23 results about "Brain arteries" patented technology

The invention discloses a perfusion imaging method and device for low-rotating-speed imaging equipment, a medium and a product, and relates to the field of medical image processing. The method comprises the following steps: acquiring plain-scan projection data and time sequence projection data of a brain interested body layer; determining a target time decay curve associated with the interested cerebral artery according to the time sequence projection data; determining a difference value between projection data corresponding to each scanning moment in the time sequence projection data and the plain scanning projection data, and taking the difference value as target projection data of the corresponding scanning moment; determining a target independent variable capable of enabling the target projection data and the forward model projection data to meet a difference minimization condition, and determining a perfusion parameter diagram combination based on the target independent variable; the forward model projection data is determined based on a target time decay curve and an independent variable, and the independent variable comprises a cerebral blood flow chart to be optimized and an average passing time chart. According to the invention, the accuracy of the perfusion parameter diagram combination determined based on the projection data acquired by the low-rotating-speed imaging equipment can be improved.

A device (100) for removing emboli from a cerebral artery, comprising (i) a catheter (150), (ii) a funnel (130) biased to assume an expanded state in which a mouth (133) of the funnel is wider than a proximal end (1311) of the funnel, (iii) a stem (132) attached to the proximal end of the funnel and extending proximally through the catheter, and (iv) a handle (120) at a proximal portion of the catheter, the handle comprising: (a) a deployment knob (122) configured to deploy an embolus from the catheter; the device includes (a) a catheter (126) operably coupled to the rod so as to be manually operable to transition the funnel toward a deployed expanded state in which the funnel is in sealing engagement with the catheter such that suction applied by the catheter draws the emboli into the mouth, and (b) a stabilizer (126) configured to stabilize the device in the deployed state by applying tension to the rod.

To provide a suction catheter system with a suction extension part.SOLUTION: A suction extension part is interfaced with a guide catheter to form a continuous suction lumen extending through a portion of the guide catheter and through the suction extension part. The suction extension part can be positioned by tracking the suction nozzle through a vessel while moving a proximal portion of the suction extension part within a lumen of the guide catheter. The suction extension part can include a connecting section 400 with a non-circular cross section for interfacing with the inner lumen of an engagement section of the guide catheter. A tubular body of the guide catheter can have a reduced diameter distal section that can be useful to restrain the movement of the suction extension part. Proximal fittings attached to the guide catheter can facilitate safe removal of the catheter system from the patient by allowing for the removal of some or all of an annular extension part of the suction extension part from the guide catheter behind a hemostatic seal.SELECTED DRAWING: Figure 21

The invention discloses a generative artificial intelligence cerebral artery lesion detection method based on plain-scan brain CT. The method comprises the steps that 1, a plain-scan brain CT image to be processed is acquired; 2, converting the plain scanning brain CT image into a CTA image through an adaptive noise elimination network; and 3, carrying out multi-modal lesion detection on the basis of the CTA image generated in the step 2. According to the method, a CTA image is generated through an adaptive noise elimination network (ANE-NET), and a real-time lesion feature analysis engine (RTAL-FE) is embedded in the generation process, so that real-time classification prediction of lesion types is realized. And furthermore, a detection result is output through a dynamic weight decision model (DWD-M), so that the generation quality and the detection efficiency are remarkably improved. The problems that a traditional method is low in generation quality and lags behind detection are solved, and the method is particularly suitable for low-dose and non-invasive cerebrovascular disease screening scenes and has important clinical application value.

1. The name of the design product: Doppler apparatus. 2. The use of the design product: The design is used for checking the brain artery and other arteries of patients. 3. The design points of the design product: The combination of shape and pattern. 4. The picture or photo that best shows the design points: Fig. 1.

This invention discloses a method and device for cerebral artery segmentation and classification based on MRI images, belonging to the field of medical image processing. The method uses a U-Net network as its basic architecture, introducing a Swing Transformer module in the encoder to achieve hierarchical feature extraction. First, the 3D MRI image is preprocessed; then, multi-scale features are extracted through a multi-level Swing Transformer encoding stage, and a shift-window attention mechanism is combined to enhance global context awareness; next, a graph structure is constructed to fuse and enhance multi-level features to preserve vascular topology; finally, a convolutional decoder upsamples layer by layer and performs skip connections with the graph fused features to achieve accurate reconstruction and classification of vascular structures. This invention effectively integrates the global modeling capabilities of the Transformer with the local detail extraction advantages of convolutional networks, improving the accuracy and structural integrity of vascular segmentation and classification.

An ex-vivo brain perfusion system for perfusion of a brain includes a reservoir configured to receive perfusate, a housing configured to contain the brain, an arterial circuit configured to fluidly couple the reservoir to the brain, a venous circuit fluidly coupling the housing to the reservoir, and a syringe pump fluidly coupled to the reservoir and configured to introduce a therapeutic agent to the perfusate in the reservoir. The ex-vivo brain perfusion system is configured to perfuse the brain with the therapeutic agent to test at least one property of the therapeutic agent.

The invention discloses a cerebral aneurysm recognition and positioning method based on vascular section defect detection, and aims to search for the maximum inscribed circle of a vascular section by segmenting a vascular section sequence. The normal vascular section is closer to the incircle, and the abnormal aneurysm shows local protrusion, so that the abnormal aneurysm is identified and positioned by taking the abnormal aneurysm as a feature. TOF-MRA images are generally adopted for aneurysm recognition, and relatively pure blood vessel parts need to be obtained through segmentation firstly, so that the method sequentially utilizes binarization threshold segmentation, connected domain filtering and retrograde blood vessel segmentation, then blood vessel surface point cloud is extracted, blood vessel slice sequences are obtained based on point cloud traversal segmentation, and finally maximum inscribed circles of all the sequences are searched. When the area of the vascular section and the maximum inscribed circle exceeds a certain threshold value, the aneurysm appears. Based on the original TOF-MRA image of the brain, the brain aneurysm can be quickly and accurately identified and positioned, and the accuracy rate reaches 86%. A scientific and effective means is provided for early screening of cerebral artery risks of the patient, and timely intervention is facilitated to guarantee the health of the patient.

The invention describes catheter systems and methods for accessing the brain during endovascular / neurointervention procedures in the treatment of ischemic stroke. More specifically, catheter systems are described that enable quicker and improved access to cerebral vessels as well as improved processes of accessing and aspirating blood clots from the cerebral vessels of a patient with acute ischemic stroke due to medium or large vessel occlusion.

The utility model discloses a brain circulation function therapeutic instrument convenient to carry, which comprises a box body, one side of the box body is rotatably connected with a box cover, the other side of the box body is provided with an opening and closing buckle, two side walls of an inner cavity of the box body are provided with a limiting plate, a placing box, a fixing assembly and a control instrument, and the top of the box body is provided with a spring groove and a buckle assembly. An electric telescopic rod, a bearing block and a treatment cap are arranged at the bottom of an inner cavity of the box body, a handle is arranged on one side of the box cover, and straps are arranged on the side wall of the box body. According to the brain circulation function therapeutic instrument convenient to carry, the control instrument can be fixed in the inner cavity of the containing box through the fixing assembly, the therapeutic cap is clamped on the bearing block, the therapeutic instrument can be fixed in the inner cavity of the box body, the containing box is fixed through the buckle assembly, the therapeutic instrument is prevented from being damaged when the box body is moved, and the therapeutic instrument is convenient to carry. The box body and the box cover can be fixed conveniently through the opening and closing buckles, the box body can be carried on the back through the straps, and carrying is convenient.

A distal entry point (DEP) to brain aspiration (D2BA) catheter for use in an endovascular procedure for gaining access to cervical and cerebral arteries in a brain of a patient and aspirating one or more intracranial clots from the cerebral arteries, comprising a soft distal tip region having a distal length sufficient to extend from a level 1 or level 2 arterial segment of a cerebral artery or equivalent to an upper neck arterial vessel, a stiffness enabling movement through the level 1 or level 2 arterial segment of the cerebral artery, and an outside diameter (OD) of 6F-10F, a proximal region having a stiffness greater than the stiffness of the soft distal tip region, the proximal region having a length sufficient to extend to outside the patient through the DEP.

This invention discloses an artificial intelligence-based method for measuring aneurysms in cranial arterial angiography images, comprising the following steps: S1, acquiring keyframes of DSA images; S2, segmenting the keyframes using a deep neural network to distinguish between the background and blood vessels; S3, determining the aneurysm location region based on the segmentation results, obtaining the contour of the region, and simultaneously obtaining the length of the connection between the gray aneurysm region and the white blood vessel region, i.e., the aneurysm diameter width w; S4, based on the obtained aneurysm contour shape, calculating the aneurysm centroid O by spatial moments, drawing a perpendicular line through the centroid O and intersecting the contour boundary, traversing all angles, and taking the largest intersection line segment as the maximum diameter l of the aneurysm, drawing a perpendicular line from the aneurysm diameter width w and intersecting the contour boundary, the maximum height of which is the aneurysm height h. This invention achieves fully automated measurement of the diameter of cerebral vascular aneurysms through a deep neural network trained on a large amount of data, solving the problems of slow speed, poor accuracy, and large influence of subjective factors in manual measurement.

The invention discloses a brain artery segmentation classification method and equipment based on an MRI image, and belongs to the field of medical image processing. According to the method, a U-Net network is taken as a basic framework, and a Swin Transform module is introduced into an encoder, so that hierarchical feature extraction is realized. Firstly, a three-dimensional MRI image is preprocessed; then multi-scale features are extracted through a multi-stage Swin Transform encoding stage, and global context perception is enhanced in combination with a shift window attention mechanism; constructing a graph structure to fuse and enhance the multi-level features so as to retain a vascular topological relation; and finally, carrying out layer-by-layer up-sampling through a convolution decoder, and carrying out jump connection with image fusion features to realize accurate reconstruction and classification of a blood vessel structure. According to the method, the global modeling capability of Transform and the local detail extraction advantage of the convolutional network are effectively integrated, and the accuracy and structural integrity of blood vessel segmentation classification are improved.

Methods and devices are provided for protecting cerebrovascular circulation from embolic fragments released during indexed surgery. The embolic protection filter is delivered in a reduced profile configuration via the access catheter and positioned on the aorta across the three major vascular openings leading to the cerebral circulation. Thereafter, the indexing surgical catheter is advanced through the same access catheter to perform indexing surgery. The indexing procedure may be transcatheter aortic valve replacement.

The invention discloses a neurological serious high-simulation invasive operation simulation training and neuroanatomy demonstration teaching system, and belongs to the technical field of medical education and clinical skill training. The system comprises a neuroanatomy demonstration system, a high-simulation invasive operation simulation training system and an integrated computer host. The dissection demonstration system visually displays key structures such as cerebral artery, vein, cranial nerve and cerebrospinal fluid circulation through a dynamic model and a three-dimensional visualization technology; the operation simulation training system adopts a biomimetic material human body model to truly simulate the hand feeling and feedback of more than ten neurological serious invasive operations such as lateral ventricle puncture, trachea cannula and central venous catheterization; the computer host integrates the functions of case scene simulation, process video recording and redisk and intelligent examination and evaluation. According to the invention, integration, scenario and intelligence of anatomy teaching and operation training are realized, a safe, repeatable and evaluable high-quality training environment is provided for students, and the efficiency and clinical practice ability of neurological intensive medicine teaching are effectively improved.

The application relates to the technical field of cerebral artery detection, and discloses a cerebral artery dissection detection system based on image processing. The system comprises the following steps: acquiring cerebral medical image data through an image data acquisition module and performing standardization and calibration to generate an original image data set; performing image enhancement and noise filtering on the original image data set through an image preprocessing module to obtain preprocessed image data; calculating blood vessel morphological features and blood flow features according to the preprocessed image data through a feature extraction module to generate blood vessel feature extraction results; analyzing the blood vessel feature extraction results through a dissection detection module adopting a pattern recognition technology to identify a cerebral artery dissection area to obtain an initial dissection detection result; quantifying dissection geometric properties and spatial distribution parameters according to the initial detection result through a parameter analysis module to generate dissection parameter analysis results; and adjusting detection threshold values and algorithm parameters based on the analysis results through a detection optimization module to generate optimized dissection detection results.

The invention provides a brain circulation time measuring method and device, a terminal and a storage medium, and belongs to the technical field of data information processing, and the method comprises the steps that a target file is acquired, and the target file comprises internal carotid artery time-intensity curve data and jugular vein time-intensity curve data after a user carries out intravenous injection of an ultrasonic contrast agent; determining a moment when the signal intensity of the internal carotid artery reaches 10% of the signal amplitude for the first time as a first time point; determining a moment when the signal intensity of the jugular vein reaches 10% of the signal amplitude for the first time as a second time point; and obtaining the brain circulation time based on the first time point and the second time point. By automatically processing the time-intensity curve data of the internal carotid artery and the jugular vein, the first time point and the second time point can be effectively identified, the cerebral circulation time is automatically calculated based on the two time points, and the accuracy and efficiency of cerebral circulation time measurement can be effectively improved.

Described are methods and systems for transcervical access of the cerebral arterial vasculature and treatment of cerebral occlusions, including ischemic stroke. The methods and devices may include methods and devices which may provide aspiration and passive flow reversal, those which protect the cerebral penumbra during the procedure to minimize injury to brain, as well as distal catheters and devices to remove an occlusion. The methods and devices that provide passive flow reversal may also offer to the user a degree of flow control. Devices and methods which provide a way to securely close the access site in the carotid artery to avoid the potentially devastating consequences of a transcervical hematoma are also described.

To provide catheter systems and methods for accessing the brain during endovascular / neurointervention procedures in treatment of ischemic stroke.SOLUTION: Catheter systems are described that enable quicker and improved access to cerebral vessels as well as improved processes of accessing and aspirating blood clots from the cerebral vessels of a patient with acute ischemic stroke due to medium or large vessel occlusion. For gaining access to cervical and cerebral arteries in the brain of a patient and aspirating an intracranial clot from the cerebral arteries, a catheter comprises a catheter body having a distal tip region and a proximal region. The catheter body has a length longer than 120 cm and an outside diameter (OD) longer than 6F and shorter than 10F; and the distal tip region has a length of 12 to 30 cm.SELECTED DRAWING: Figure 2A

The utility model provides a multi-mode stimulation device for promoting cerebral circulation, and aims to solve the problem of poor cerebral circulation improvement effect caused by single stimulation mode of equipment for promoting cerebral circulation in the prior art. A multi-mode stimulation device for promoting cerebral circulation comprises a glasses assembly which comprises a glasses frame and two glasses legs located on the left side and the right side of the glasses frame respectively, and the glasses frame is provided with two sets of LED lamp assemblies which correspond to the left eye and the right eye of a person respectively and emit light at the frequency of 40 HZ; the nose plug assembly comprises a mounting seat electrically connected with the glasses legs and two nose plugs arranged on the mounting seat, and a near-infrared lamp emitting light at the frequency of 40HZ is arranged in each nose plug; the earplug assembly comprises two earplugs capable of producing sound at the frequency of 40HZ, and the two earplugs are respectively arranged on the two glasses legs. According to the invention, through photoacoustic multi-mode synergistic stimulation, the effect of better improving the cerebral blood perfusion function can be achieved, so that the cerebral function is improved.

The invention relates to the technical field of cerebral artery detection, and discloses a cerebral artery dissection detection system based on image processing. According to the system, brain medical image data is acquired through an image data acquisition module and standardized and calibrated, and an original image data set is generated; the image preprocessing module performs image enhancement and noise filtering on the original image data set to obtain preprocessed image data; the feature extraction module calculates blood vessel morphological features and blood flow features according to the preprocessed image data, and generates a blood vessel feature extraction result; the interlayer detection module analyzes the blood vessel feature extraction result by adopting a mode recognition technology, and recognizes a cerebral artery interlayer area to obtain an initial interlayer detection result; the parameter analysis module quantifies interlayer geometric attributes and spatial distribution parameters according to the initial detection result, and generates an interlayer parameter analysis result; the detection optimization module adjusts a detection threshold and algorithm parameters based on the analysis result, and generates an optimized interlayer detection result.

This invention provides a cerebral artery pressurized perfusion device, belonging to the technical field of forensic identification auxiliary equipment. It includes an operating table, a reservoir, a first peristaltic pump, perfusion needles, a touch panel, and an electrical control box. The reservoir is placed on the upper surface of the operating table's base plate. The first peristaltic pump is connected to the lower surface of the operating table's top plate. Two perfusion needles and the first peristaltic pump are connected by a flexible hose with a three-way connection. The touch panel is detachably connected to the operating table. The electrical control box is fixedly connected to the upper surface of the operating table's base plate, and the first peristaltic pump is electrically connected to the electrical control box. Compared to traditional manual injection of contrast agent, this invention allows for automatic injection, flexible adjustment of the injection speed, and prevention of air bubble injection, shortening working time while ensuring the quality of subsequent arterial angiography images. It possesses good practicality and economy.