196 results about "Vascular wall" patented technology

Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.

A method is provided for optimizing workflow for a vascular intervention based on a three-dimensional dataset of a vessel, particularly a coronary artery, acquired from a 3D imaging modality, which involves:determining vessel centerline;performing segmentation in the dataset to identify the vessel lumen;performing plaque segmentation in the dataset to identifying the plaque in the vessel wall;defining a parameter related to the plaque severity in the vessel wall; andcreating a two-dimensional image spanning the length of the segmented vessel to illustrate both the plaque severity parameter and its spatial distribution in relation to the vessel wall circumference using the position of points along the centerline in the segmented vessel as primary axis.Other aspects are described and claimed.

Systems and methods can involve wedge dissectors attached to strips in turn attached to medical balloons, for forming serrations within vascular wall tissue for angioplasty as well as drug delivery.

Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.

The invention discloses a PICC (Peripherally Inserted Central Catheter) tip precise navigation fixing method and system based on electrocardiogram real-time positioning. High-precision positioning and safe fixing of a catheter tip are realized through a multi-modal data fusion and deep learning technology. The method comprises the following steps: collecting intracavity electrocardiosignals (ECG) in real time through a catheter built-in electrode, and obtaining blood vessel wall contact pressure and temperature data in combination with an optical fiber sensor; an improved wavelet threshold algorithm is adopted to dynamically suppress motion artifacts, and P-wave features are enhanced; the preprocessed ECG signals are input into a spatial-temporal feature fused Transformer model, a time attention layer is used for analyzing P-wave time sequence changes, a space attention layer integrates multi-lead space distribution features, and the positioning precision is optimized in combination with preoperative blood vessel anatomical data; the ECG positioning result and the optical fiber sensing data are fused through Kalman filtering, three-dimensional position information of the tip end of the catheter is generated, and real-time navigation is conducted on an augmented reality interface; and when the P wave amplitude reaches a CAJ threshold value, the contact pressure is safe and no abnormal temperature exists, a shape memory alloy (SMA) fixing ring is triggered to contract, and accurate fixing is achieved. The method solves the problems that a traditional method depends on X rays and is poor in anti-interference performance, has the advantages of being free of radiation, high in real-time performance and adaptive to blood vessel deformation, and is suitable for clinical P catheter implantation.

The invention discloses an artery plaque detection and evaluation method and device, and relates to the technical field of image recognition. The method comprises the following steps: acquiring a to-be-used image group, wherein the to-be-used image group comprises at least one modal magnetic resonance image; performing blood vessel wall segmentation operation on the to-be-used image group to obtain a binary blood vessel skeleton image; inputting the to-be-used image group and the binarized vascular skeleton image into a trained plaque segmentation model to obtain a binarized plaque mask combination; inputting the binarized plaque mask combination and the to-be-used image group into a trained plaque component recognition model to obtain a multi-label segmentation result image; and performing plaque vulnerability judgment according to the multi-label segmentation result image so as to obtain plaque vulnerability judgment information. According to the method, the problems of high subjectivity, poor generalization ability, sensitivity to image quality and the like caused by dependence on artificial feature extraction and threshold segmentation in a traditional method are solved.

The invention provides a double-frequency array type annular transducer for intravascular ultrasonic imaging, and relates to the technical field of medical ultrasonic imaging. The double-frequency array type annular transducer for intravascular ultrasonic imaging comprises a catheter and a flexible circuit board arranged on the outer wall of the catheter in a surrounding mode in the circumferential direction of the catheter, and a backing layer, a piezoelectric layer and a conducting layer are sequentially arranged on the flexible circuit board in the radial direction of the catheter; the piezoelectric layer comprises a plurality of high-frequency transduction units and a plurality of low-frequency transduction units, and the high-frequency transduction units and the low-frequency transduction units are arranged at intervals in the circumferential direction of the conduit; and a filling piece is arranged between the adjacent high-frequency transduction unit and low-frequency transduction unit. According to the invention, a surface layer high-resolution image can be obtained to accurately identify vulnerable lesions such as TCFA and the like, and high-quality imaging can be carried out on a deep blood vessel wall and an outer membrane structure.

The present invention discloses a deep learning-based method for automatic segmentation of intravascular lipid plaques. The method utilizes an improved U-Net++ network architecture to achieve high-precision segmentation of the inner and outer membranes of blood vessels. Based on this, a K-means clustering algorithm based on grayscale values, edge features, and texture features is then employed. By incorporating a memory mechanism, stability and consistency are ensured during the clustering process, enabling accurate classification of plaque types. By using an improved U-Net++ network for inner and outer membrane segmentation in ultrasound and photoacoustic images, the present invention can accurately distinguish between different structures of the vascular wall, thereby achieving accurate identification, high-precision segmentation, and classification of lipid plaques. The K-means clustering algorithm, optimized based on feature selection and a memory mechanism, achieves relatively accurate and stable classification results in virtual histology, providing a reliable foundation for further lesion analysis and clinical application.

The invention discloses a brain high-resolution vascular wall image reconstruction system based on deep learning. The system comprises an image acquisition module, a frequency band decomposition module, a core structure recombination module, a frequency band detail enhancement module, a frequency band synthesis optimization module and a cerebrovascular wall image reconstruction module. The invention belongs to the field of image processing, and particularly relates to a brain high-resolution blood vessel wall image reconstruction system based on deep learning. According to the scheme, the reliability of subsequent cerebral vessel wall image reconstruction is improved through filtering processing of anatomical feature constraint, design of a grayscale adaptive basis function and dynamic adjustment of an effective interval based on an image grayscale histogram; gradient direction consistency constraint is introduced for core point discrimination, and non-core background interference of the blood vessel wall image is eliminated; on the basis of gray-scale adaptive second derivative weighting, detail enhancement and noise directional suppression of the blood vessel wall image are realized; and carrying out interpolation completion on the missing fine structure elements, and introducing a guide factor to adjust the weight, thereby improving the reconstruction stability of the cerebrovascular wall image.

Disclosed herein are systems and methods for locating and identifying nerves innervating the wall of arteries such as the renal artery. The present invention identifies areas on vessel walls that are innervated with nerves; provides indication on whether energy is delivered accurately to a targeted nerve; and provides immediate post-procedural assessment of the effect of energy delivered to the nerve. The methods includes evaluating a change in physiological parameters after energy is delivered to an arterial wall; and determining the type of nerve that the energy was directed to (sympathetic or parasympathetic or none) based on the evaluated results. The system includes at least a device for delivering energy to the wall of blood vessel; sensors for detecting physiological signals from a subject; and indicators to display results obtained using said method. Also provided are catheters for performing the mapping and ablating functions.

The invention discloses a coronary plaque biomechanical property calculation method, and belongs to the field of computational biofluid mechanics in biomedical engineering. According to the method, the influence of cardiac pulsation, coronary blood vessel complex geometric distribution characteristics and coronary plaque composition factors is integrally considered, and the coronary plaque biomechanical characteristics are calculated; wherein the number of the fluid computational domains is two, and the two fluid computational domains are respectively a coronary vessel intracavity blood flow area and a plaque tissue fluid flow area surrounded by a fibrous membrane and a blood vessel; the two structural computational domains are respectively an elastic blood vessel wall and an ultrathin flexible plaque fiber membrane; the plaque fiber membrane generates deformation movement under the pressure of blood in blood vessels on two sides and tissue fluid in the plaque; the motion of the coronary plaque fibrous membrane is described by adopting an independently researched and developed immersion film method, and compared with a traditional coronary plaque biomechanical characteristic calculation method, the method has better information integrity, better accuracy and wider applicability.

The invention discloses a method for calculating image force feedback by physically modeling a guide wire based on a discrete elastic rod, which comprises the following steps of: modeling the guide wire into a non-telescopic deformable linear object, representing the center line of the guide wire by adopting an arc length parameterized three-dimensional curve, and describing bending and torsion characteristics by combining an orthogonal material frame; a curvature vector and a torsion angle are calculated through a discretized particle model to simulate the internal state of the guide wire, and the motion of the guide wire is predicted based on a semi-implicit integration method through a Lagrange motion equation; then, coarse detection is carried out in combination with the preprocessed mask image of the blood vessel wall, whether the guide wire makes contact with the blood vessel wall or not is judged, and due to the existence of a preprocessing structure, the detection is faster than a common bounding box which is divided through a tree structure; then, whether the tip of the guide wire penetrates through the blood vessel wall or not is judged through the blood vessel center line and kd-tree, a force feedback calculation model is constructed by combining a spring damping system according to deformation caused to the blood vessel wall, and corresponding feedback force after collision is calculated.

Disclosed herein are methods and devices for transvascular placement of electrodes on a surface of a brain or in deep brain structures for the purpose of neuromodulation. The device can comprise a delivery catheter comprising a lumen. The device can comprise a piercing assembly extending through the delivery catheter, wherein the piercing assembly comprises a piercing assembly catheter and a needle. The device can comprise one or more electrodes configured to contact the brain tissue; and wherein the piercing assembly catheter comprises an opening in a wall thereof such that when the delivery catheter and the piercing assembly catheter are positioned within a vessel, the needle extends through the opening to puncture a vessel wall.

An implantable medical device for closure of a tissue tract / opening in a vessel wall includes a constraint disposed around and constraining the implantable medical device in a constrained configuration and one or more deployment lines attached to the constraint. A flexible hollow body is coupled proximate a midpoint of the implantable medical device. The implantable medical device and flexible hollow body are operable to transition (pivot) from a parallel, side-by-side arrangement to be substantially angled relative to one another. Retracting the one or more deployment lines causes the constraint to release the implantable medical device to transition from the constrained configuration to an expanded configuration.

The invention discloses an application of 4-octyl itaconic acid (4-OI) in preparation of a medicine for improving pulmonary arterial hypertension (PAH). In-vivo experiments show that 4-OI can significantly reduce pulmonary vascular wall thickening and collagen deposition of a PAH rat model, and effectively improve PAH and vascular remodeling. In-vitro experiments further reveal that 4-OI reduces endoplasmic reticulum stress (ERS) by inhibiting a PERK-eIF2alpha pathway, further blocks SM22 dependent smooth muscle cell phenotypic transformation and endothelial-mesenchymal transformation (EndMT) processes, finally inhibits vascular remodeling, and plays a role in treating PAH. The three key pathological processes of ERS, EndMT and vascular remodeling are closely linked, a new perspective is provided for deeply understanding the correlation among oxidative stress, endothelial dysfunction and vascular structure change in PAH, meanwhile, a theoretical foundation is laid for developing PAH and vascular remodeling accurate treatment drugs, and clinical transformation value is achieved.

Methods and apparatuses for monitoring, including optically monitoring an aspiration catheter to identify material in proximity with or within the catheter. In particular, described herein are methods and apparatuses that may be used to identify clot material, and to distinguish clot material from blood and / or vessel wall. Also described herein are methods and apparatuses for using ultrasound to monitor an aspiration catheter.

Methods, systems, devices, components, and apparatuses for renal denervation. The treatment component includes a first sensor configured to detect a first temperature or a first impedance. The treatment component includes a first energy delivery element configured to deliver energy to the vessel wall. The treatment component includes a processor. The processor is configured to determine a heart rate based on the first temperature or the first impedance. The processor is configured to determine that the heart rate is less than a threshold heart rate indicating a slowing of the heart rate. The processor is configured to control the first energy delivery element to regulate the delivery of energy to the vessel wall.

The invention discloses a vascular calcification dynamic monitoring method based on signal pattern recognition, and relates to the technical field of vascular mechanics signal analysis, and the method comprises the steps: obtaining acoustic original data of a target vascular region in a cardiac cycle, completing time synchronization and noise suppression based on a cardiac cycle starting point, and obtaining an acoustic data segment; constructing a displacement sequence changing along with time in the radial depth direction, and extracting amplitude, phase and deformation tracks to form a motion parameter set; arranging the motion parameters according to depths to construct a cardiac cycle response fingerprint matrix, and determining boundary positions of an intima, a middle membrane and an adventitia of a blood vessel wall according to motion mode differences of different depths; local offset features are collected and recognized based on multiple moments, the depth position of calcification in the blood vessel wall is determined, and dynamic monitoring of calcification along with time is achieved. According to the method, continuous presentation of the hierarchical structure of the blood vessel wall and fine expression of mechanical response of multiple layers of tissues are realized, and abnormal changes related to calcification can be sensitively recognized.

The invention discloses a coronary artery hemodynamic information prediction method, device and equipment, a medium and a product, and relates to the field of biomechanics, and the method comprises the steps: obtaining clinical data, and segmenting the clinical data to obtain a coronary artery three-dimensional model and a heart three-dimensional model; constructing a human body blood circulation system lumped parameter model; determining a personalized human body blood circulation system lumped parameter model of the patient after assignment; constructing a 0-3-dimensional myocardial mechanical coupling model; constructing a first database; obtaining personalized systolic function parameters and diastolic function parameters of the patient based on the first mapping network; constructing a blood vessel 0-3-dimensional coupling model; constructing a second database; obtaining personalized coronary flow field information of the patient based on a second mapping network; the personalized coronary flow field information comprises a pressure field, a velocity field and concentration polarization characteristics of low-density lipoprotein on a blood vessel wall surface. Through network architecture innovation, the bottleneck of the model in the aspects of efficiency and personalization is solved, and the diagnosis precision of the coronary heart disease is improved.

Balloon based therapy devices for treatment of diseased vessels with particular applicability to veins are described. The devices are adapted for active aspiration of a closure zone, in particular aspects to an isolated closure zone, prior to delivery of a closure agent. The devices may be used for treatment of diseased veins in the lower limbs and pelvis. The devices may also include a plurality of angular offset abrasion elements adapted to engage with a vessel wall, such as along a treatment zone.

This invention provides a bicuspid aortic valve implantable annuloplasty ring, comprising two symmetrically arranged semi-annular bodies. The two ends of the two semi-annular bodies are connected in a saddle shape by a connecting post, and the connecting post extends upward by a predetermined length, forming the highest point of the annuloplasty ring. At the connection point, the two semi-annular bodies form a first predetermined angle. The semi-annular bodies are made of flexible material, and the connecting post is made of rigid material. This invention can be conveniently implanted into the bicuspid aortic valve annuli and can be operated within the aorta, eliminating the need for dissection outside the vessel wall.

An implantable device for sealing an aperture in a tissue of a body vessel, includes: an external fixation disposed on the outside of a vessel wall; a scaffold disposed on the inside of the vessel wall and interfacing with the external fixation, at least a portion of the scaffold disposed through an aperture in the vessel wall; and a patch disposed on the inside of the vessel wall and sandwiched between the external fixation and the scaffold, the patch substantially covering the full area of the aperture, thereby sealing the aperture.

A cardiac electrode assembly. The inventive electrode assembly includes an active fixation device, such as a helical electrode configured to screw into the myocardium or a vessel wall. The invention also includes an array of two or more reversed tines. The reverse tines bear against the heart wall or vessel wall and inhibit unwanted distal motion of the electrode assembly. Various deployment devices that aid in the installation of the inventive electrode assembly are also described.

The application discloses an aortic dissection risk reverse evaluation method and system, relates to the technical field of cardiovascular disease risk evaluation, and discloses an aortic dissection risk reverse evaluation method and system, which calculates a contradiction coefficient of blood vessel stability and behavior load by integrating medical image data and daily behavior dynamic data, generates early warning information based on the difference, effectively solves the technical problems that a traditional evaluation method cannot dynamically capture mechanical changes of a blood vessel wall and identify potential risk conflicts, can dynamically monitor the contradictory relationship between the geometric stability of a blood vessel and daily behavior load in real time, generates high-risk early warning information in time, avoids the early warning loss caused by too long an examination interval in the traditional evaluation method, and improves the accuracy and timeliness of risk evaluation.

The application relates to the technical field of model reconstruction, in particular to a method for reconstructing a coronary artery model based on coronary angiography. The method comprises the following steps: acquiring a coronary artery scanning image of a patient; performing three-dimensional coronary artery spatial structure construction on the coronary artery image of the patient to generate a three-dimensional coronary artery spatial model; performing blood vessel diameter analysis on the three-dimensional coronary artery spatial model to generate coronary artery blood vessel diameter data; acquiring an X-ray angiography image of the patient; performing coronary artery blood vessel network structure construction on the X-ray angiography image of the patient to generate a three-dimensional coronary artery network model; and performing blood vessel wall thickness analysis on the three-dimensional coronary artery network model to generate coronary artery blood vessel wall thickness data. The application combines the coronary artery scanning image and the X-ray angiography image of the patient to perform multi-modal modeling, and performs abnormal analysis on the coronary artery, thereby improving the accuracy and reliability of the coronary artery model reconstruction.

A catheter system for treating a treatment site within or adjacent to a vessel wall includes a light source, a balloon, a light guide, and an optical analyzer assembly. The light source generates light energy. The balloon is positionable substantially adjacent to the vascular lesion. The balloon has a balloon wall that defines a balloon interior that receives a balloon fluid. The light guide receives light energy from the light source at a guide proximal end and guides the light energy toward a guide distal end and into the balloon interior. The optical analyzer assembly is configured to optically analyze light energy emitted from the guide proximal end of the light guide.

The invention relates to the technical field of vascular therapy, in particular to a nano-drug and a preparation method thereof.The nano-drug comprises a nano-carrier, a therapeutic drug and cross-linked protein are loaded on the nano-carrier, the cross-linked protein is at least partially loaded on the surface of the nano-carrier, and the cross-linked protein is at least one of silk fibroin, sericin and silk fibroin peptide; the therapeutic drug is at least partially loaded in the nano-carrier. On one hand, cross-linked protein on the surface of the nano-carrier is promoted to be cross-linked with protein in a blood vessel by initiating the photosensitive cross-linking agent, and the nano-carrier is anchored in the blood vessel, so that the risk that nano-drug particles are eluted from the blood vessel wall is greatly reduced; on the other hand, cross-linking of cross-linked protein on the surface of the nano-carrier can be promoted by initiating the photosensitive cross-linking agent, so that the surface of the nano-carrier is gelatinized, the slow release speed of the nano-drug anchored in the blood vessel is more lasting, and further effective drug concentration can be maintained for a long time, restenosis of the blood vessel is inhibited, and the treatment effect is improved.

This invention relates to the field of blood vessel wall thickness identification technology and provides a method for identifying and recording blood vessel wall thickness, comprising the following steps: S1, injecting a contrast agent intravenously into the patient; S2, placing the patient on a CT scanner bed; S3, starting the scanning module; S4, the image processing module receiving the scanning data transmitted by the scanning module; S5, the blood flow monitoring module receiving the scanning data; S6, the interactive representation module receiving the image model transmitted by the image processing module, analyzing and processing the image model, receiving the blood flow data packet from the blood flow monitoring module, analyzing and processing the blood flow data packet, and packaging it into a total data group. The interactive representation module includes an image representation unit that represents the image. This method solves the problem in the prior art that it is impossible to accurately compare and locate the longitudinal and transverse thickness of the blood vessel wall, and achieves the purpose of representing the longitudinal and transverse cross-sectional graphics and cross-sectional data of the blood vessel through the interactive representation module.

A catheter system for treating a vascular lesion within or adjacent to a vessel wall within a body of a patient includes a single light source that generates light energy, a first light guide and a second light guide, and a multiplexer. The first light guide and the second light guide are each configured to selectively receive light energy from the light source. The multiplexer receives the light energy from the light source in the form of a source beam and selectively directs the light energy from the light source in the form of individual guide beams to each of the first light guide and the second light guide.