32 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.

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.

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.

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.

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.

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 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.

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.

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.

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.

According to the present invention, one or more image pairs, each consisting of a fluoroscopic image and an angiographic image taken from the same position and the same viewing direction onto the patient and each being a non-stitched image, are acquired. A live fluoroscopic image is registered individually with the fluoroscopic image within the at least one of the one or more image pairs, such that the spatial relationship between the live fluoroscopic image and the at least one fluoroscopic image, and thus with the one or more angiographic images and the one or more image pairs in general, becomes known. Angiographic information representing the vascular structure can then be taken from those parts of the angiographic images within the one or more image pairs which overlap with the live fluoroscopic image and be overlayed over the live fluoroscopic image.

This invention discloses a dynamic digital model of human blood vessels and an aging simulation system. This system, which belongs to the fields of medical image processing and biomedical engineering, includes a medical image data processing module, a generative network module, a population data analysis module, an aging simulation module, and a dynamic rendering module. Using this dynamic digital model of human blood vessels and aging simulation system, the invention achieves dynamic, controllable, and precise simulation of human vascular structure and function, and simulates the aging process of blood vessels.

The present invention relates to a guidance for treatment of a chronic total occlusion. In order to provide improved guidance information for chronic total occlusion treatment, a device (10) for guidance for treatment of a chronic total occlusion is provided that comprises an image supply (12), a data processor (14) and an output (16). The image supply provides a sequence of angiographic images comprising a vascular structure. The data processor detects at least one portion of the vascular structure indicating a total occlusion of a vessel based on the sequence of angiographic images; and determines an image of the sequence of images that shows at least one segment of the vessel next to the total occlusion; and generates guidance image data based on the determined image. The output provides the generated guidance image data. Thus, additional information relating to spatial aspects is provided to the user based on 2D image data.

The invention provides a super-resolution ultrasonic imaging method and a super-resolution ultrasonic imaging system, which are applied to blood vessel blood flow structure imaging of animals, people and other living biological tissues, and the method comprises the following steps: acquiring data containing ultrasonic contrast agent signals of living biological tissue blood vessels; according to the method, a machine learning method is used for processing data containing ultrasonic contrast agent signals so as to obtain a structure and a blood flow parameter diagram of a living body biological tissue blood vessel, and the problem that the structure and the blood flow parameter diagram of a super-resolution blood vessel rebuilt under the high-concentration microbubble condition are distorted is solved; compared with the prior art, the method has the advantages that high-quality trajectory tracking capability is still kept within shorter acquisition time and under higher microbubble concentration, higher-quality structure and blood flow parameter diagrams are obtained, and the method is wide in application range and can be applied to various different living body biological tissue blood vessels.

The invention discloses a cardiovascular disease risk prediction method based on retinal vascular structure bidirectional modulation guided by clinical information, and relates to the problem that in cardiovascular disease risk assessment, an existing method is difficult to effectively fuse retinal vascular structure features and non-invasive clinical indexes and describe abnormal differences of vascular forms in different crowd subgroups. Retinal vascular structure change is an important premature number of cardiovascular diseases, but a single-mode risk prediction method is difficult to represent an association relationship between vascular form information and clinical indexes. Therefore, the invention provides a cardiovascular disease risk prediction method for retinal vascular structure bidirectional modulation based on clinical information guidance. According to the method, the blood vessel morphological anomaly characterization capability is improved through blood vessel marker modeling guided by medical knowledge, and effective fusion of retinal blood vessel features and clinical features is realized through two-way modulation of subgroup perception and a cross-modal alignment mechanism guided by a prototype. The method can be used for risk assessment and early prediction of cardiovascular diseases.

The present application relates to a liver model, a human model, a surgical navigation method, a preparation method and a system, the liver model comprising a liver parenchyma made of trichlorohydroxydiphenyl ether, a vascular structure arranged in the interior of the liver parenchyma and made of silicone rubber, and a liver capsule covering the surface of the liver parenchyma and made of polyethylene film. The advantages are that, compared with a single photosensitive material, trichlorohydroxydiphenyl ether, polyethylene film and silicone rubber are low in price and easy to obtain, thereby reducing the use cost and the difficulty in obtaining; the three materials can be easily assembled with each other, thereby greatly reducing the production difficulty; through the combination of the three materials, the liver model has a high degree of visualization, can not only be used for observation, but also can be used for preoperative simulation surgery, thereby facilitating the realization of ultrasonic exploration and surgical navigation.

The utility model relates to the technical field of medical instruments, and provides a limited aorta covered stent which comprises a stent body, the stent body is formed by weaving metal wires and is a hollow net-shaped cylinder, net-shaped intersections of the stent body are fixed through welding, the outer wall of the stent body is connected with a covering film through a connecting assembly, and the covering film is connected with the stent body through the connecting assembly. In order to cover lesions of multiple angles and quadrants, identification marks are arranged on the periphery of the covering film, the inner peripheries of the identification marks are fixedly connected with the outer periphery of the frame body, and 8 marks are arranged on the outer peripheries of the identification mark at the left end and the identification marks at the front end and the rear end. Through local film covering, on the premise that circulation of branch blood vessels is not hindered on the basis of a stent hollowed-out structure, the blood vessel crevasse is effectively blocked; extra windowing and branch stent positioning are not needed, so that the stent is simple in structure, easy to operate, free of customization and applicable to aorta and branch vascular structures of various different physiological structures, and flexibility and convenience of the stent are greatly improved.

Embodiments of the present invention provide a method, apparatus, medium, and device for assessing fundus vascular morphological characteristics. The method comprises: S1: preprocessing a fundus image; S2: performing vessel segmentation on the preprocessed fundus image to obtain a segmented fundus vascular image; and S3: determining, based on the segmented fundus vascular image, multiple parameters describing fundus vascular morphological characteristics. The advantages of embodiments of the present invention are that they use digital language to comprehensively describe vascular morphological characteristics from various angles, thereby providing a detailed understanding of fundus vascular morphology, facilitating the detailed assessment of abnormalities and changes in fundus vascular structure.