258 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.

A photoacoustic catheter adapted for placement within a blood vessel having a vessel wall includes an elongate shaft, a balloon and a photoacoustic transducer. The elongate shaft can extend from a proximal region to a distal region. The elongate shaft can include a light guide that is configured to be placed in optical communication with a light source. The balloon is coupled to the elongate shaft, and can be configured to expand from a collapsed configuration suitable for advancing the photoacoustic catheter through a patient's vasculature to a first expanded configuration suitable for anchoring the photoacoustic catheter in position relative to a treatment site. The photoacoustic transducer can be disposed on a surface of the balloon and in optical communication with the light guide. The photoacoustic transducer can include a light-absorbing material and a thermal expansion material.

The invention discloses an image generation method based on a generative adversarial network, and the method comprises the following steps: 1, collecting data; the method comprises the steps that CT, MRI, ultrasound and other medical image data are collected and cover different disease types and stages, then professional doctors mark the data (such as focus positions and disease types), normalization, cutting and enhancement are carried out, and therefore a marked high-quality medical image data set is obtained; 2, model design: designing a generator and a discriminator; 3, defining a loss function to resist loss; step 4, adversarial training; and 5, generating an image. The defects in the prior art are overcome, and high-quality and diversified synthetic medical images can be generated based on the generative adversarial network technology; the image generated by the GAN can accurately simulate the texture features of a real medical image, such as the roughness of a tumor surface, the microstructure of a blood vessel wall and the like, so that a more real visual reference is provided for doctors.

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 reducing vessel recoil, reducing residual stenosis, and increasing volumetric blood flow post angioplasty. The design, methods of use, intended outcomes, and process to build this type of balloon is described herein.

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.

Systems and methods can involve manufacturing medical balloons with wedge dissectors for forming serrations within vascular wall tissue for angioplasty, wherein the systems and methods include improved methods of forming the wedge dissectors and attaching the wedge dissectors to the medical balloon as well as a central shaft to increase the cross ability of the catheter to cross lesions. The design, methods of use, intended outcomes, and process to build this type of balloon is described herein.

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 relates to the technical field of model reconstruction, in particular to a method for reconstructing a coronary artery model based on coronary artery angiography. The method comprises the following steps: acquiring a coronary artery scanning image of a patient; performing three-dimensional coronary artery space structure construction on the coronary artery image of the patient to generate a three-dimensional coronary artery space model; performing blood vessel diameter analysis on the three-dimensional coronary artery space model to generate coronary artery blood vessel diameter data; acquiring an X-ray angiography image of a patient; performing coronary artery vein structure construction on the X-ray angiography image of the patient to generate a three-dimensional coronary artery vein model; and performing blood vessel wall thickness analysis on the three-dimensional coronary artery vein model to generate coronary artery blood vessel wall thickness data. According to the method, multi-modal modeling is carried out by combining the coronary artery scanning image and the X-ray angiography image of the patient, anomaly analysis is carried out on the coronary artery, and the accuracy and reliability of coronary artery model reconstruction are improved.

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.

Devices, systems and methods for filtering embolic particles that may be generated from a medical procedure including protection of the major branching vessels from the aorta, and catches and filters emboli that may be generated during the TAVR procedure. The filter devices disclosed herein form an improved seal against the vessel wall that is activated by flowing blood. Devices described herein also allow for the closing of the ends of the filter device after capture of emboli, providing further security against accidental loss of emboli post capture.

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.

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 mechanical abrasion elements adapted to engage with a vessel wall, such as along a treatment zone.

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.

Disclosed are embodiments of an aspiration catheter comprising a centering assembly for preventing vessel tissue from being drawn into the aspiration lumen and / or into close proximity to an injection of pressurized fluid from a supply lumen during aspiration of a thrombus. The centering assembly may include one or more balloons mounted adjacent to the distal end of the aspiration catheter and which can be selectively inflated to center the distal end of the aspiration catheter within vessel lumen and space the distal end apart from the 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.

Methods and apparatuses for electrical monitoring, including electrical impedance monitoring, using electrodes positioned on a catheter to help identify the type of material in contact with the catheter. In particular, described herein are methods and apparatuses for using impedance data streams to identify a material that may be encountered when performing a vascular procedure including: clot material, blood, saline, air, and / or vessel wall, by analyzing and classifying impedance conditions. Also described herein are methods of electrically and / or mechanically probing the local area around the catheter (e.g., the tip of an aspiration catheter) to help characterize the conditions and surrounding materials.

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.

The present invention discloses a method for evaluating the quality of intracranial magnetic resonance vascular wall imaging, comprising a subjective quality evaluation scale and an objective quality evaluation. The subjective quality evaluation scale assesses three aspects: the vascular wall, blood flow suppression, and motion artifacts. The objective quality evaluation is achieved by calculating three indicators: signal-to-noise ratio, contrast, and contrast-to-noise ratio. To comprehensively evaluate the quality of intracranial magnetic resonance vascular wall imaging, the method divides cerebral vascular regions, locates different segments of the vascular region, and comprehensively evaluates the imaging quality through subjective evaluation and calculation of objective quality indicators.

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.

Disclosed herein are methods of reducing or preventing the complications associated with the percutaneous placement of central venous catheters within a patient, including methods of reducing or preventing central venous stenosis. These methods can involve coating at least a portion of the exterior of the central venous catheter with a coating that reduces friction between the exterior surface of the catheter body and an endothelial wall of the vein. Upon placement the catheter within the vein of the patient, the coating can reduce friction between the catheter body and the walls of the blood vessel, thereby reducing irritation and / or injury of the blood vessel.