51 results about "Vascular reconstruction" patented technology

The invention discloses application of methylenetetrahydrofolate dehydrogenase 2 and a coding gene thereof in vascular remodeling. The invention provides a new thought for preventing, treating and / or relieving vascular remodeling and / or vascular remodeling related diseases.

The invention discloses an enhanced Swinin-Unet liver tumor segmentation method fusing blood vessel guidance and adaptive deformation attention. Through combination of elastic B-spline registration and affine transformation, nonlinear deformation is compensated, a multi-modal image space alignment error is reduced, and tumor boundary blur and feature dislocation are reduced. Topological features are extracted in combination with a blood vessel reconstruction module, and model attention is effectively guided. The encoder adopts a convolution pool and a deformable attention SADR down-sampling, and a lightweight deformable attention module is integrated through jump connection, so that effective multi-scale feature fusion and space alignment are realized, and the model perceptibility is enhanced. The graph theory model is embedded into liver lobe partition and blood vessel curvature constraint, and it is ensured that the segmentation result is strictly matched with blood vessel blood supply topology. In order to solve the class imbalance problem, an FA loss function is provided and combined with a structure correction algorithm (SGDR), so that incomplete segmentation and false positive artifacts are effectively reduced. Experimental verification on a LiTS data set shows that the method is superior to an existing method in liver and tumor segmentation, and Dice coefficients reach 93.38% and 91.39% respectively.

The invention discloses an intracranial MRA blood vessel reconstruction system, electronic equipment and a storage medium, the intracranial MRA blood vessel reconstruction system comprises a data collection module, a data preprocessing module, a segmentation model mixed training module and a model reasoning module, the data collection module is used for screening patient data and labels suitable for mixed training; the data preprocessing module is used for processing the patient data; the segmentation model mixed training module is used for carrying out mixed training on the segmentation model by utilizing the existing segmentation data; and the model reasoning module is used for segmenting the brain blood vessel in the input MRA image by using the segmentation model after mixed training to obtain a reconstruction result. By the adoption of the technology, based on mixed training, the requirement for MRA training data can be lowered, the precision of MRA blood vessel reconstruction is improved, the diagnosis efficiency and the diagnosis accuracy are improved, a doctor can formulate an operation scheme according to the three-dimensional structure of the brain blood vessel, and the success rate of an operation is increased.

The application discloses a breast-conserving surgery perforator flap intelligent navigation system and method based on CT three-dimensional blood vessel reconstruction and AI dynamic blood flow analysis, and comprises an image processing module. The image processing module generates a perforator blood vessel three-dimensional model with an accuracy of plus or minus 0.1 mm based on high-resolution CT thin-layer scanning data with a layer thickness of less than or equal to 0.625 mm through Mimics software. The application significantly improves the postoperative outcome of patients through multidimensional technology cooperation. In terms of complication control, the incidence of complications in the donor area is reduced from 22% in the traditional method to 3% (a reduction of 86%), and the expansion of trauma caused by perforator variation is avoided. In terms of aesthetic effect, for the breast-conserving surgery of medial quadrant breast cancer, the lateral thoracic artery perforator flap (LTAP) is combined with AI volume compensation. After the surgery, the postoperative breast upper pole depression rate is reduced from 35% to 5%, the BREAST-Q score of the patient is increased from 68 to 89, the requirements of 'tumor radical treatment' and 'functional aesthetics' are fully considered, the postoperative life quality of the patient is greatly improved, and the humanistic concept of modern tumor treatment is met.

The invention provides a vascular nerve function evaluation system and method after diabetic foot osteotomy. The diabetic foot osteotomy postoperative vascular nerve function evaluation system comprises a data acquisition module, a data processing and analysis module, a user interaction module, a data storage module and a communication module, and the data acquisition module, the data processing and analysis module and the user interaction module are sequentially connected. The user interaction module is connected with the processing and analyzing module, and the communication module is connected with the data storage module. According to the diabetic foot osteotomy postoperative vascular nerve function evaluation system and method, accurate evaluation of postoperative vascular reconstruction, nerve recovery and wound healing is achieved through multi-modal data collection, dynamic modeling and intelligent analysis, objective curative effect comparison and prognosis prediction can be provided for clinic, and the system and method have the advantages of being high in practicability and wide in application prospect. And the scientificity and efficiency of diabetic foot postoperative management are effectively improved.

The invention relates to the technical field of medical image processing, in particular to a multilevel vascular network reconstruction and segmentation method based on drainage basin analysis, which comprises the following steps: acquiring a 3D CT (three-dimensional computed tomography angiography) scanning result; based on the 3DCTA scanning result, reconstructing a 3D blood vessel network; performing image segmentation and enhancement processing on the 3DCTA scanning result to obtain an original blood vessel center line; constructing a pressure field based on the original blood vessel center line; determining a watershed position in the blood vessel network based on the pressure field; segmenting the blood vessel network according to the watershed position; and outputting a reconstructed 3D blood vessel network and a blood vessel segmentation result, and by ingeniously combining a drainage basin analysis theory and a traditional image processing technology, considering the geometric morphology and hemodynamic characteristics of the blood vessel in the blood vessel reconstruction and segmentation process. The accuracy of reconstruction and segmentation is improved, and a new view angle is provided for vascular function evaluation.

The embodiment of the invention provides a mammary gland prosthesis reconstruction method and system based on mammary gland MRI automatic segmentation and vascular reconstruction, a medium and an electronic device, and relates to the technical field of mammary gland prosthesis reconstruction technologies. The method comprises the following steps: acquiring mammary gland MRI data; performing segmentation processing on the mammary gland MRI data through a preset first model to obtain first data; performing blood vessel tracking processing on the mammary gland MRI data through a preset second model to obtain second data; determining prosthesis reconstruction data based on the first data and the second data; and performing mammary gland prosthesis reconstruction according to the prosthesis reconstruction data. According to the invention, the problem of low precision of prosthesis reconstruction is solved, and the effect of improving the precision of prosthesis reconstruction is achieved.

The application discloses a CT image blood vessel reconstruction method adopting a region growing method, relates to the field of blood vessel reconstruction, acquires a CT image of a target part through a CT image acquisition step, pre-processes the CT image through an image pre-processing step to obtain a processable CT image, and finally reconstructs blood vessels through a seed point selection step, a region growing analysis step, a region judgment step and a blood vessel reconstruction step, so that the accuracy of blood vessel reconstruction is greatly improved, the work efficiency of blood vessel reconstruction is further improved, the medical development in the field of blood vessel reconstruction is promoted, the blood vessel region is reanalyzed through a region stopping judgment step, the labeling of the blood vessel region before blood vessel reconstruction is more perfect and specific, the accuracy and the integrity of the blood vessel reconstruction result are improved, the probability of medical accidents is reduced, and the life and property safety of patients are ensured.

The invention related to medical devices, and in particular to arterial reconstruction devices. The aortic reconstruction device of the present invention is able to conveniently, smoothly, and effectively treat aortic aneurysm or dissection and reconstruct adjacent branch arteries without affecting the vascular perfusion thereof throughout the procedure. The present reconstruction device comprises: a stent graft, and an expansion component, said expansion component may be placed in the stent graft and expands to a size no smaller than the inner diameter of said stent graft.

The invention relates to the technical field of medical images, and discloses a cascade expansion neural network for sparse view CT reconstruction. According to the method, high-throughput information transmission is established between adjacent stages through the auxiliary information multi-channel enhancement initialization module, the information bottleneck of single-channel transmission of a traditional deep expansion network is broken through, and the characterization capability of a complex structure is enhanced; all historical features are aggregated through a cross-stage memory enhancement module, and long-range memory dependence is established, so that the problem of insufficient global context capture of the existing method is solved, and organ contour and fine blood vessel reconstruction is more accurate; the optimal threshold is dynamically generated through the content perception adaptive threshold module according to the input features, the limitation of a fixed threshold is overcome, and the optimal balance of noise suppression and detail reservation is achieved. Finally, the network can reconstruct a CT image with higher quality and higher diagnostic value under extreme sparse projection data, and the consistency, reliability and clinical diagnosis precision of sparse view CT quantitative analysis are improved.

This application discloses a method, device, and storage medium for determining vascular adhesion. The method includes: obtaining an aneurysm segmentation mask and a vascular reconstruction model based on grayscale images of cerebral vessels containing aneurysms; extracting the skeleton of the vascular reconstruction model to construct a vascular skeleton topology graph containing nodes and edges; marking the edges in the vascular skeleton topology graph based on the aneurysm mask and setting the edge weights according to the distance between the nodes and the aneurysm to obtain an optimized vascular skeleton topology graph; performing loop detection based on the optimized vascular skeleton topology graph to obtain abnormal loops; calculating the gradient of the grayscale image of the cerebral vessels to obtain a gradient magnitude map, and verifying the adhesion of the edges contained in the abnormal loops based on the gradient magnitude map to determine the adhered edges and obtain the adhesion result. The solution of this application can combine topological features and image features to construct a multi-evidence fusion discrimination logic, improving the accuracy of adhesion determination.

The invention discloses a system and a method for three-dimensional imaging and curve and curved surface physical dimension measurement, and relates to the technical field of medical imaging. According to the system, a binocular infrared structured light imaging system is built, and the overall design of the system is specially used for three-dimensional imaging and extraction of human blood vessels. According to the system, a mixed infrared light source is adopted, and dense and bright and dark alternating structured light spots are emitted and used for increasing surface textures of a detected human body so as to carry out more accurate three-dimensional reconstruction. The three-dimensional reconstruction method is a reconstruction algorithm based on a binocular parallax principle. And finally, reconstructing a human body surface three-dimensional point cloud image and a blood vessel three-dimensional image after blood vessel segmentation. The problem that a pain point of a three-dimensional coordinate cannot be detected due to the fact that a blood vessel image is invisible in a visible light band is solved. The blood vessel three-dimensional image obtained by the system can be used as an image basis for blood vessel puncture, blood vessel surgery, blood vessel diagnosis and the like.

The present application provides a two-component in-situ adhesive based on supercharged protein and preparation method and use thereof. The two-component in-situ adhesive of the present application may be used for in-situ and rapid gelatinization at tissue wounds, showing excellent adhesion strength between tissues, and also showing excellent adhesion performance even on the moist tissue surface; after the gelatinization, its adhesive surface is soft, and may be used to achieve the effects of moist wound hemostasis, wound restoration and the like, for example, it may be used for assisting hemostasis in vascular reconstruction closure, or assisting suture in cranial suture site; at the same time, the adhesive of the present application also has the advantages of simple and rapid preparation process, no need for special devices, rapid adhesion and biocompatibility and the like.

The application provides a blood vessel center line correction method and device, a storage medium and equipment. The method is applied to the technical field of blood vessel center line extraction. The method obtains an abnormal blood vessel mask area in a target blood vessel based on a blood vessel reconstruction view of the target blood vessel, performs abnormal type determination based on morphological features of the abnormal blood vessel mask area, and then corrects the abnormal center line of the abnormal blood vessel mask area based on a corresponding correction strategy. After the initial center line extraction of the blood vessel, the method increases the blood vessel abnormality determination process, assigns different correction strategies to different abnormal types, and corrects the abnormal center line caused by the blood vessel abnormality in a targeted manner, thereby improving the efficiency of the center line correction and the accuracy of the center line extraction.

The present disclosure provides for generating a 3D visualization of a blood vessel from intravascular ultrasound (IVUS) images. In particular, the present disclosure provides for reducing jitter between frames of an IVUS record to smoother the appearance of a longitudinal view of the blood vessel from the IVUS image frames, and constructing a 3D visualization of the blood vessel from jitter compensated IVUS image frames.

The present application relates to the technical field of image reconstruction, in particular to a liver tumor interventional preoperative blood vessel three-dimensional model reconstruction system, which can realize the following steps through the mutual cooperation between multiple modules: obtaining a liver CTA three-dimensional matrix of a target patient before liver tumor intervention; determining the blood vessel confidence corresponding to each voxel in the tumor peripheral region and the normal liver region; determining the gradient distortion degree corresponding to each voxel in the tumor peripheral region; determining the effective blood vessel proportion in the tumor peripheral region; performing adaptive blood vessel fracture completion screening processing according to the gradient distortion degree and the blood vessel confidence to obtain the tumor peripheral blood vessel region; and performing blood vessel reconstruction based on the effective blood vessel proportion in the tumor peripheral region and the gray value corresponding to the voxel in the tumor peripheral blood vessel region. The present application realizes the identification of the tumor peripheral blood vessel region and improves the accuracy of identification, thereby improving the rationality of liver tumor interventional preoperative blood vessel three-dimensional model reconstruction.

The invention discloses a physical simulation-based arc array photoacoustic tomography blood vessel recognition and mask generation method, which comprises the following steps of: performing optical and acoustic coupling simulation based on a three-dimensional blood vessel network model, and generating a simulated blood vessel reconstruction image and a reference fact mask which is spatially registered with the simulated blood vessel reconstruction image; constructing a training data set based on the simulated blood vessel reconstruction image and the reference fact mask, and training a deep learning network to obtain a blood vessel segmentation model; acquiring a real-time photoacoustic image and a real-time ultrasonic image, and determining position information of the target area according to the real-time ultrasonic image; cutting the real-time photoacoustic image according to the position information, and inputting the cut photoacoustic image into a blood vessel segmentation model to obtain a blood vessel prediction mask; and fusing the blood vessel prediction mask and the cut photoacoustic image to generate a final blood vessel recognition image. According to the invention, the synchronous generation and image fusion functions of the blood vessel mask are realized, and an effective technical means is provided for high-precision real-time photoacoustic image blood vessel recognition.

The invention discloses an ultrasonic vein image recognition blood vessel reconstruction enabling vein puncture device and method, and belongs to the technical field of ultrasonic vein puncture. Comprising a placing base, an ultrasonic vein image recognition device, an angle adjusting device, a front-back adjusting and moving device for moving the angle adjusting device front and back, an up-down moving and adjusting device for moving the front-back adjusting and moving device up and down, and a left-right moving and adjusting device for moving the up-down moving and adjusting device left and right. According to the device, the medical staff can directly carry out puncture operation by combining the astigmatism center mark with the blood vessel depth parameters displayed on the display screen, so that the puncture efficiency is improved, and the medical staff can conveniently and quickly carry out the puncture operation by using the positioning device for accurate positioning puncture and the auxiliary protection positioning equipment for carrying out protection positioning sleeving on the ultrasonic vein image recognition equipment. Depending on subjective experience judgment is not needed, the operation difficulty is effectively reduced, and it is ensured that patients with different body surface conditions can achieve precise puncture.

The present invention relates to a novel vascular anastomosis device, which belongs to the technical field of medical auxiliary equipment, and includes an anastomosis ring, a base, a connecting sleeve, a connecting rod mechanism, a closing knob and an ejection mechanism. The anastomosis ring, the base and the connecting sleeve are symmetrically arranged, the anastomosis ring is installed in cooperation with one end of the base, the other end of the base is clamped on the connecting sleeve, the connecting sleeve is connected to the connecting rod mechanism, the connecting rod mechanism is connected to the closing knob, the closing knob controls the movement of the connecting rod mechanism, and the closing knob is slidably installed with the ejection mechanism. The structural design of the present invention is reasonable. As an auxiliary device, it can increase the convenience and stability of vascular anastomosis, thereby accelerating the speed of vascular reconstruction; the auxiliary device is easy to operate, has a good effect in cooperation with the vascular anastomosis device, and is easy to master; in actual application, it can maximize the performance of the vascular anastomosis device and reduce the failure rate of vascular anastomosis.

The invention discloses a four-dimensional blood vessel reconstruction method and a mechanical calculation method, and relates to the technical field of blood vessel reconstruction. According to the four-dimensional blood vessel reconstruction method and the mechanical calculation method, the method comprises the following specific steps that three-dimensional space data of a blood vessel system in a time sequence is obtained, dynamic changes of blood vessels along with physiological activities are captured, a deformation model based on time correlation coefficients is established, and the deformation model is solved in combination with an image registration technology; and fusing the three-dimensional model of the time sequence into a four-dimensional space-time model, and realizing dynamic visualization by adopting a volume rendering technology. According to the method, a continuous space-time model is generated through a deformation model of a time correlation coefficient through multi-time-point registration and Gaussian kernel function interpolation, the dynamic visualization smoothness is remarkably improved, parameterized finite element grid discretization is combined with a hyperelastic constitutive equation to accurately simulate blood vessel wall stress distribution, the dynamic change of the blood vessel is displayed, and the dynamic visualization smoothness is improved. Periodic expansion and contraction of blood vessels are reflected, and risks caused by other clinical factors are evaluated.

The invention discloses a blood vessel reconstruction method and device and computer equipment, and relates to the technical field of image processing. After the computer equipment obtains original angiography data, the original angiography data can be input into the blood vessel reconstruction model, and a target blood vessel image is obtained. Wherein the pixel value of the blood vessel region in the target blood vessel image is greater than the pixel value of the first non-blood vessel region in the target blood vessel image. According to the method, the computer equipment can reconstruct the target blood vessel image of which the pixel value of the blood vessel region is remarkably enhanced and the pixel value of the first non-blood vessel region is remarkably suppressed based on the original angiography data. And the original angiography data can be obtained only through single scanning, so that compared with the related technology, secondary scanning is effectively avoided, the scanning time is shortened, the scanning efficiency is improved, and the radiation dose of the scanned object is reduced.

The present invention relates to a method for producing a highly functional artificial organ using aptamers, comprising blood vessels capable of transporting perfusate. When used as a coating agent for a decellularized scaffold, the aptamer according to the present invention enhances vascular adhesion, activity, and angiogenic potential, thereby enabling more effective vascular reconstruction than existing antibodies. Consequently, a vascularized artificial liver prepared using this aptamer reduces thrombosis in vivo and enhances liver function, and is therefore expected to be applicable to methods for treating diseases using artificial organs prepared using the aptamers according to the present invention.

The invention relates to the field of medical image processing, and discloses an acute ischemic stroke occluded section CT blood vessel reconstruction method, which comprises the following steps of: acquiring a preoperative and postoperative CT image of a patient with acute ischemic stroke large blood vessel occlusion and successful intravascular treatment for recanalization; a generative model is constructed, the generative model is used for generating a simulated occluded blood vessel for the non-occluded blood vessel, and a training sample of the generative model is a preoperative and postoperative CT image; based on the generative model, generating a simulated occluded blood vessel for the non-occluded blood vessel to obtain simulated occluded data; a segmentation model is constructed, and the segmentation model is used for performing blood vessel segmentation on the acute ischemic stroke CT image to complete reconstruction of an acute ischemic stroke occlusion segment CT blood vessel; training samples of the segmentation model comprise the simulated occlusion data and the preoperative and postoperative CT images. According to the method, the accuracy of acute ischemic stroke occlusion segment reconstruction is greatly improved.

A vascular imaging system, method and device, and an electronic device and a storage medium. The vascular imaging system comprises: an ultrasound device, which is used for collecting intravascular ultrasound images of a target object; an angiography device, which is used for collecting coronary angiography images of the target object; and a processing device, which is connected to both the ultrasound device and the angiography device, and is used for: determining a waveform-free interval of a diastolic phase within a cardiac cycle of the target object; respectively acquiring, from the images respectively collected by the ultrasound device and the angiography device, a target ultrasound image and a target angiography image of a target blood vessel of the target object within the waveform-free interval of the diastolic phase; performing vascular reconstruction on the basis of the target ultrasound image and the target angiography image, so as to generate a vascular model for the target blood vessel; and determining a fractional flow reserve of the target blood vessel on the basis of vascular parameters in the vascular model. The solution can reduce the discomfort of a subject, save on the test costs of the subject, and facilitate an improvement in the calculation precision of the fractional flow reserve of the target blood vessel.

The invention relates to the field of biological medicines, in particular to application of an inhibitor R406 taking NEK7 as a target spot in preparation of medicines for inhibiting phenotypic transformation of smooth muscle cells and improving neointimal neogenesis, and the inhibitor R406 can be widely applied to the field of cardiovascular disease treatment such as vascular injury repair and vascular restenosis prevention and treatment. The structural formula of the compound R406 is shown in the specification. The invention further provides application of the compound R406 or pharmaceutically acceptable salt thereof, or a pharmaceutical preparation containing the compound R406 or a pharmaceutical composition containing the compound R406 in preparation of drugs for preventing and / or treating diseases related to abnormal smooth muscle hyperplasia. According to the invention, the inhibitor R406 with NEK7 as a target spot is used for preparing drugs for inhibiting phenotypic transformation of smooth muscle cells and improving neogenesis of vascular intima. A brand new drug intervention strategy is provided for prevention and treatment of related diseases such as vascular restenosis and vascular remodeling failure.

The application discloses a kind of based on multiscale prior coordination mechanism intravascular ultrasound image segmentation reconstruction method.The application is as follows: collecting a variety of cardiovascular diseases IVUS dataset;IVUS dataset is divided into training set and test set;Multiscale prior coordination framework model is constructed, and the framework model specifically includes: prior correlation paradigm, hierarchical information enhancement module, adaptive fusion and upper and lower layer space coding module;Training set is preprocessed and data is enhanced;Input labeled training set to multiscale prior coordination framework model carries out IVUS image segmentation training;Adopt cross-entropy loss function, solve segmentation precision and class imbalance problem;The segmentation result is converted into three-dimensional model and is reconstructed to blood vessel, and generates blood vessel profile drawing.High-precision blood vessel structure segmentation result obtained using the application can generate accurate three-dimensional blood vessel model, and provide a intuitive three-dimensional view for cardiologist.

The present application relates to a blood vessel reconstruction method and apparatus, a computer device and a readable storage medium. The method includes: obtaining a plurality of intravascular ultrasound images of a target object (S202); binarizing each of the intravascular ultrasound images to obtain corresponding binary images (S204); traversing pixels of each of the binary images to select the pixels that meet a preset condition as target pixels, and delineating lumen edges of a blood vessel based on the target pixels to obtain segmented regions of interest (S206); obtaining coordinates of a center point of each of the regions of interest based on the segmented regions of interest (S208); constructing a centerline of the blood vessel based on all the obtained coordinates of the center points (S210); and reconstructing the blood vessel by arranging each of the intravascular ultrasound images along the centerline in a preset order (S212). The present application can pick out the pixels with more distinct lumen edge features, improving delineating accuracy, ensuring that the reconstructed three-dimensional model of the blood vessel is close to its actual condition, thus providing doctors with more effective information about the blood vessel.

The invention relates to the technical field of image analysis, in particular to an intracranial and extracranial blood vessel reconstruction method accompanying a cerebral aneurysm surgery, and the method comprises the steps: obtaining a target three-dimensional image corresponding to an intracranial and extracranial blood vessel accompanying the cerebral aneurysm surgery, and recognizing each target blood vessel in each slice in the target three-dimensional image; performing thickness condition analysis processing on each target blood vessel; determining a local difference index corresponding to each target blood vessel; determining the gray scale prominence degree corresponding to each pixel point in each target blood vessel; determining a gray level change difference corresponding to each target blood vessel; and performing MIP reconstruction according to the local complex indexes and the gray scale change differences corresponding to all the target blood vessels in all the slices and the gray scale values corresponding to all the pixel points in the target blood vessels. By analyzing the target three-dimensional image, local complex indexes and gray level change differences of the target blood vessel are quantified, so that blood vessel reconstruction is realized through MIP reconstruction, and the blood vessel reconstruction effect is improved.

The invention discloses a method and device for judging vascular adhesion and a storage medium. The method comprises the steps that an aneurysm segmentation mask and a blood vessel reconstruction model are obtained based on segmentation of a cerebrovascular gray image containing aneurysm; performing skeleton extraction on the blood vessel reconstruction model, and constructing a blood vessel skeleton topological graph containing nodes and edges; based on the aneurysm mask, marking edges in the vascular skeleton topological graph, and setting the weights of the edges according to the distance between the node and the aneurysm to obtain an optimized vascular skeleton topological graph; performing ring detection based on the optimized vascular skeleton topological graph to obtain an abnormal ring; and carrying out gradient calculation on the cerebrovascular grayscale image to obtain a gradient magnitude image, carrying out adhesion verification on edges contained in the abnormal ring based on the gradient magnitude image, and determining adhesion edges to obtain an adhesion result. According to the scheme of the invention, the discrimination logic of multi-evidence fusion can be constructed in combination with the topological features and the image features, and the accuracy of adhesion judgment is improved.