20 results about "Vascular body" patented technology

The invention discloses a three-dimensional reconstruction model training method and a blood vessel three-dimensional reconstruction method and device. The training method of the three-dimensional reconstruction model comprises the following steps: acquiring a plurality of two-dimensional blood vessel body drawing training images, wherein the plurality of two-dimensional blood vessel body drawing training images are acquired from different acquisition angles; inputting a plurality of two-dimensional blood vessel volume rendering training images into the neural network model to obtain a three-dimensional blood vessel voxel model; reducing the three-dimensional blood vessel voxel model into a plurality of two-dimensional rendering images based on projection matrixes corresponding to the obtained two-dimensional blood vessel body drawing training images through a differentiable rendering method; calculating a loss value based on the plurality of two-dimensional blood vessel body drawing training images and the plurality of two-dimensional rendering images, adjusting model parameters of the neural network model based on the loss value, and obtaining a three-dimensional reconstruction model when the loss value meets a set condition, the trained three-dimensional reconstruction model can simply and efficiently generate a three-dimensional model of a blood vessel based on a blood vessel image with a limited angle.

The invention relates to the technical field of medical care, in particular to a cardiovascular disease risk dynamic early warning system based on multi-source data fusion, and the system comprises the steps: obtaining ejection fraction, coronary artery stenosis percentage and calcification integral data of cardiovascular examination of a monitored object, and heart rate data and pulse pressure difference data of periodic signs; determining a physical examination abnormal coefficient according to the difference between the ejection fraction and the standard value and the difference between the calcification integral data and the standard value and the coronary artery stenosis percentage; according to the height and slope difference of the ST wave band and the PR wave band, the heart rate analysis abnormal index is determined by combining the time interval of the adjacent electric activity wave bands; according to the time sequence change correlation of the heart rate data and the pulse pressure difference data, a physical sign abnormal coefficient is determined; determining a dynamic risk score in combination with the physical examination abnormal coefficient and the physical sign abnormal coefficient; and carrying out risk early warning based on the dynamic risk score. According to the invention, fusion analysis of multi-source and multi-dimensional data can be realized, and the dynamic early warning precision of cardiovascular risks is improved.

An ultrasonic diagnostic imaging system measures volume flow. An ultrasound probe operating in biplane mode is used to acquire a blood vessel in a long axis view in a first Doppler image and simultaneously in a transverse view in a second Doppler image. Volume flow is calculated from the transverse view of the blood vessel. The plane of the second image is aligned with the Doppler angle of the first image so that angle correction determined for the first image can be used for angle correction in the volume flow calculation.

The application provides a chest plain CT image lung artery and vein automatic extraction method, and relates to the technical field of CT image processing. The method first acquires lung airway, lung blood vessel and lung external artery and vein data, and performs data preprocessing and unifies layer thickness; then, based on the reconstructed CT scan image, lung blood vessel skeletonization is performed; and a lung internal artery and vein growth algorithm is used to classify the lung blood vessel skeleton; then, the lung artery and vein are reconstructed according to the artery and vein marked by the lung blood vessel skeleton; finally, the classified lung blood vessel is evaluated according to the blood vessel skeleton of the marked lung internal artery and vein and the blood vessel voxel point after the lung internal artery and vein reconstruction. The method uses multiple features to classify the lung internal artery and vein, does not require the imaging mode of the input data, is an automatic algorithm, does not require manual parameter adjustment or seed point setting, has strong generalization ability, and proposes two new evaluation methods, so that the classification effect of the lung artery and vein is checked and evaluated from multiple angles.

The application belongs to the field of intelligent medical treatment, and particularly relates to a method for constructing a refractory mycoplasma pneumoniae pneumonia prediction model and equipment. The method comprises the following steps: acquiring a baseline time data set and a follow-up time label of a mycoplasma pneumoniae patient; inputting the image data set into a lung blood vessel segmentation model to obtain a lung blood vessel network, obtaining a total lung blood vessel volume based on the lung blood vessel network, and obtaining a blood vessel volume of different cross-sectional areas based on a cross-sectional area of the lung blood vessel network; inputting a ratio of the blood vessel volume of different cross-sectional areas to the total lung blood vessel volume into a machine learning model to obtain a prediction label, and obtaining a refractory mycoplasma pneumoniae pneumonia prediction model after iterative optimization of the machine learning model based on a difference between the prediction label and the follow-up time label. The application segments a lung CT image to obtain a blood vessel network diagram, quantitatively obtains a percentage of a blood vessel volume of different thicknesses in a total lung blood vessel volume, and constructs a refractory mycoplasma pneumoniae pneumonia prediction model based on an innovative feature extraction method.

The invention relates to medical device (1) to be inserted in a defect blood vessel, body cavity, or body duct for treatment or pretreatment thereof. The medical device (1) comprises a hollow shaft (2) having the ability to slidably house an injection means (3), the hollow shaft (2) having a distal end (4) and a proximal end (5), and an elongated holding device (6) connected to the hollow shaft (2), the elongated holding device (6) having a distal end (7) and a proximal end (8). The invention also relates to a kit for the treatment, preferably ablation treatment, of defective blood vessels, body cavities, or body ducts.

The invention discloses a lipid T-LCBI quantification method and system based on multi-modal space fusion, and the method comprises the steps: obtaining multi-modal blood vessel imaging data for registration, and achieving image distortion correction through cross-correlation correction; quantizing the boundary of the lipid plaque based on the fusion data, and obtaining quantized lipid plaque volume data based on continuous multi-frame fusion data; constructing blood vessel body data based on continuous multi-frame fusion data, fusing the blood vessel body data with coronary angiography data, and calculating a lipid plaque space correction coefficient of the curved blood vessel segment based on blood vessel space trend information; calculating a lipid volume based on the quantized lipid plaque data and a spatial correction coefficient; and calculating the T-LCBI index according to the ratio of the lipid volume to the total volume. Through registration fusion and distortion correction of multi-modal imaging data, a lipid boundary quantification bottleneck is broken through, blood vessel body data and coronary angiography data are fused, complete space trend information is constructed, and the calculation accuracy of an LCBI index is improved.

The application discloses a method for motion interaction of liver parenchyma and intrahepatic blood vessels and blood in a virtual surgery scene, mainly comprising: generation of a visual liver body model and an intrahepatic blood vessel body model; generation of a liver parenchyma body model; generation of a dense mesh of the intrahepatic blood vessel body model by means of a gmsh software, and generation of an intra-blood vessel blood model composed of a blood flow particle set; establishment of a liver parenchyma motion model based on PBD, and motion trends of the liver parenchyma and the intrahepatic blood vessels under the action of an external force, which are used to represent the motion of the liver parenchyma under the action of the external force, and the motion of the blood vessels and the blood particles caused by the deformation of the liver parenchyma, and simultaneously contain the flow of the blood particles under the condition of cutting; and realization of the motion constraints between the intrahepatic blood vessels and the liver parenchyma, and the motion constraint conditions of the blood flow in the blood vessels under the action of the external force in the virtual surgery scene. The method fully considers the motion characteristics of the liver and the blood vessels under the action of the force.

Various embodiments disclosed relate to drug-coated balloon catheters for treating, preventing, or reducing the recurrence of a stricture and / or cancer, or for treating benign prostatic hyperplasia (BPH), in a non-vascular body lumen and methods of using the same. A drug-coated balloon catheter for delivering a therapeutic agent to a target site of a body lumen stricture includes an elongated balloon having a main diameter. The balloon catheter includes a coating layer overlying an exterior surface of the balloon. The coating layer includes one or more water-soluble additives and an initial drug load of a therapeutic agent. In some embodiments, the balloon catheter includes a length-control mechanism which stretches and elongates the balloon when it is in a deflated state, giving the balloon a smaller cross-sectional deflated profile for tracking through the body lumen and for removal after treatment.

A radial displacement pulse wave measuring device and application methods thereof are provided. The radial displacement pulse wave measuring device includes an airbag, a pressure control module, a displacement sensing module, and a computing unit. The pressure sensor of the pressure control module is configured to measure a vascular volumetric pulse wave of an artery, while the displacement sensing module is configured to measure a vascular radial displacement pulse wave by detecting dynamic distance variations between the displacement sensing module and a measure site covering the artery. The computing unit controls pressure adjustment of the airbag via the pressure control module and scanning via the displacement sensing module to optimize measurement conditions for accurately recording the vascular radial displacement pulse wave.

The invention relates to the technical field of medicine, in particular to a multifunctional cuttlebone microneedle patch and a preparation method thereof. The multifunctional cuttlebone microneedle patch provided by the invention is composed of a needle body layer and a backing layer. The needle body layer is loaded with cuttlebone decalcified powder and silver nanoparticles; and the backing layer is made of chitosan hydrogel. The multifunctional cuttlebone microneedle patch provided by the invention has good biological activity, can continuously release silver ions (Ag < + >) and active ingredients, can remarkably inhibit related bacteria in vitro, prolong antibacterial aging and promote cell proliferation, migration and vascularization, and in-vivo results show that the patch can accelerate wound healing, promote collagen deposition and blood vessel maturation and relieve inflammation.

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 invention relates to the technical field of acupoint positioning and computer image processing, and discloses an auxiliary acupoint positioning method based on image fusion, which comprises the following steps: receiving an acupoint selection instruction input by a user, and confirming a target acupoint; acquiring a target area subcutaneous blood vessel distribution image and a body surface image of the target acupuncture point; fusing the subcutaneous blood vessel distribution image and the body surface image to obtain a blood vessel-body surface fusion model of the target area; based on the blood vessel-body surface fusion model and a blood vessel distribution-acupuncture point model, calculating a target acupuncture point prediction coordinate; and converting the calculated target acupuncture point prediction coordinate into a laser projection instruction, controlling a laser emitter to project a positioning light spot to the body surface, and outputting acupuncture point information.

An angiographic examination procedure for generating at least one 2-D projection image of a vascular system (20, 23) in a body region of interest of a patient (6) with an angiography system (1 to 4) characterized by the following steps: S1 Acquisition of a volume dataset of the body region of interest including the vascular system (23), S2 Reconstruction of a 3-D volume (22) from the volume dataset with the vascular system (23), S3 forward projection (24) to generate a virtual projection (25) with the vessels (20), S4 Derivation of a binary vascular mask (26) from the virtual projection (25), S5 Acquisition of at least one recent 2-D image (27), S6 Combination of the binary vascular mask (25) with at least one current 2D image (27) to form a current mask (28), S7 Threshold calculation (29) of the current mask (28) to form a current binary mask (30), S8 Backprojection (31) of the current binary mask (30) into the 3-D volume (22) to form a mask volume (32), S9 Threshold segmentation (33) of the mask volume (32) to create a final virtual vessel volume (34) and S10 Subtraction of a projection of the vessel volume (34) from the current 2-D images (27) to generate a selective non-overlapping representation of the body region of interest with selectable parameters.

The method for acquiring three-compartment data includes: acquiring multiple sets of training data, wherein each set of training data includes three-compartment data and electrical data of a collection area of ​​biological tissue acquired within the same sampling period. The three-compartment data includes the extracellular space volume fraction, cell volume fraction, and blood vessel volume fraction of each voxel point in the collection area, and the electrical data is related to the electrical impedance of the biological tissue; training a computational model using multiple sets of training data, enabling the computational model to achieve the mapping between electrical data and three-compartment data; acquiring the electrical data of a target area of ​​the biological tissue, the target area being the same size and shape as the collection area; and inputting the acquired electrical data of the target area into the trained computational model to obtain the three-compartment data of the target area. This acquisition method can directly obtain three-compartment data from electrical data, reducing the complexity of three-compartment data acquisition. This invention also provides a probe and a system for acquiring three-compartment data.

The present disclosure relates to a device configured to move within a body cavity, such as the gastrointestinal tract, in particular, the small intestine, and methods of using the device. The presently disclosed device may be self-driving, e.g., through the use of one or more traction-motion element, and the articulation of a tip of the device may be controlled and fine-tuned. The presently disclosed device may be used in a variety of body cavities such as a vascular body lumen, a digestive body lumen, a respiratory body lumen, or a urinary body lumen, for example, for endoscopic purposes, for delivering a substance into the body cavity, for removing a substance or tissue from the body cavity, for capturing an image of the body cavity, and / or for performing an operation of a tissue or organ using the device.

An apparatus for delivering a drug to a vascular body lumen includes a pre-crimped stent configured to be disposed within a vascular body lumen and a coating. The stent is mounted on a balloon and includes a mesh-like configuration having multiple interconnected space regions defined by multiple strut components. Each of the strut components include an abluminal surface, a luminal surface, and a side surface. The balloon includes multiple portions exposed through the interconnected space regions. The coating bridges across the interconnected space regions of the stent and is configured to deform and extend in response to expansion of the balloon to form a continuous, homogenous cylindrical film. Expansion of the balloon within the vascular body lumen causes the homogenous cylindrical film to cover a continuous, circumferential area of the vascular body lumen.

The application belongs to the technical field of data processing, and discloses a blood flow reserve fraction calculation method, device, equipment and storage medium. The method comprises the following steps: obtaining the blood vessel diameter of multiple nodes on the center line of a blood vessel and the blood vessel volume of the blood vessel according to a three-dimensional blood vessel model of the blood vessel; calculating the reference diameter of each node on the center line to determine the reference diameter of each node; determining a target narrow section in the blood vessel and a target narrow rate corresponding to the target narrow section according to the blood vessel diameter of each node and the reference diameter of each node; determining the volume flow of the blood vessel according to the target narrow rate corresponding to the target narrow section and the blood vessel volume, and determining the blood flow reserve fraction of the blood vessel based on the volume flow. In the foregoing manner, the volume flow is corrected, the accuracy of the determination of the volume flow is improved, and the accuracy of the calculation of the blood flow reserve fraction is effectively improved.

The utility model relates to a blood vessel in-vitro simulation device and an ECMO in-vitro simulation system. The blood vessel in-vitro simulation device comprises a heart module used for simulating heart blood supply; the first resistance module is connected with the heart module, and the first resistance module is used for simulating the resistance and compliance of the aorta; the artery module is connected with the first resistance module, the artery module is used for simulating an artery blood vessel, and the artery module is made of a transparent material; the second resistance module is connected with the artery module, and the second resistance module is used for simulating resistance and compliance of peripheral blood vessels; a liquid storage tank and a puncture module; the detection module is used for detecting and adjusting the pressure and flow of the liquid entering and flowing out of the artery module; and the controller is respectively connected with the heart module and the detection module. The artery module of the blood vessel in-vitro simulation device is made of the transparent material, so that trainees can clearly know the blood vessel structure in the artery module, and the catheter indwelling difficulty during ECMO equipment training is reduced.