22 results about "Vascular reconstruction" patented technology

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 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 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 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 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 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 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.

The invention provides a blood vessel three-dimensional reconstruction method and system based on digital subtraction angiography, and relates to the technical field of medical image processing and three-dimensional reconstruction. The method comprises the following steps: performing frame-by-frame registration, subtraction processing and uniform sampling on a collected two-dimensional digital subtraction angiography DSA image sequence to obtain a frame sparse view; constructing and training a vessel three-dimensional reconstruction network based on the sparse view angle dynamic DSA, inputting the frame sparse view into the trained vessel three-dimensional reconstruction network based on the sparse view angle dynamic DSA, and generating geometric parameters and center attenuation values of all Gaussian kernels; calculating three-dimensional blood vessel volumes under all timestamps and performing voxelization averaging on the three-dimensional blood vessel volumes under all timestamps on the basis of the geometric parameters and the center attenuation values of all Gaussian kernels, and generating a static three-dimensional blood vessel model; and meanwhile, all Gaussian kernels are rendered to generate a synthesized DSA image under a new view angle. The invention aims to improve the integrity and the time sequence consistency of the micro blood vessel reconstruction under the sparse view angle.

The present invention relates to an implantable device configured to deliver, to an injured bone site, components for revascularisation and bone repair, the device comprising: a first osteoconductive scaffold component adapted to hold and deliver to the injured bone site, growth factors for inducing cellular events that initiate healing; and comprising a second osteoconductive scaffold component adapted to hold and deliver to the injured bone site, viable autologous osteogenic and / or angiogenic cells, and wherein the device also comprises a third scaffold component adapted to promote bone cell proliferation and vascularity, whereby the scaffold components provide a stable mechanical environment for promoting bone cell proliferation and vascularity. The present invention also relates to a method of manufacture of the implantable device.

The invention belongs to the technical field of medical apparatus and instruments, and discloses a concave titanium alloy fixing device for treating ischemic cerebrovascular diseases, which comprises a fixing sheet, the overall appearance of the fixing sheet is a butterfly-shaped symmetrical structure, the fixing sheet is a curved surface sheet body made of a biocompatible titanium alloy material, the surfaces of the two sides of the fixing sheet are curved surfaces bent in the same direction, and the surfaces of the two sides of the fixing sheet are curved surfaces bent in the same direction. The surface of the side, attached to the skull, of the fixing piece is a concave face, and the center of the fixing piece is sunken from the convex face side to the concave face side to form a sunken part. A plurality of fixing holes are formed in the fixing piece and evenly distributed in the surface of the fixing piece, and the inner diameter of each fixing hole is matched with the size of a screw. Through the arrangement of a butterfly-shaped symmetrical structure, the fixing piece can cover the oval bone flap, and all-directional pressing is carried out; the concave curved surface of the fixing piece is attached to the bone flap of a patient, the evenly-distributed protruding blocks provide larger and more uniform pressing force for the bone flap, the stability of the bone flap after restoration is remarkably enhanced, an STA / STF tissue bridging layer is pressed, and the postoperative healing and vascular reconstruction effects are better.

The application discloses a preparation method and application of a composition with antioxidation, thrombolytic, lipid-lowering and auxiliary blood vessel reconstruction effects, and relates to the technical field of functional compositions. The composition with the antioxidation, thrombolytic, lipid-lowering and auxiliary blood vessel reconstruction effects is characterized by being prepared from the following raw materials in parts by weight: 15-45 parts of red rice powder, 5-25 parts of natto kinase, 5-20 parts of chitosan oligosaccharide, 5-20 parts of fish collagen peptide, 0.5-5 parts of selenoamino acid and 2-15 parts of remaining active substances. The composition has a strong synergistic effect, constructs an "antioxidation-thrombolysis-lipid-lowering-blood vessel repair" closed loop mechanism, comprehensively covers related pathological links of cardiovascular and cerebrovascular diseases and solves the limitation of single target point intervention.

The application discloses an ultrasonic vein image recognition blood vessel reconstruction enabled venipuncture device and method, belongs to the technical field of ultrasonic vein puncture, and comprises 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 forward and backward, an up-down moving adjusting device for moving the front-back adjusting and moving device upward and downward, a left-right moving adjusting device for moving the up-down moving adjusting device leftward and rightward, a positioner for accurately positioning puncture for medical staff, and an auxiliary protection positioning device for protecting the ultrasonic vein image recognition device, wherein the medical staff can directly perform puncture operation in combination with the astigmatism center mark and the blood vessel depth parameter displayed on the display screen, subjective experience judgment is not needed, the operation difficulty is effectively reduced, and accurate puncture can be realized for patients with different body surface conditions.

The application discloses a human-computer interaction control method and device, electronic equipment and storage medium, which are applied to an electromagnetic navigation angiography system. Specifically, after the electromagnetic navigation angiography system is initialized, a control interface is displayed, and the graphic and text data of a patient is loaded and displayed. Three-dimensional blood vessel model reconstruction is realized based on a blood vessel reconstruction request. The current position and motion track of a guide wire are displayed based on a guide wire display request. Finally, a current control instruction is output to a programmable power supply based on a control instruction input by a user through a joystick, so that the electromagnetic navigation hardware generates a spatial magnetic field to drive the guide wire to move under the drive of the programmable power supply. The application realizes preoperative data management, intraoperative real-time blood vessel three-dimensional reconstruction, AI guide wire accurate tracking, joystick driving navigation and image fusion display through a unified control interface. Compared with the prior art, the application can avoid the disconnection between surgical operation and data checking, thereby improving the surgical efficiency and operation precision.

A method of performing 3D vascular tree reconstruction includes providing a segmented binary angiography image, applying a distance transformation to the image, and generating a distance transformed binary angiography image. The set of distance-transformed binary angiography images is provided to a trained 3D vascular reconstruction machine learning model capable of reconstructing 3D vessels. The 3D vascular tree reconstruction machine learning model includes a multi-level convolutional neural network including a multi-level architecture having (i) a vascular centerline level and (ii) a radius reconstruction level. The resulting 3D reconstructed vessel tree may be used to perform clinical assessments of coronary artery vessel health and occlusion.