43 results about "Vascular structure" patented technology

The invention relates to the technical field of medical navigation, in particular to an augmented reality blood vessel fusion navigation system for transcatheter occlusion, which comprises a real-time image acquisition module, a blood vessel three-dimensional model construction module, an image enhancement module, a navigation module and a fusion module, and is characterized in that the image acquisition module is connected with an ultrasonic catheter to acquire a blood vessel three-dimensional image. The model construction module creates a three-dimensional blood vessel model based on the images, the image enhancement module enhances the blood vessel image through spatial adaptive transformation, key point recognition, region adaptive segmentation and edge feature extraction, and the navigation module determines the position of the tip of the catheter by using the three-dimensional blood vessel model and the enhanced image. The fusion module fuses the enhanced image and the blood vessel model to generate fusion display data, and the AR equipment displays the blood vessel three-dimensional model at the tip position of the catheter in an overlapping manner based on the tip position of the catheter and the fusion data, so that the visualization effect of a complex blood vessel structure is remarkably improved, and an accurate space reference is provided for catheter navigation.

The invention discloses a brain arteriovenous malformation vascular structure lumped model simulation method and system, and the method comprises the steps: obtaining the three-dimensional image data of a preset region of the head of a human body, and recognizing a brain arteriovenous malformation vascular mass region in the three-dimensional image data; constructing a blood vessel three-dimensional structure model, and acquiring three-dimensional space coordinate data of each voxel in the cerebral arteriovenous malformation vascular cluster region in the model; calibrating an inlet and an outlet of the blood vessel three-dimensional structure model and corresponding pressure set values and / or flow velocity set values; extracting a plurality of skeleton points of the blood vessel based on the blood vessel three-dimensional structure model to obtain a microscopic blood vessel network; based on the three-dimensional space coordinate data, the length and the average diameter of each blood vessel in the microscopic blood vessel network are obtained, and the flow resistance of the blood vessels is calculated; based on the pressure set value and the flow velocity set value of the blood vessel three-dimensional structure model and the flow resistance of each blood vessel, the blood flow velocity and pressure distribution data of each blood vessel are calculated through a lumped parameter model, and the hemodynamic characteristics of the cerebral arteriovenous malformation blood vessel are obtained.

The invention provides an intraoperative real-time navigation system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for obtaining the three-dimensional form data of a liver and a biliary tract through an intraoperative ultrasonic imaging device, and collecting the elastic modulus distribution parameters of liver parenchyma and a bile duct wall; the construction registration module is used for constructing a real-time digital twin in the liver and gall area based on the three-dimensional form data and the elastic modulus distribution parameters, and carrying out multi-mode non-rigid registration on the digital twin and the liver surface topography and the vascular structure which are subjected to optical coherence tomography in the operation; therefore, a dynamic space mapping relation between the organ structure and the image data is established. According to the method, real-time navigation in the operation is realized through digital twinning, the obstacle avoidance path is updated, and the safety and efficiency in the operation are improved.

The invention relates to a branch blood vessel endoluminal repair system which comprises at least two guide wires and a support conveying device, the support conveying device comprises an outer sheath tube and a film covering tube which are connected in a sleeved mode, and the film covering tube comprises a main body part connected to the at least two guide wires in a sleeved mode. The main body part and the at least two branch parts are connected to the guide wires in a sleeving mode in a one-to-one correspondence mode, the film covering pipe is provided with a containing position and a working position, the film covering pipe is folded to the inner side of the outer sheath pipe at the containing position, and the main body part and the branch parts move to the outer portion of the outer sheath pipe at the working position, so that the main body part and the branch parts form a cavity channel used for implanting a support. By means of the technical scheme, the branch blood vessel intracavitary repair system can solve the problems including but not limited to iliac artery lesions (such as dilatation and stenosis lesions), the application requirement suitable for a complex blood vessel structure is met, and the applicability is high.

Methods are provided of digitally exploring a vascular structure of a brain. Such methods comprise segmenting a digital medical image of the brain to determine vascular pixels or voxels which are those pixels or voxels belonging to the vascular structure in the digital medical image; producing, based on skeletonizing the segmented digital medical image, a brain vascular model modelling vascular features of the vascular structure; receiving definition data from a user to define a first Region of Interest, ROI, or Volume of Interest, VOI, and a second ROI or VOI in either the digital medical image or the brain vascular model; and comparing vascular features in the first ROI or VOI with vascular features in the second ROI or VOI. Exploring systems, computer systems and computer programs that are suitable for performing such exploring methods are also provided.

A method for assessing pupillary shape using a pupillometer is described. The method includes capturing sequential images of a subject's pupil; analyzing the images using an image processing algorithm associated with the pupilometer to determine pupil shape characteristics, including ellipticity, eccentricity, and cyclotorsion; using an image processing mode associated with the pupilometer selected from speckle imaging and spectral imaging to enhance visualization of vascular structures with an iris of the pupil; comparing detected pupil shape characteristics against predetermined criteria to assess the presence of abnormalities; and outputting a binary status, graphical representation, or quantified measurement of the pupil shape on a display.

The invention relates to a contrast-agent-free angiography generation system and method based on mask guidance, a parameter optimization device is used for performing parameter optimization on a conversion device by utilizing a loss function capable of highlighting a contrast agent shadow, and the capability of capturing complex image details of the conversion device is improved. Then, the Gaussian noise image is fused into a contrast-agent-free computed tomography image through a conversion device, computed tomography angiography is obtained through a fusion mode of feature sampling and gradual denoising, and it is guaranteed that the obtained computed tomography angiography has enough consistency and sense of reality; and the sharpness and fidelity of the generated vascular structure are improved.

A platform device for material excision or removal from vascular structures for either handheld or stereotactic table or robotics platform use may comprise a work element or elements configured to selectively open and close at least one articulable beak or scoopula configured to penetrate and remove intra-vascular materials or obstructions or follow a central lumen of another device or over a wire in a longitudinal direction. Flush and vacuum tissue transport mechanisms may be incorporated as well as single or multiple arrays of image guidance elements, directional elements, ablation elements and other interventional assistance elements. A single tube or an inner sheath and an outer sheath which may be co-axially disposed relative to a work element may be configured to actuate a beak or beaks or scoopulas and provisions for simultaneous or differential beak or scoopula closing under their differential rotation may be incorporated.

The present invention relates to a catheter specially used for aspirating thrombus at the distal end of cerebral blood vessels, which is composed of a catheter seat, a stress release tube and a tube body. The main part of the tube body is composed of three layers, namely, an inner layer, a braided layer and an outer layer. The outer layer material is designed in sections, which is designed according to the physiological and anatomical structure of cerebral blood vessels and provides corresponding flexibility according to different sections of blood vessels. The catheter is mainly made of one or more of nylon 12, PEBAX and TPU polyester materials which cooperate with each other. The outer layer material of the catheter of the present invention is segmented according to the physiological and anatomical structure of cerebral blood vessels and provides corresponding flexibility and pushing performance according to different sections of blood vessels, so that the catheter can effectively adapt to the blood vessel structure and facilitate the catheter to reach the lesion position.

The application relates to a kind of neural puncture dynamic obstacle avoidance navigation method and system based on multi-modal image fusion, belong to medical image navigation and surgical operation technical field, by fusing preoperative high-resolution static image and intraoperative real-time dynamic ultrasound data, construct unified space-time reference model, and utilize artificial intelligence technology to automatically segment and reconstruct the three-dimensional model of key neural vascular structure, can be based on real-time image data dynamic calculation optimal puncture path and real-time monitoring collision risk in the process of needle insertion, provide multi-sensory fusion intuitive navigation guide for operator through augmented reality technology, through recording and analyzing the whole process data of operation, utilize big data platform to continuously iterate optimization to segmentation and obstacle avoidance algorithm, form self-improving intelligent closed loop.The application effectively solves the problems that traditional neural puncture surgery depends on the experience of operator, cannot real-time dynamic obstacle avoidance and system lacks learning ability, significantly improves the precision, safety and intelligent level of operation.

A platform device for material excision or removal from vascular structures for either handheld or stereotactic table use may comprise a work element or elements configured to selectively open and close at least one articulable beak or scoopula configured to penetrate and remove intra-vascular materials or obstructions or follow a central lumen of another device or over a wire in a longitudinal direction. Flush and vacuum tissue transport mechanisms may be incorporated. A single tube or an inner sheath and an outer sheath which may be co-axially disposed relative to a work element may be configured to actuate a beak or beaks or scoopulas and provisions for simultaneous beak or scoopula closing under rotation may be incorporated.

The invention relates to an intravenous infusion device which comprises a shell, an image acquisition assembly, an intravenous infusion assembly and a controller, and the shell is provided with a hand placing area; the collecting end of the image collecting assembly is arranged right facing the hand placing area; the intravenous infusion assembly comprises a moving part and a clamping tool, the moving part is installed on the shell, the output end of the moving part is connected with the clamping tool, and the clamping tool is provided with a clamping end; the controller is electrically connected with the image acquisition assembly, and the controller is electrically connected with the moving part; the needle head is fixed to the clamping end of the clamping tool, meanwhile, the hand of a patient is placed in the hand containing area, at the moment, the image collecting assembly collects image information, the controller receives and processes the image information, three-dimensional coordinate information of the vascular structure of the hand of the patient can be obtained, and the controller controls the moving part to act. And the clamped needle head moves along the region close to the vascular structure until the puncture function is completed, and manual venous transfusion work is replaced.

The invention relates to a vessel structure root node extraction method and device, computer equipment and a storage medium. The method comprises the following steps: carrying out center line extraction on a bronchus segmentation mask of a target object to obtain a bronchus center line corresponding to the bronchus segmentation mask; according to the bronchial tube center line, determining a root bronchial tube position corresponding to the bronchial tube segmentation mask; according to the bronchial tube center line and the root bronchial tube position, generating a bronchial tube topological structure corresponding to the bronchial tube segmentation mask; and identifying at least one vascular structure root node in the bronchial segment segmentation mask according to the bronchial topological structure. By adopting the method, the segmentation accuracy of the lung image can be improved.

A method of providing vascular effects includes emitting infrared light toward a body part of a guest, receiving the infrared light from the body part of the guest, generating a signal indicative of the received infrared light, generating a set of coordinates corresponding to a vascular structure of the body part of the guest based on the signal indicative of the received infrared light, mapping the vascular structure to the body part of the guest, retrieving a portion of code representing a sprite, generating a series of images of the vascular structure of the body part of the guest and the sprite, and projecting the series of images of the vascular structure and the sprite onto the body part of the guest.

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.

Hockey players are at risk of laceration injuries to the neck, which can be fatal. Neck guards with cut-resistant material are available but have deficiencies that limit the safety protection that they can provide. The neck laceration prevention devices of the embodiments presented herein can provide improved safety. In one example embodiment, a neck laceration prevention device comprises a protective portion and a support portion attached to the protective portion. The protective portion comprises a cut-resistant material and is shaped to protect vascular structures inferior to a base of skull entry and / or a submental / submandibular region of a wearer of the neck laceration prevention device. The support portion is configured to maintain a position of the protective portion on the wearer of the neck laceration prevention device.

The application discloses a method and system for jointly performing photoacoustic-ultrasound depth resolution multilayer craniocerebral microvessel imaging, and the method comprises the following steps: firstly, threshold processing is performed on the amplitude of collected photoacoustic-ultrasound data; secondly, a single pixel value on a scanning plane is cross-correlated with an ultrasonic echo signal of a reference glass to determine the outer surface of the skull, the process is repeated for all scanning points, and the inner surface of the skull is identified in combination with a photoacoustic image; the inner and outer surfaces of the skull in a selected region on the skull are manually segmented using the above information, the average skull thickness is calculated, then a skull angle correction uniform model is established, and the effective thickness of the skull is calculated; finally, the effective thickness of the skull is used to perform depth layer imaging on craniocerebral microvessels in a photoacoustic image. Based on the application, a fine craniocerebral microvessel network image can be obtained, which is helpful for the analysis of craniocerebral vascular structure and can be expected to be used in the field of medical image analysis.

The present application relates to the technical fields of magnetic resonance and medicine, and discloses a magnetic resonance-based vascular structure analysis method and apparatus, a computer device, and a storage medium. The method comprises: acquiring a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is a T2 relaxation time obtained by performing nuclear magnetic resonance imaging using an SE sequence, and the second T2 relaxation time is a T2 relaxation time obtained by performing nuclear magnetic resonance imaging using a GE sequence; performing calculations on the basis of the first T2 relaxation time and the second T2 relaxation time, and determining an average radius of blood vessels and microvascular density within lesion tissue; and performing medical analysis on the basis of the average radius of blood vessels and the microvascular density. Hence, the average radius of blood vessels and the microvascular density within the lesion tissue can be provided and subsequently analyzed, thereby enabling evaluation of the vascular condition of the lesion tissue and quantitative analysis of vascular changes in regions surrounding the lesion tissue, facilitating comprehensive treatment effects, and improving the accuracy of early tumor diagnosis.

The present invention relates to a mask-guided, contrast-free angiography generation system and method. A parameter optimization device optimizes the parameters of a conversion device using a loss function that emphasizes contrast-enhanced shadows, improving the conversion device's ability to capture complex image details. The conversion device then integrates a Gaussian noise image into a contrast-free computed tomography image, and a computed tomography angiography is generated through a fusion of feature sampling and progressive denoising. This ensures sufficient consistency and realism in the resulting computed tomography angiography, improving the sharpness and fidelity of the generated vascular structures.

The invention relates to a vessel structure root node extraction method and device, computer equipment and a storage medium. The method comprises the following steps: carrying out center line extraction on a bronchus segmentation mask of a target object to obtain a bronchus center line corresponding to the bronchus segmentation mask; calculating each bronchial segment label value of the bronchial central line, and searching each bronchial central line end point corresponding to the bronchial central line; the bronchial segment label value represents the type of the bronchial segment structure; and screening out at least one vessel structure root node in the bronchial segment segmentation mask from the endpoints of the bronchial center lines according to the bronchial segment label values. By adopting the method, the segmentation accuracy of the lung image can be improved.

The invention provides an application of GPR146 in treatment of abdominal aortic aneurysm. The application proves that the morbidity and mortality of the aortic aneurysm can be effectively reduced by knocking down or knocking out the GPR146; reducing the diameter of the abdominal aorta; the conditions of artery lumen stenosis, vascular structure disorder, remodeling and elastic fiber fracture are reduced. The application provides a new treatment approach beyond surgery for the clinical problem of abdominal aortic aneurysm treatment.

The invention relates to the technical field of spinal tumor excision, in particular to a novel spinal tumor whole block excision method. A novel integral spinal tumor excision method comprises the following steps that S1, a patient is placed in a prone position after being anesthetized, skin and soft tissue structures around a posterior vertebral arch part of a tumor segment are cut open and free according to an operation safety boundary designed before an operation, and pedicle screws are placed in normal vertebral segments above and below a tumor vertebra; s2, cutting part of normal ribs of the tumor vertebral segment on two sides, entering the thoracic cavity through the outside of the pleural cavity, and passively stripping a great vascular structure on the ventral side of the vertebra along the front edge of the vertebral body only at the normal vertebral osteotomy level of the upper end and the lower end of the tumor vertebral by using the finger of a surgeon to enter the front part of the vertebral body, a protection baffle is arranged between the vertebral body and the free blood vessel through the stripping gap, and a fret saw is arranged; and S3, performing En-bloc excision on the tumor vertebrae by using a rotation-rotation technology. Tumor boundaries can be separated, tumors can be removed more thoroughly, and tumor residual recurrence is avoided.

Provided are a method and apparatus for analyzing diagnostic image data, wherein, based on at least one functional parameter, correspondence detection of a vessel of interest is performed between a first diagnostic image and a second diagnostic image by matching one or more values ​​of the functional parameter at specific locations along the vessel of interest in the vascular structure of a patient shown in the first and second diagnostic images, thereby determining a correlation between the locations based on the functional parameter values ​​rather than solely on the vessel geometry.

Techniques are described to utilize machine learning to analyze EBUS ultrasound imagery. Models are trained on annotated samples to identify important vascular landmarks, lymph node stations, and other structures.

A method for manufacturing a vascular structure comprising: a) the fabrication of elements comprising at least one core comprising at least one biopolymer, and endothelial cells and / or endothelial progenitor stem cells on its outer periphery; b) the placement of said elements in a fluidic chamber so that they form at least one stack; c) the establishment of a fluid flow ensuring nutrient and oxygenation supply through the stack so as to create channels between the elements along the flow lines. No abstract figure.

The invention discloses a human blood vessel dynamic generation digital model and senescence simulation system, which belongs to the technical field of medical image processing and biomedical engineering and comprises a medical image data processing module, a generative network module, a crowd data analysis module, a senescence simulation module and a dynamic rendering module. According to the human blood vessel dynamic generation digital model and the senescence simulation system, dynamic, controllable and accurate simulation of the structure and the function of the human blood vessel is achieved, and the senescence process of the blood vessel is simulated.

The invention relates to a lung segment image determination method and device, computer equipment and a storage medium. The method comprises the following steps: segmenting a lung scanning image of a target object to obtain each bronchial segment segmentation image and each lung lobe segmentation image; inputting the lung scanning image into a vascular structure root node extraction model to obtain each vascular structure root node; inputting each bronchial segment segmentation image and each vascular structure root node into a lung lobe image section reconstruction model to obtain a lung lobe image section corresponding to each lung lobe segmentation image; and segmenting the corresponding lung lobe segmentation image according to the section of each lung lobe image to obtain each lung segment segmentation image. By adopting the method, the accuracy of lung segment segmentation in the lung image can be effectively improved.

A replacement heart valve device is disclosed. In some embodiments, the device includes a frame coupled to one or more valve leaflets that is movable between an open configuration and a closed configuration. In some embodiments, the frame includes at least two frame sections that are coupled at a pair of cross-linking posts. In some embodiments, the device may be geometrically conformable to accommodate the shape and size of different vascular structures and / or to be sized to change while implanted within a growing patient.

The invention discloses a hydrogel system membrane model with an empty heart blood vessel structure as well as a preparation method and application thereof, and the hydrogel system membrane model is characterized by being formed by a reaction system comprising the following components in parts by weight: 8-12 parts of polyvinyl alcohol, 1.5-2.5 parts of ethylene vinyl alcohol, 8-12 parts of N-hydroxymethyl acrylamide and 1-4 parts of polyethylene glycol diacrylate, 0.15-0.25 part of a photoinitiator, and the balance of a mixed solvent, totaling 100 parts; the mixed solvent is a solution formed by mixing a polar organic solvent and deionized water according to a volume ratio of 6: 4 to 8: 2; the preparation method comprises the following steps: dissolving polyvinyl alcohol and ethylene vinyl alcohol in stages through an n-propyl alcohol / water mixed solvent system, introducing hydroxymethyl acrylamide to prepare a dual cross-linked network, and preparing a hydrogel model by combining a photocuring process under the wavelength of 405nm. The invention has the beneficial effects of high fidelity reduction of mesenteric blood vessel morphology with water resistance and adhesion, excellent mechanical properties and thermal stability, and suitability for clinical training.

This invention relates to the field of image processing technology, specifically to an automated intracranial aneurysm detection system based on CT images. The system includes: analyzing all local regions of each vascular segment based on vascular CT images to obtain the probability of local vascular abnormalities; identifying potential abnormal bulging regions based on these probabilities; further obtaining candidate regions for the vascular segment and candidate regions for bifurcation points; obtaining a first aneurysm probability based on the degree of protrusion and perpendicularity of the growth direction of the candidate regions, and distinguishing between physiological curvature and aneurysm regions based on the first aneurysm probability; calculating a second aneurysm probability based on the positional difference value and sphericity matching degree of the candidate regions for bifurcation points, and distinguishing between natural bulges at bifurcation points and aneurysm regions based on the second aneurysm probability. By analyzing different morphologies and structures of intracranial vessels, the system distinguishes between normal vascular structures and aneurysm regions, thereby achieving accurate identification of intracranial aneurysms.