170 results about "Vascular lesion" patented technology

The invention provides an acute cerebral apoplexy early-stage intelligent screening and early warning method and system based on deep learning, and relates to the technical field of medical imaging and artificial intelligence, and the method comprises the steps: obtaining a multi-temporal angiography image of the brain of a patient through a pulse-type dynamic imaging scheme, extracting hemodynamic features through a double-flow feature extraction network, and obtaining a multi-temporal angiography image of the brain of the patient; and constructing a vasculopathy risk distribution diagram by combining a vascular structure analysis model, and marking a potential embolism risk area. Furthermore, in combination with tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an ischemic penumbra region is identified by using a self-adaptive threshold segmentation model. And finally, based on the ischemic penumbra area, the tissue perfusion parameters and the brain tissue function parameters, calculating a risk level by using a hierarchical decision model with a space-time attention mechanism, and generating a corresponding clinical intervention scheme. According to the invention, the early accurate screening and risk early warning of acute cerebral apoplexy can be realized, and the clinical intervention efficiency is improved.

Devices, systems and methods are provided for treating conditions of the heart, particularly the occurrence of arrhythmias, more particularly atrial fibrillation. Therapeutic pulsed electric field energy is delivered to portions the heart to provide tissue modification, particularly to the entrances to the pulmonary veins in the treatment of atrial fibrillation. Such tissue modification creates a lesion or series of lesions which act as a conduction block within the tissue to prevent the transmission of aberrant electrical signals. Cardiovascular lesion analysis systems and methods provide information related to the effectiveness of the treatment during the procedure so as to create an electrical blockade within the heart that will remain durable and effective long-term.

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).

A preoperative planning method and system for vascular intervention. The method comprises: acquiring a vascular lesion image of a patient (100); performing image segmentation on the vascular lesion image to obtain a plurality of two-dimensional images (200), the plurality of two-dimensional images corresponding to a plurality of different tissues or structures; generating lesion three-dimensional data on the basis of the plurality of two-dimensional images (300); generating a vascular interventional surgical plan on the basis of the lesion three-dimensional data and surgical instrument parameters (400), the vascular interventional surgical plan comprising surgical instrument models, a use order and an instrument path; making a lesion simulation model on the basis of the lesion three-dimensional data (500); and performing in-vitro practice or actual surgery on the basis of the vascular interventional surgical plan and the lesion simulation model, and learning and adjusting the vascular interventional surgical plan in real time on the basis of an in-vitro practice result or an actual surgical condition (600). Thus, a surgeon can fully know the condition of a patient's lesion before surgery, thereby improving the accuracy of a vascular interventional surgical plan, and further improving the safety of surgery.

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 provides a balloon catheter suitable for long vasculopathy, and relates to the technical field of medical instruments. The first balloon is arranged at the far end of the catheter body; the diameter of the near end of the first balloon is larger than that of the far end of the first balloon. A through inner cavity is formed in the middle of the catheter body, and a communicating channel communicating the first balloon with the inner cavity is formed in the side wall of the catheter body. By arranging the first balloon and the second balloon, the first balloon extrudes the second balloon after expanding, so that a contrast agent in the second balloon is gradually extruded out, the second balloon deforms, and the deformed second balloon is better attached to the narrow part of a blood vessel and can better adapt to the change of the inner diameter of a channel at a longer blood vessel.

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 a traditional Chinese medicine extract composition for treating diabetic complications and a preparation method thereof, and belongs to the technical field of medicines. The traditional Chinese medicine extract composition is mainly prepared from the following raw material extracts: raw radix astragali, rhizoma anemarrhenae, rhizoma atractylodis, cortex phellodendri, radix trichosanthis, fructus corni, radix puerariae and ginseng leaves. The traditional Chinese medicine composition is used for treating diabetes mellitus and various complications thereof, including diabetes mellitus complicated with coronary heart disease, diabetes mellitus complicated with hypertension, diabetes mellitus complicated with cerebrovascular lesion, diabetic nephropathy, diabetic fundus lesion, diabetic peripheral neuropathy and the like, and has the advantages of remarkable clinical curative effect, no obvious side effect, low price, good comprehensive therapeutic property and the like.

The invention discloses a vasculopathy risk identification system based on a machine learning model. A control host acquires a blood oxygen value, a pH value, a lactic acid value and a pressure value in blood vessel blood of an evaluator and a blood vessel inner wall structure image; the blood vessel is a vein blood vessel, analyzing the tube diameter and the thickness of the intima, the medium and the adventitia based on the structure image, inputting the blood oxygen value, the pH value, the lactic acid value, the pressure value, the tube diameter and the thickness of the intima, the medium and the adventitia of the assessor into a target vein blood vessel machine learning model, and training and outputting a vein blood vessel lesion risk identification result; the blood vessel is an artery blood vessel, and the composition and form of the artery blood vessel are identified and the stenosis degree value of the vessel diameter is calculated when the vessel diameter, the thickness of the inner, middle and outer membranes and artery plaques exist in the artery blood vessel are analyzed based on the structure image; and inputting the blood oxygen value, the pH value, the lactic acid value, the pressure value, the tube diameter, the thickness of the intima, the middle and the adventitia of the blood vessel, the composition and the form of the artery plaque and the tube diameter stenosis degree value of the assessor into a target artery blood vessel machine learning model to train and output an artery blood vessel lesion risk identification result.

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 present invention discloses the application of ginseng exosomes in the preparation of nanomedicines for treating diabetic ulcer vascular lesions, and relates to the field of biomedicine. The present invention verifies through experiments that ginseng exosomes can reprogram the glycolysis process of vascular endothelial cells under high sugar conditions, and inhibit the expression of acetyl coenzyme A in cells, reduce the production of reactive oxygen species, and then promote the expression of nitric oxide synthase, thereby reducing or reversing cell apoptosis induced by high sugar. Ginseng exosomes are used as nanomedicines to prevent, treat or improve diabetic ulcer microangiopathy. The ginseng exosomes in the present invention have a simple preparation process, low cytotoxicity, high delivery efficiency, and good stability. They can be used as a new type of nanomedicine for the prevention, treatment or improvement of diseases related to diabetic vascular lesions.

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 invention relates to the technical field of laser medical instruments, in particular to a laser ablation optical fiber catheter system with an imaging function, which comprises an optical fiber catheter assembly and a light splitting imaging assembly, the optical fiber catheter assembly comprises a sleeve, a guide wire guiding tube and an optical fiber bundle arranged in the sleeve, and an optical fiber coupler and an annular imaging lens are arranged at the two ends of the sleeve respectively; the tail end of the optical fiber bundle is coupled with the annular imaging lens, and the head end is connected with the optical fiber coupler; the light splitting imaging assembly comprises a light splitter and an imaging processing device, and the light splitter is located between the imaging processing device and the optical fiber coupler. The annular imaging lens is arranged at the tail end of the optical fiber catheter assembly, the spectroscopic imaging assembly is combined, vascular lesion tissue imaging is reduced, vascular lesion tissue can be observed in real time, the optical fiber bundle transmits ablation laser and pixel optical signals at the same time, extra pixel optical fibers are not added, the optical fiber catheter assembly can be made to be of a thin specification, and the optical fiber catheter assembly is convenient to use. And the application range is wider.

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.

The invention provides a balloon, a balloon dilatation catheter and a stent system, and particularly provides a balloon, a balloon dilatation catheter and a stent system suitable for bifurcated vascular lesion areas. The balloon comprises a balloon body, a far-end body and a near-end body, the far-end body comprises a first cone part, the near-end body comprises a second cone part, and at least the size of the cone angle alpha 1 of the first cone part and the size of the diameter d of the balloon in the expansion state meet the following relational expression: alpha 1 = k1ld + b1; wherein k1 belongs to [11.009, 21.478], b1 belongs to [7.98, 20.8], d is more than or equal to 5 and less than or equal to 16, and d is a positive integer. The balloon dilatation catheter comprises the balloon, a pushing tube and a catheter seat. According to the balloon, the balloon dilatation catheter and the stent system, the structure of the balloon is improved and optimized, and the balloon, the balloon dilatation catheter and the stent system are simple in structure, easy to produce, capable of achieving industrialization, low in cost, easy to operate clinically and capable of accurately releasing and positioning the stent. Therefore, the positioning accuracy of the stent in a bifurcated vascular lesion area and the success rate of an operation are greatly 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.

The invention relates to the technical field of medicines, in particular to application of yohimbine hydrochloride and a related product. The invention provides application of yohimbine hydrochloride or pharmaceutically acceptable salt thereof in preparation of products for preventing or treating hypertension, and further provides application of yohimbine hydrochloride or pharmaceutically acceptable salt thereof in preparation of products for preventing or treating vasculopathy caused by hypertension and / or heart disease caused by hypertension. It is found for the first time that yohimbine hydrochloride can be applied to preparation of the medicine for preventing or treating hypertension or heart and vasculopathy caused by hypertension, the treatment effect is good, safety is achieved, and a new treatment approach is provided for treating hypertension or hypertension-related diseases.

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.

A drug stent includes a distal and proximal end and a middle section, wherein the length of the middle section accounts for 50% to 100% of the entire stent; the drug stent contains multiple layers of drugs, and the release rate of each layer of the drug of the multi-layer drug stent gradually decreases from the outer layer to the inner layer. Therefore, the rate of drug release can be controlled layer by layer according to the lesion healing mechanism, and the drug is stable and firm and not easy to fall off; at the same time, in the axial distribution of the stent, the number of drug layers in contact with the main lesion area in the middle of the stent is relatively large, while the drug coating at the distal and proximal ends of the stent is relatively small. This design can not only treat the lesion area in a targeted manner and save costs, but also because the drug coating at the distal and proximal ends is relatively small, its radial support force is slightly greater than that of the middle section, so it can well avoid the migration of the stent in the blood vessel, and at the same time, it can avoid the stent from damaging the lesion area of ​​the blood vessel again.

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.