19 results about "Arterial stenosis" patented technology

The invention provides a quantitative risk assessment method and system for head and neck artery stenosis, and the method comprises the steps: collecting the medical image of the head and neck artery of a patient, the blood pressure of the upper arm artery, and the heart rate; a narrow local form, a cerebral artery network anatomical structure / geometric size and a microcirculation blood flow automatic regulation mechanism are comprehensively incorporated into hemodynamic analysis through a geometric multi-scale modeling technology, and information such as an arterial stenosis far-end and near-end pressure ratio, cerebral artery blood flow and hemodynamic parameters of a narrow part is output; quantitative information support is provided for risk assessment of head and neck artery stenosis; the method has the advantages that patient data are obtained only through noninvasive measurement, and the risk that complications are increased due to invasive measurement is avoided; according to the method, a geometric multi-scale modeling method is adopted to achieve integrated analysis of the three-dimensional flow field and the whole-brain circulation hemodynamic parameters of the stenosis part, the blood flow regulation effect of brain microcirculation is considered, and the physiological significance and clinical application value of the evaluation result can be remarkably improved.

The present disclosure provides an intracranial artery stenosis detection method and system. The present disclosure obtains artery stenosis detection results based on a first maximum intensity projection (MIP) image and a second MIP image obtained by preprocessing a medical image by adopting a detection model based on an adaptive triplet attention module and generates an auxiliary report and visualization results according to target category information in the artery stenosis detection results. Therefore, the problem that existing manual interpretation methods are easily affected by the subjective experience of doctors and are time-consuming and laborious can be solved, thus improving accuracy and efficiency of intracranial artery stenosis detection. Moreover, by inserting the adaptive triplet attention module into a backbone network of YOLOv4, the present disclosure can realize focus on key regions of high-dimensional features, reduce focus on irrelevant features, and provide characterization ability of the detection model.

The invention discloses an intracranial posterior circulation vascular stenosis functional evaluation method and system, electronic equipment and a computer readable storage medium, and provides a vascular stenosis functional evaluation method based on bilateral blood flow conditions by fully considering the combined action of intracranial bilateral vertebral arteries on blood flow supply. The problem that in the prior art, only one side vertebral artery is considered to conduct vascular stenosis function evaluation, and the accuracy is low is solved, if only one side of the vertebral artery on the two sides of a patient has lesion, the compensation function of the opposite side healthy vertebral artery is neglected in the prior art, the influence of lesion on vascular function can be overestimated, and the vascular stenosis function evaluation accuracy is improved. According to the method, the bilateral vertebral arteries are coupled through the pressure drop constraint condition, and the intracranial posterior circulation vascular stenosis functional evaluation is comprehensively performed in combination with the condition of the basilar artery, so that the method is more accurate, and the output evaluation dimension is wider.

The invention provides a method for predicting coronary artery stenosis degree based on a tongue picture of a patient with coronary heart disease. The method comprises the steps of obtaining a data set; the data set comprises electronic medical record information, blood examination indexes, cardiac ultrasound indexes, electrocardiograms and tongue pictures of the coronary heart disease patient; dividing the preprocessed data set into a training set and a test set according to a preset proportion; building a deep learning network model; inputting the training set into the deep learning network model for training and optimization, and storing the final optimized deep learning network model; and inputting the test set into the finally optimized deep learning network model to obtain a prediction result of the coronary artery stenosis degree of the coronary heart disease patient. According to the method, the coronary artery stenosis degree is judged according to the tongue picture, the electrocardiogram, the cardiac ultrasound index and the blood examination index of the patient with the coronary heart disease, tongue picture features extracted from the tongue picture are converted into quantifiable coronary artery stenosis noninvasive screening targets, and traditional Chinese and western medicine combined diagnosis and treatment intellectualization is promoted.

This specification provides a cardiac ultrasound coronary artery stenosis diagnostic system and method based on a visual language transfer model. The system includes: a database construction module for standardizing multi-view cardiac ultrasound video sequences and radiological reports; a cardiac region of interest (ROI) standardization and labeling module for segmenting myocardial segments, obtaining ROI data, and generating a coronary artery-specific perfusion region mask as the ROI for vascular-level stenosis prediction; a visual language transfer pre-training module for semantic alignment of video data and report text using a visual language transfer model; and a downstream task prediction module for utilizing the enhanced attention mechanism of the coronary artery-specific perfusion region mask, based on the global visual features output by the visual language transfer pre-training module, to output patient-level classification results for obstructive coronary artery disease and vascular-level stenosis prediction results for LAD, LCX, and RCA.

The application discloses a noninvasive calculation method of coronary microcirculation resistance and resistance index, and the method comprises the following steps: firstly, based on coronary computer tomography angiography data, blood vessel segmentation is carried out by using a U-Net convolutional neural network, and then a personalized 3D coronary stenosis branch vessel model is reconstructed; secondly, the information of multiple blood vessels (physiological parameters such as age, blood pressure and left ventricular volume in the systolic phase) is integrated, and the length, cross-sectional area, volume and other geometric structure parameters of a specific part of the blood vessel are measured and calculated; thirdly, fluid dynamics simulation is utilized to obtain the invasive CMR and IMR; fourthly, correlation analysis is carried out between the characteristic parameters and the CMR and IMR; fifthly, the characteristic parameters with high correlation are selected to carry out machine learning prediction, so as to realize noninvasive calculation of the CMR and IMR. The noninvasive method for evaluating the CMR and IMR can complete measurement in a short time and has high precision, and is convenient and safe.

The invention discloses a CT-FFR quantitative evaluation system in a photon CT high-resolution scanning mode, and belongs to the technical field of coronary artery stenosis, and the system comprises a data collection image generation module which is used for collecting coronary artery photon CT image data; the three-dimensional reconstruction fluid analysis module is used for performing processing and three-dimensional reconstruction on the coronary artery photon CT image data, generating a three-dimensional geometric model of a coronary artery tree and a narrow section, and outputting an FFR value of any position of the coronary artery; and the CT-FFR accurate quantitative evaluation module is used for analyzing the high-resolution coronary artery photon CT image data and determining a CT-FFR accurate quantitative evaluation result. The problems that high-precision, non-invasive and efficient coronary function evaluation cannot be achieved, and accurate quantification of coronary flow reserve fractions cannot be achieved in the prior art are solved. According to the method, high-precision, non-invasive and efficient coronary artery functional evaluation can be achieved, and accurate quantification of the coronary artery fractional flow reserve can be achieved.

This invention discloses a pulse-release balloon dilation pump and method for intracranial arterial stenosis. Addressing the mechanical mechanism of thin intracranial arterial walls and irregular plaques leading to axial stress accumulation and subsequent complications such as dissection and detachment, this invention adds a pulse-release control unit to a conventional pressure pump. Its core physical principle is as follows: When the balloon dilates at an irregular plaque, the intramural strain energy density distribution is uneven. Static friction constraint keeps the system in a high-energy metastable state, and the accumulated elastic potential energy ΔU continuously increases with expansion. The constraint factor λ is defined as F_required / f_max; when λ>1, the balance is unstable, and energy suddenly bursts. This invention uses periodic short-term pressure release to instantaneously decrease the contact pressure, reduce the static friction limit, and briefly raise λ to >1, actively triggering micro-slippage, releasing a small portion of the accumulated energy each time, achieving segmented and gentle energy release. Pulse parameters (amplitude, frequency, etc.) can be flexibly adjusted according to actual clinical conditions. The pulse mode offers flexible and diverse usage options. Operators can initiate it synchronously in the early stages of dilation, when risk signs appear, intervene as needed during pressure application, or combine multiple methods, allowing the operator to independently determine the operational procedure. Based on thin-film mechanics, tribology, and viscoelasticity theories, this invention is simple to operate, does not alter the clinical procedure, and effectively reduces the risk of complications during intracranial artery stenosis balloon angioplasty.

The invention belongs to the technical field of arterial stenosis assessment, and relates to a flexible piezoelectric guide wire sensor, a preparation method thereof and application of the flexible piezoelectric guide wire sensor in arterial stenosis assessment. Lead zirconate titanate and polyvinyl chloride are mixed to form the polyvinyl chloride composite material film layer, so that the piezoelectric guide wire is endowed with an excellent dielectric constant, the flexibility of the piezoelectric guide wire is enhanced, blood vessels of a thrombus patient are not prone to being damaged in the detection process, the surface of the piezoelectric guide wire is covered with the hot-melt polyvinyl alcohol waterproof layer, and the stability of the piezoelectric guide wire is improved. The nano-gold electrode layer, the conductive metal wire and the external conductor are insulated, the accuracy of electric signal transmission is ensured, the nano-gold electrode layer, the conductive metal wire and the external conductor can deform even under the action of micro force due to good combination and flexibility, and the sensitivity of the sensor is further improved.

The invention discloses a balance training device for gait correction of an intracranial artery stenosis patient, and belongs to the field of medical rehabilitation instruments. The problems that an existing training instrument is difficult to adapt to a critical patient, sole postures are difficult to correct, adaptability is poor, and simulated walking is not real are solved. The device comprises a rack, two sides of the rack are rotatably connected with a driving roller and a driven roller, and three running belts are in transmission connection between the driving roller and the driven roller; two driving mechanisms are arranged at the top of the rack, each driving mechanism comprises a first mounting plate and a second mounting plate, the first mounting plates are connected with guide rails and sliding rods, the sliding rods are connected with fixing plates, the second mounting plates are connected with second mounting shafts, and the ends of the second mounting plates are connected with rotating discs and eccentric driving shafts; a motor is arranged on one side of the rack and drives the second mounting shaft to rotate through a synchronous wheel, a synchronous belt and a gear; and the top of the rack is provided with a cushion and a positioning plate which can be adjusted through a pin shaft. The device is used for gait correction balance training of patients with intracranial artery stenosis, can reduce training difficulty, timely corrects gaits, adapts to different patients, and simulates real walking.

The utility model belongs to the field of carotid artery stenosis medical instruments, and particularly relates to an autoblood transfusion device. Comprising a filter used for intercepting thrombus, the two ends of the filter are externally connected with backflow pipelines, the backflow pipelines are used for enabling blood in arteries to flow back to veins, the filter comprises a cavity of a pear-shaped structure and a filter element with a conical tail, and the filter element is installed in the cavity of the pear-shaped structure. The cavity of the filter can help blood fluid to move stably, and thrombus generation is reduced. And the conical structure at the tail part of the filter element can effectively reduce blood turbulence, and can store thrombus falling from a surgical part plate, so that the risk of blockage of the filter screen is reduced.

The invention provides a renal artery stenosis ultrasonic diagnosis report automatic generation method, and relates to the technical field of image data processing, and the method comprises the steps: inputting a plurality of renal artery ultrasonic images, carrying out the redundancy processing, calculating the semantic correlation between each image and a diagnosis text, and screening out a key image; performing feature extraction and enhancement on the screened key images, constructing a static medical knowledge memory matrix, and aligning enhanced visual features with the static medical knowledge memory matrix to generate knowledge alignment vectors; maintaining a dynamic memory network, and injecting the knowledge alignment vector into the dynamic memory network; and fusing the external knowledge token into a code, and finally outputting a structured renal artery ultrasonic diagnosis report based on the enhanced visual features, the external knowledge token and the dynamic memory network state. According to the method, redundant information processing and fine-grained feature extraction of the renal artery ultrasonic image are realized, and external medical knowledge is guided to generate a long ultrasonic diagnosis report which is consistent in logic and has clinical interpretability.

The application discloses a CT-FFR quantitative evaluation system based on a high-resolution photon CT scanning mode, belongs to the technical field of coronary artery stenosis, and comprises the following modules: a data acquisition and image generation module, which is used for acquiring coronary artery photon CT image data; a three-dimensional reconstruction and fluid analysis module, which is used for processing and three-dimensionally reconstructing the coronary artery photon CT image data, generating a three-dimensional geometric model of a coronary artery tree and a stenosis section, and outputting an FFR value of an arbitrary position of the coronary artery; and a CT-FFR precise quantitative evaluation module, which is used for analyzing high-resolution coronary artery photon CT image data and determining a CT-FFR precise quantitative evaluation result. The application solves the problems that the existing coronary artery function evaluation cannot be high-precision, non-invasive and efficient, and the coronary artery flow reserve fraction cannot be precisely quantified. The application can realize high-precision, non-invasive and efficient coronary artery function evaluation and can realize precise quantification of the coronary artery flow reserve fraction.

A personal carotid artery stenosis detection and stroke prevention device and a personal carotid artery stenosis detection and stroke prevention process are disclosed. The personal carotid artery stenosis detection and stroke prevention device is configured to check carotid arteries of a person for buildup of stenosis. The device is a smart device with a camera and a processing unit configured to analyze video footage captured by the camera and detect possible buildup of stenosis in one carotid artery or both carotid arteries. Analysis and detection is carried out according to the personal carotid artery stenosis detection and stroke prevention process. By detecting stenosis buildup, the device is able to inform the person of the risk of stroke, thereby helping the person to prevent a potential stroke.

The present disclosure relates generally to the treatment of subjects having aortic stenosis, or at risk of developing aortic stenosis, by administering an Alkaline Phosphatase (ALPL) inhibitor to the subject.

To provide a new therapeutic agent that enables suppression of vascular hypertrophy, exemplified by peripheral pulmonary arterial stenosis in pulmonary hypertension.SOLUTION: An agent for inhibiting vascular hypertrophy comprising a CSF1R inhibitor is provided.SELECTED DRAWING: None

The utility model discloses a covered stent which comprises a stent body and a covering film. The stent body is covered with the covering film, the covering film is provided with a hole opening area, and the hole opening area is provided with a plurality of micropores which are used for enabling fluid to flow to the outside from the interior of the covered stent. Wherein the diameter of the micropores is 1.5-1.8 mm, the density of the micropores is 25-36 per 2 square centimeters, the angle range of the opening area in the circumferential direction of the covered stent is 45-360 degrees, and the length of the opening area in the axial direction of the covered stent is not larger than 12 cm. According to the covered stent, by reasonably arranging the diameters and the density of the micropores, it can be guaranteed that blood flow in branch arteries is laminar flow, branch arterial thrombosis, arteriosclerosis and artery stenosis probability increase and cerebral infarction probability increase caused by the fact that the blood flow is turbulent flow are avoided, and the situation that interlayer cannot be healed due to turbulent flow is avoided; the blood flow pressure of the branch artery is reduced, the blood flow and perfusion amount of the branch artery are guaranteed, and then the patency rate of the branch artery is guaranteed.

The present application relates to the technical field of medical image processing, and discloses a system for detecting microcirculation disorder caused by carotid stenosis, comprising: a data acquisition module for acquiring a superficial retinal layer image and a deep retinal layer image of a person to be detected; an image analysis module for extracting blood vessel parameters after sequentially performing binarization and skeletonization on the superficial retinal layer image and the deep retinal layer image respectively; and a detection module for obtaining a carotid ultrasound measurement index based on the blood vessel parameters by using a regression model of the blood vessel parameters and the carotid ultrasound measurement index, and determining the microcirculation disorder category to which the person to be detected belongs. The system can non-invasively detect the state of microcirculation of a patient with carotid stenosis.

A method measures a perfusion wave upstroke associated with leg perfusion dynamics, the perfusion wave upstroke including two phases, an initial slow phase and a fast-rising phase, and using prolongation of the slow phase to detect a presence of arterial stenosis and to assess stenosis severity.