half-brain contour surface and the contour surface of the brain area is the three-dimensional brain midline, and the three-dimensional brain midline can provide more information and is more beneficial to determining the brain state of the user.

The invention discloses a cerebral hemorrhage automatic detection method based on a brain auxiliary image and an electronic medium, and is applied to the technical field of image processing, and the method comprises the steps: carrying out the CT scanning of the head of a patient, and obtaining a brain CT image; generating a brain auxiliary image according to the brain CT image; and inputting thebrain CT image and the brain auxiliary image into a pre-trained neural network, automatically detecting a cerebral hemorrhage area in the brain CT image in combination with the brain auxiliary image,and outputting a mask including the cerebral hemorrhage area and type. According to the invention, the brain auxiliary image and the brain CT image scanned by the patient are combined for use, the cerebral hemorrhage area and type identification accuracy of the neural network is improved, the technical requirements of doctors in the diagnosis process are reduced, and the diagnosis efficiency is greatly improved.

The invention relates to a cerebral apoplexy cause classification method and device. The method comprises the steps that lesion segmentation treatment and brain partition treatment are conducted on ato-be-processed image, a lesion segmentation result and a brain partition result of the to-be-processed image are obtained, and the to-be-processed image comprises a brain image of a target object obtained in a diffusion weighted imaging mode; according to the lesion segmentation result and the brain partition result, an image analysis result of the to-be-processed image is determined, and the image analysis result comprises lesion information of each brain subarea; the object clinical information of the target object is analyzed to obtain a clinical analysis result of the target object; and according to the image analysis result and the clinical analysis result, the cause type of the target object is determined. According to the embodiment, the accuracy of cerebral apoplexy cause classification can be improved.

The invention discloses a brain arteriovenous malformation detection method and detection system based on CT images. The method comprises the steps of preprocessing the brain CT images to extract thebrain effective area; scanning the brain effective area on the basis of a three-dimensional convolution neural network algorithm, and automatically positioning all the lesion areas with brain arteriovenous malformation lesions; carrying out image segmentation on the edges of the lesion areas on the basis of the three-dimensional convolution neural network algorithm to automatically obtain lesion outline areas, and accurately distinguishing the lesions from normal brain tissue around; and automatically measuring the average density of the brain arteriovenous malformation lesions on the basis ofthe lesion outline areas. With the brain arteriovenous malformation detection method and detection system based on the CT images, the function of carrying out automatic positioning, edge automatic segmentation, average density automatic measurement and the like on the brain arteriovenous malformation lesion areas can be implemented; and furthermore, various image characteristics output when the detection is in use can be provided for doctors as the basis for determination so as to help the doctors do the clinical classification diagnosis work on the brain arteriovenous malformation lesions better.

The invention provides a brain disease judgment system based on intracranial multi-modal information fusion of machine learning. The judgment system comprises an input layer and an output layer, wherein intracranial information is input into the input layer, multi-level processing of data is carried out, various intracranial injury types are automatically judged and output. An intervention treatment combination is specified according to the type combination of the output layer, wherein the intracranial information comprises intracranial pressure, intracranial oxygen partial pressure, intracranial temperature, intracranial electroneurographic signals, intracranial sodium ion concentration and intracranial potassium ion concentration.

The invention relates to an automatic skull removal method for a brain magnetic resonance image. The method comprises: obtaining an optimal background segmentation threshold of the brain magnetic resonance image through an adaptive iterative threshold method; performing background segmentation on the brain magnetic resonance image according to the optimal background segmentation threshold to obtain a standardized image; obtaining a maximum inter-class variance threshold of the standardized image through an OSTU threshold method, and binarizing the standardized image according to the maximum inter-class variance threshold to obtain a binarized image; in the binarized image, detecting multi-directional abnormal value points, and obtaining a skull main body area; in the standardized image, assigning 0 to the pixels of the skull main body area to obtain a main body segmentation image; and performing morphological opening operation on the main body segmentation image to obtain a target image. According to the invention, the efficiency of a traditional semi-automatic method is effectively improved, and convenience is provided for operations such as automatic identification and image fusion of brain magnetic resonance images.