109 results about "Vascular lesion" patented technology

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 a vascular access lesion recognition method and system based on target detection, and relates to the technical field of medical image processing, and the method comprises the steps: carrying out the cardiac cycle phase division according to an electrocardiogram signal, calculating a displacement vector field between adjacent frames of a blood vessel DSA image sequence, constructing a motion compensation model, and generating a stable DSA sequence; segmenting the stable DSA sequence into binary vascular mask images through a U-Net segmentation model, tracking motion displacement of contrast agent particles in continuous frames by using a particle image velocimetry algorithm, generating a blood flow velocity vector field, and calculating an eddy current intensity feature map; and carrying out channel cascading on the binarized blood vessel mask image and the vortex intensity feature map to generate a blood vessel feature tensor, and generating a lesion detection result by improving a YOLOv7 model. According to the method, the accuracy, robustness and clinical applicability of vascular disease recognition are improved, and a technical closed loop from multi-modal data processing to automatic diagnosis report generation is realized.

A catheter system (100) for treating a vascular lesion (106A) within or adjacent to a vessel wall (108A) of a blood vessel (108) within a body (107) of a patient (109) includes a catheter shaft (210); a handle assembly (228); and a source manifold (236). The handle assembly (228) is coupled to the catheter shaft (210). The handle assembly (228) includes an assembly housing (266). The handle assembly (228) is usable by a user to selectively position the catheter shaft (210) near the vascular lesion (106A). The source manifold (236) is coupled to the assembly housing (266). The source manifold (236) includes a manifold housing (282) having a catheter shaft port (264) that is configured to receive a portion of the catheter shaft (210) so that the catheter shaft (210) is coupled to the manifold housing (282).

The present invention provides an early intelligent screening and warning method and system for acute stroke based on deep learning, which relates to the field of medical imaging and artificial intelligence technology, including obtaining multi-phase angiography images of the patient's brain through a pulsed dynamic imaging scheme, extracting hemodynamic characteristics using a dual-stream feature extraction network, and constructing a vascular lesion risk distribution map in combination with a vascular structure analysis model to mark potential embolism risk areas. Further, combining tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an adaptive threshold segmentation model is used to identify the ischemic penumbra area. Finally, based on the ischemic penumbra area, tissue perfusion parameters, and brain tissue function parameters, a hierarchical decision model with a spatiotemporal attention mechanism is used to calculate the risk level and generate a corresponding clinical intervention plan. The present invention can achieve early and accurate screening and risk warning of acute stroke, and improve the efficiency of clinical intervention.

The invention relates to the technical field of cardiovascular disease diagnosis, and discloses a cardiovascular disease parameter identification method and system based on data analysis, and the method comprises the steps: collecting cardiovascular image data, physiological parameter data and clinical data of a patient, obtaining multi-source data, carrying out the noise reduction and missing value and abnormal value processing of the multi-source data, and obtaining preprocessed data; calculating a mutual information value between each feature and the cardiovascular lesion by adopting a feature selection algorithm based on mutual information to obtain a target feature; encoding the target features, inputting the encoded target features into a parameter identification model, and processing the encoded target features by the parameter identification model to obtain a cardiovascular lesion parameter identification result; according to the invention, accurate and rapid identification of cardiovascular disease parameters is realized, and the accuracy and efficiency of cardiovascular disease diagnosis are improved.

The invention discloses an eye fundus image detection method and device for diabetic retinopathy and intelligent equipment. The method comprises the steps of performing image preprocessing on an eye fundus image; differentiated enhancement processing is carried out on the standardized eye fundus images according to the pathological features; performing candidate area detection in each task image, determining a lesion unit of each task image, constructing a lesion unit set of each task image, and performing fusion processing on the lesion units in each lesion unit set; extracting feature parameters of each lesion unit in the global lesion unit set; performing category judgment on each lesion unit in the global lesion unit set through a preset judgment rule based on the feature parameters, and determining a pathological feature tag corresponding to each lesion unit; and mapping the pathological feature label to a corresponding position in the standardized fundus image, and generating a detection result distribution diagram of the diabetic retinopathy. According to the embodiment of the invention, the detection sensitivity of vascular lesions and exudative lesions can be improved.

The invention provides a target detection-based blood vessel feature analysis method and device, equipment and a medium, and the method comprises the steps: carrying out the processing of an input blood vessel image through an initialized feature extraction module, generating a pre-training model, carrying out the feature extraction of the blood vessel image through the pre-training model, and obtaining image feature data; inputting the lesion area into an analysis module, and performing image segmentation on the lesion area through the analysis module to obtain segmented image features; the segmented image features comprise image data of a calcified region and / or a non-calcified region; and respectively inputting the segmented image features into a calcified plaque analysis module and a non-calcified plaque analysis module to obtain the type of a vascular lesion area, further analyzing the density distribution of mixed plaques to determine whether the mixed plaques are in a splicing type or a uniform type, and finally generating an analysis result containing the lesion type and the stenosis degree. According to the invention, accurate positioning, segmentation and classification of vasculopathy can be realized without labeling data, and the automation level and accuracy of vasculopathy diagnosis are improved.

The application discloses a blood vessel data classification and identification method and system based on a large language model and a clustering algorithm. N blood vessel lesion literatures are searched out by using the large language model, features related to the blood vessel lesion and data thereof are extracted from each literature as a literature data, A different features are selected from the N literatures, and A1 features with low occurrence frequency are discarded. Data containing A2 features or data missing only one feature of the A2 features are screened out from the N literature data, and N1 pieces of data are obtained. The missing feature data is filled by using the literature data without missing. The weight value of each feature is calculated according to the occurrence frequency of the A2 features in the N literatures. The data of each feature of each blood vessel in M clinical patients is obtained, and M pieces of clinical data are recorded. M1 pieces of clinical data are actively labeled. The labeled clinical data and the weight value of each feature are clustered. The unmarked clinical data and the N1 pieces of literature data are input into a clustering model to obtain a clustering result of each piece of data and labeling.

The application provides a blood vessel lesion determination method and device, electronic equipment and storage medium. The determination method comprises: inputting acquired no-label images and labeled images as input images into a blood vessel lesion analysis model in a single-alternating input manner; if the input image is a no-label image, training the blood vessel lesion analysis model according to a reconstruction loss function; if the input image is a labeled image, determining whether the reconstruction loss function, a lesion type loss function and a lesion degree loss function simultaneously satisfy a target condition, and if the target condition is satisfied, obtaining a trained blood vessel lesion analysis model; and determining a lesion type result and a lesion degree result of a blood vessel image according to the trained blood vessel lesion analysis model. The technical solution provided by the application can reduce manual labeling operations, reduce the workload of doctors, and ensure the accuracy of blood vessel lesion determination.

Provided are small-fragment RNA derived from a circular RNA and the use thereof in the treatment of diabetic vascular diseases. The nucleotide sequence of the small-fragment RNA is CUAGCCGAAUGUUAAAAAAU. The provided small-fragment RNA has the effects of well protecting and maintaining the biological functions of vascular endothelial cells, has good structural stability, has a long half-life in vivo, and has the advantages of low effective concentration, high biological safety, etc. The provided small-fragment RNA has good application potentials in the field of clinical nucleic acid drug development, and provides a new idea for the treatment of chronic progressive vascular lesions caused by diabetes.

The application discloses a micro blood flow imaging method based on adaptive density filtering and a related device, and relates to the technical field of ultrasonic imaging. The method comprises the following steps: extracting a static frame in original ultrasonic data, screening a high-quality static frame through correlation analysis to eliminate motion interference; performing SVD clutter filtering, and cutting off high spatiotemporal coherence singular values to separate tissue clutter and microbubble signals; performing adaptive density filtering and subtracting a preliminary filtering result to realize noise suppression and overlapping microbubble decoupling; and enhancing microbubble motion signals through time-lag autocorrelation processing, and finally completing power Doppler imaging and ultrasonic localization microscope reconstruction. The scheme effectively solves the problem that the prior art cannot simultaneously consider PDI noise suppression and ULM microbubble decoupling, significantly improves image signal-to-noise ratio and super-resolution, avoids problems such as signal distortion, artifacts and loss of low-speed blood flow, and provides more reliable imaging support for clinical diagnosis such as blood vessel lesion detection and tumor blood flow evaluation.

The invention belongs to the technical field of diabetic foot clinical path management, and discloses a diabetic foot patient path management method and system based on lower limb vasculopathy grading. Mapping the ulcer position to the corresponding perfusion area and the artery segment to generate ulcer space characteristics; calculating a blood supply risk score of the perfusion area and generating a space risk map by combining the blood vessel image detection data and the microcirculation detection data; then collecting time sequence data including an ulcer index, an infection index, a blood supply index and a space risk map, and predicting the progress speed and the risk level of the future ulcer course; and finally, according to the blood supply risk score and the disease course prediction result, generating an individualized path management scheme through a joint triggering rule. According to the invention, precise and dynamic management of the diabetic foot ulcer is realized, the healing rate is improved, and the recurrence rate and the medical cost are reduced.

The application discloses a kind of multi-element fusion carotid vascular monitoring method, system, electronic equipment and storage medium, it is related to medical monitoring field.The method comprises: obtaining the time-domain acoustic signal of carotid artery of the individual to be measured, and the time-domain acoustic signal is carried out frequency domain transformation, and frequency-domain acoustic signal is obtained;Nonlinear flow state feature and topological form feature are extracted based on the frequency-domain acoustic signal;The nonlinear flow state feature and the topological form feature are compared with the corresponding baseline feature in the historical acoustic baseline of the individual to be measured, and feature deviation result is obtained;Risk assessment is carried out based on the feature deviation result, when the feature deviation result exceeds preset range, risk early warning is triggered.The application suppresses the interference such as power frequency, baseline drift, respiratory body movement and environmental noise mixed in time-domain waveform, thereby reducing the false positive rate of carotid vascular acoustic monitoring, and realizing early risk early warning of vascular lesion.

The invention relates to the technical field of disease analysis, and provides an acute-stage cerebral infarction detection system and method.The method comprises the steps that basic information, physical sign data and blood sample data of a brain patient are collected, and data integration is conducted to obtain integrated data; a brain scanning image is obtained, and a high-definition brain image is obtained after artifacts are removed; recognizing image semantics, performing image segmentation, evaluating a segmentation level, and obtaining a target image when a preset level is met; identifying brain lesion features by using the target image; an angiogram is collected, the brain blood vessel caliber is calculated, and the brain blood perfusion condition is analyzed; constructing a blood vessel network by using the angiogram, and analyzing a blood vessel variation degree; based on the blood vessel caliber, the blood perfusion condition and the blood vessel variation degree, analyzing the brain blood vessel lesion degree; collecting an electroencephalogram, and analyzing brain activity characteristics; and performing acute-stage cerebral infarction analysis based on the integrated data, the brain lesion features, the brain vascular lesion degree and the brain activity features. The invention aims to improve the rationality of acute cerebral infarction detection.

A catheter system for pressure wave and inertial impulse generation for intravascular lesion disruption at a treatment site includes a catheter including an elongate shaft and balloon coupled to the elongate shaft. The catheter system includes a light guide disposed along the elongate shaft and at least partially within the balloon, where the light guide is in optical communication with a light source and a balloon fluid. The catheter can include a first focusing element located at a distal portion of the light guide and in optical communication with the light source. The first focusing element can direct light from within the light guide to a first location at a first distance away from the distal portion of the light guide to initiate plasma formation in the balloon fluid away from the distal portion and to cause rapid bubble formation, thereby imparting pressure waves at the treatment site.

The invention discloses an image velocity measurement system for blood vessels, a vascular lesion risk assessment method, a blood vessel detection device-nanoparticle composition and application thereof, and relates to the field of image processing. The system comprises a targeted visual nanoparticle drug delivery unit, a double-ring scanning optical probe, a CMOS imaging device, an image acquisition and double-domain correlation processing module and a coupling mechanical parameter calculation module. According to the invention, the dual-ring scanning optical probe is combined with the external CMOS imaging device, so that efficient transceiving and transmission of the fluorescence signals of the nanoparticles are realized; and performing digital image correlation and microscopic particle image velocity measurement on the image sequence to finally obtain time synchronization data of various mechanical parameters such as vascular wall deformation, near-wall blood flow velocity, shear stress and the like, and performing vascular lesion risk assessment and early warning based on the time synchronization data.

A device for introduction into a body vessel includes a shaft (105), a balloon (115) positioned at the distal end of the shaft (105), and at least one longitudinal scoring wire (135) to score a vascular lesion attached to the distal end of the shaft (105), disposed over the balloon (115). The shaft (105) includes a support (119), such as a wire or tube having one or more spirally cut portions (119A, 119B), which improves pushability and trackability, thereby allowing for use with an external guidewire in a “short rapid exchange” (SRX) format. The balloon (115) expands when fluid is delivered to the balloon (115) through the inflation lumen. This expansion pushes the scoring wire and guidewire against the vascular lesion.

The invention discloses a medical image key structure extraction method for vascular surgery preoperative evaluation, which comprises the following steps: an image acquisition and multi-modal data acquisition stage: acquiring a multi-source medical image and clinical hemodynamic parameters, and generating a blood vessel initial segmentation map after processing; a structural feature reconstruction stage: extracting morphological features of a vascular wall and geometric features of a lumen, and generating a vascular tree three-dimensional structure map; in the pathological feature fusion stage, the vascular tree three-dimensional structure atlas and clinical hemodynamic parameters are fused, and vasculopathy risk confidence is generated; in the operation planning decision-making stage, the vasculopathy risk confidence coefficient, the vascular tree three-dimensional structure atlas and the clinical hemodynamic parameters are converted into an executable operation planning suggestion set, and the executable operation planning suggestion set is issued to an operation navigation system. According to the method, multi-modal images and hemodynamic parameters can be seamlessly integrated, accurate vascular structure extraction and lesion risk assessment are realized, and a more comprehensive and objective decision basis is provided for vascular surgical operation planning.

The invention provides a cardiovascular image processing system and method based on deep learning. The method comprises the following steps: acquiring a standardized cardiovascular image of a target patient; extracting a blood vessel edge texture feature and a lesion area texture feature of the target patient; determining a feature association relationship between each continuous image sub-block in the standardized cardiovascular image and a blood vessel edge texture feature, and determining a detail fusion feature map of the cardiovascular lesion area of the target patient according to all the feature association relationships and the lesion area texture features; determining a lesion trend characteristic spectrum of the target patient according to a historical cardiovascular image set similar to the cardiovascular image of the target patient and the cardiovascular image of the target patient; and determining a lesion labeling result of the cardiovascular image of the target patient according to the detail fusion feature map and the lesion trend feature map. According to the scheme, cross-time-sequence dynamic risk assessment can be carried out on the high-heterogeneity lesion features of the cardiovascular system of the patient based on the single-time static cardiovascular image.

1. Name of the Design Product: Intravascular Ultrasound Mainframe. 2. Use of the Design Product: Intracavitary imaging for diagnosing vascular lesions. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

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 belongs to the technical field of medicinal chemistry, and relates to a benzazepine compound or pharmaceutically acceptable salt thereof as well as a preparation method and application of the benzazepine compound, in particular to a compound with a structural general formula as shown in a formula (I). The benzoazepine compound disclosed by the invention has a remarkable curative effect on treating brain organic lesion diseases, including vascular lesion and degenerative lesion, especially vascular dementia, Alzheimer's disease and cholinergic deficiency related diseases. Formula (I).

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.

Medical device (10) for the treatment of vascular lesions, in particular aneurysms (100), comprising a compressible and expandable support structure (11) which is at least partially covered with an electrospun membrane (13), wherein - the support structure comprises several zigzag or wave-shaped wires (12), each forming a circumferential section (16) of the support structure (11), wherein at least 50%, in particular 100%, of the wires (12) have a radiopaque core material (14) and a superelastic sheath material (15), or - the support structure comprises a zigzag or wave-shaped wire (12) which is wound helically in a longitudinal direction of the support structure (11) and has a radiopaque core material (14) and a superelastic sheath material (15).

The invention relates to the technical field of biomedicine, in particular to application of CCN2 serving as a target spot to preparation of a medicine for diagnosing, preventing and / or treating anti-phospholipid syndrome. The invention provides application of CCN2 serving as a biomarker to diagnosis of APS and other related vasculopathy, application of CCN2 serving as a treatment target to preparation of drugs for preventing and / or treating anti-phospholipid syndromes and an establishment method of an APS related vasculopathy model. According to the invention, it is found for the first time that CCN2 targets in APS blood vessels play a crucial role in promoting proliferation and migration of vascular endothelial cells and vascular smooth muscle cells, a new perspective is provided for knowing cell and molecular mechanisms of vasculopathy, and it is determined that CCN2 can be used as a potential biomarker for diagnosing APS vasculopathy and evaluating disease progression of APS vasculopathy. And potential targets for clinical anti-proliferation treatment.

The present invention provides the application of the secretory protein CTSB (cathepsin B) in predicting the risk of vascular lesions in patients with diabetic foot ulcers (DFUs), belonging to the field of biomedicine technology. Through single-cell sequencing studies, the present invention found that the secretory protein CTSB is significantly enriched in vascular endothelial cells in the blood vessels of DFU patients, with high PPI connectivity and low expression; CTSB overexpression / knockout experiments found that CTSB is associated with the proliferation and tubulogenesis of vascular endothelial cells in human blood vessels; ELISA experiments also found that the level of secretory protein CTSB in serum can be used as a marker for predicting the risk of vascular lesions in DFU patients, and that the expression level of CTSB is negatively correlated with the Wanger grade of diabetic foot; the method can predict the risk of peripheral vascular lesions in DFU patients, has the advantages of simple operation and high sensitivity, can reduce false detection and missed detection, and has stable and reliable test results, making it suitable for large-scale detection.

The invention relates to the technical field of diabetic hypoglycemia, and discloses a diabetic hypoglycemia response induced vascular injury biomarker which is a combination of high-sensitivity C reactive protein, 8-isoprostaglandin F2alpha, von willebrand factor, free fatty acid and D-dimer. The invention further discloses application of the diabetic hypoglycemic response induced vascular injury biomarker in preparation of a reagent for early auxiliary diagnosis of diabetic hypoglycemic response induced vascular injury. According to the invention, a combination of high-sensitivity C-reactive protein, 8-isoprostaglandin F2alpha, von willebrand factor, free fatty acid and D-dimer is used as a vascular injury biomarker induced by diabetes mellitus hypoglycemia response; acute vascular dysfunction, cardiovascular system injury, microvascular complications and atherosclerosis can be effectively diagnosed, diabetic vasculopathy can be found at an early stage, disease progression can be predicted, and clinical treatment can be guided; the sensitivity and the specificity are high.

This application relates to the field of medical device technology, specifically to a distal protection device, including a filter and a support stent. The proximal end of the support stent has an opening, and the support stent includes a column segment. The distal end of the column segment is connected to the proximal opening of the filter. The radial dimension of the support stent is adjustable and has an expanded state and a contracted state. In the expanded state, the radial dimension of the column segment is not less than the radial dimension of the proximal opening of the filter. In this distal protection device, the support stent is connected to the proximal opening of the filter. In the expanded state, the radial dimension of the column segment is not less than the radial dimension of the proximal opening of the filter. The column segment adheres to the inner wall of the blood vessel. Compared to related technologies that rely solely on a support ring to provide radial force, the column segment can provide greater radial support force, significantly improving the adhesion performance between the filter and the inner wall of the blood vessel, reducing the risk of thrombus escape from between the proximal opening of the filter and the inner wall of the blood vessel. This makes the distal protection device suitable for the treatment of vascular lesions with severe plaque and calcification.

The application discloses a shock wave balloon catheter and belongs to the technical field of medical devices, which comprises a tube body, a balloon arranged on the outer wall of the tube body, at least one shock wave generator arranged in the balloon, and a convex device arranged on the outer surface of the balloon, wherein the convex device and the outer surface of the balloon are provided with a drug coating, at least one liquid injection cavity and a guide wire cavity are arranged in the tube body, and the liquid injection cavity is communicated with the balloon; the application integrates multi-form mechanical convex devices on the surface of the balloon, and coats anti-proliferation drugs on the surface of the convex device and the balloon, so that the trinity treatment of mechanical cutting / piercing, shock wave and drug elution is realized, the three functions of mechanical fragmentation of calcification / fibrosis lesions, shock wave deep lysis of calcified substances and local drug delivery are simultaneously achieved by the same instrument, one-time comprehensive treatment of complex vascular lesions is realized, and instrument replacement is avoided.

Apparatuses and method to deliver calibrated and / or oriented high energy shocks into a vascular lesion. These apparatuses may include a catheter having a balloon, and a plurality of acoustic emitters including insulating ring mounts within the balloon configured to convert electrical energy into oriented acoustic shock waves.