49 results about "Coronary stenosis" patented technology

A system for inducing cardioplegic arrest and performing an endovascular procedure within the heart or blood vessels of a patient. An endoaortic partitioning catheter has an inflatable balloon which occludes the ascending aorta when inflated. Cardioplegic fluid may be infused through a lumen of the endoaortic partitioning catheter to stop the heart while the patient's circulatory system is supported on cardiopulmonary bypass. One or more endovascular devices are introduced through an internal lumen of the endoaortic partitioning catheter to perform a diagnostic or therapeutic endovascular procedure within the heart or blood vessels of the patient. Surgical procedures such as coronary artery bypass surgery or heart valve replacement may be performed in conjunction with the endovascular procedure while the heart is stopped. Embodiments of the system are described for performing: fiberoptic angioscopy of structures within the heart and its blood vessels, valvuloplasty for correction of valvular stenosis in the aortic or mitral valve of the heart, angioplasty for therapeutic dilatation of coronary artery stenoses, coronary stenting for dilatation and stenting of coronary artery stenoses, atherectomy or endarterectomy for removal of atheromatous material from within coronary artery stenoses, intravascular ultrasonic imaging for observation of structures and diagnosis of disease conditions within the heart and its associated blood vessels, fiberoptic laser angioplasty for removal of atheromatous material from within coronary artery stenoses, transmyocardial revascularization using a side-firing fiberoptic laser catheter from within the chambers of the heart, and electrophysiological mapping and ablation for diagnosing and treating electrophysiological conditions of the heart.

A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.

A computer-based method for determining a prediction of risk and/or an indication of extent of coronary stenosis in a human subject, comprises the steps of: (a) inputting the level of at least one cholesteryl ester measured in a blood sample collected from said subject; and then (b) inputting the age and gender of said subject; and then (c) generating in said computer from said cholesteryl ester level input, said age input and said gender input a prediction of risk and/or an indication of extent of coronary stenosis blood sample by mass spectrometry.

The invention provides a cobalt-chromium alloy artery stent with full-biodegradation medicine coating; the full-biodegradation coating of the stent has good stent flexibility, pathological change permeability and radial bearing force; the invention further provides a preparation method of the stent; multi-level coating applying technology, metallic support surface inert gas processing process and the like are adopted, the firmness of the stent surface coating, the toughness and tensile strength thereof are greatly improved, thereby being beneficial to keeping the integrity of the coating; in addition, the invention provides a cobalt-chromium alloy artery stent with full-biodegradation medicine coating, which is prepared by radial grading squeezing process, the damage of the coating can be avoided to the greatest extent, the retention force between the stent and a conveying system is greatly improved, the possibility that the stent is migrated in the conveying process is avoided, the clinical using risk is reduced, and the problems of coronary artery stenosis and restenosis are effectively solved.

The invention discloses a method and device for establishing a coronary artery physiological index relationship, and a method and device for applying a coronary artery physiological index relationship. The method for establishing the coronary artery physiological index relationship comprises obtaining a plurality of human body parameters in a unit of human; determining the coronary artery physiological index of each person in a unit of human; establishing a first corresponding relationship between the plurality of human body parameters and the coronary artery physiological indexes of each person in a unit of human; establishing optimization fusion according to the first corresponding relationship to determine a second corresponding relationship between various physiological parameters andvarious coronary artery physiological indexes; acquiring a plurality of human body parameters of a patient; and determining the coronary artery physiological indexes corresponding to various physiological parameters according to the second corresponding relationship. The optimization fusion method of the invention can evaluate the physiological severity of coronary stenosis more accurately and reliably than a method just using geometric measurement.

A drug releasing medical device of the invention is provided with a controlled drug release composition containing 100 parts by weight of an organic polymeric material which is soluble in an organic solvent and insoluble in water, 5 to 60 parts by weight of a release auxiliary agent which is lipid-soluble and low in molecular weight and a 1 to 70 parts by weight of a drug. When the composition is applied to a stent, a catheter, an organ replacement medical device, an artificial organ or the like in the form of coating or the like, a drug releasing function is given to the medical device. From a surface of a stent for treating coronary stenosis, which is a preferred embodiment, argatroban, sarpogrelate hydrochloride or both of them are released gradually. In order to express a controlled release property in a desired period of time, the drug to be released gradually is carried in a polymeric material coated on a metal surface constituting the stent or in a porous stent substrate. It is preferred that the polymeric material is noncrystalline and further biodegradable and contains a tartaric acid ester, a malic acid ester or a monoester or diester of glycerine as the release auxiliary agent.

A method and system for non-invasive assessment of coronary artery stenosis is disclosed. A patient-specific real anatomical model of a diseased coronary artery of a patient is generated from medical image data of the patient. A hypothetical normal anatomical model is generated for the diseased coronary artery of the patient. Blood flow is simulated in each of the patient-specific real anatomical model of the diseased coronary and the hypothetical normal anatomical model for the diseased coronary artery. A hemodynamic index is calculated using simulated blood flow rates in the patient-specific real anatomical model of the diseased coronary and the hypothetical normal anatomical model for the diseased coronary artery. In particular, fractional flow reserve (FFR) for the diseased coronary artery is calculated as the ratio of the simulated blood flow rate in the patient-specific real anatomical model of the diseased coronary artery and the simulated blood flow rate in the hypothetical normal anatomical model for the diseased coronary artery.

The invention provides a method, a device and a system for acquiring a vascular stenosis lesion interval and performing three-dimensional synthesis. A blood vessel center line is extracted from coronary artery two-dimensional contrast images of the at least two body positions in the direction from the coronary artery inlet to the coronary artery tail end; A straightened blood vessel image is acquired according to the coronary artery two-dimensional contrast image and a blood vessel center line; a straightened blood vessel contour line is acquired according to the straightened blood vessel center line and the straightened blood vessel image; geometric information of the straightened blood vessel is acquired. Three-dimensional modeling is carried out according to the geometric information, the center line and the contour line to obtain a three-dimensional blood vessel model with a narrow lesion interval. The stenosis lesion interval is stereoscopically displayed to a patient and a doctorin a three-dimensional blood vessel model mode, the stenosis lesion interval is more vivid, all angles of the stenosis lesion can be displayed, the influence of the shooting angle of the two-dimensional radiography image on the judgment result of coronary artery stenosis is reduced, and the stenosis lesion area of the blood vessel can be accurately judged.

The invention discloses a method for measuring the vascular diameter in a coronary angiography image based on depth learning. The method for measuring the vascular diameter in a coronary angiography image based on depth learning comprises the following steps: a DSA image processing module converts real-time acquired DSA image data into a data stream which can be processed by a subsequent module, and stores the data stream in a memory and sends the data stream to a depth network segmentation module. The depth network segmentation module segments the acquired DSA image data to distinguish the blood vessel pixel from the background pixel. The centerline extracting module extracts the blood vessel centerline from the blood vessel pixel image. The diameter calculation module calculates the measured diameter, the reference diameter and the stenosis rate of the blood vessel based on the segmented image and the blood vessel centerline. Compared with the PVA method, the invention has more objective results and avoids the differences between different doctors and different hospitals due to different interpretation methods. This method does not need manual intervention and is easy to operate.It can be used by doctors in coronary angiography and can provide objective reference for doctors to determine the degree of coronary stenosis.

The invention discloses a coronary artery stenosis estimation method, system and device. The method comprises the steps: carrying out the preprocessing of an obtained medical digital imaging and communication DICOM image, and obtaining a DICOM image meeting the requirements; inputting the preprocessed DICOM image into a pre-trained neural network, and outputting a calcified area and a coronary artery area through the neural network; determining a calcified area where the plaque with the maximum diameter is located and a corresponding coronary artery area; calculating the maximum diameter of the calcified area and the corresponding coronary artery diameter, calculating the coronary artery stenosis degree according to the maximum diameter of the calcified area and the corresponding coronaryartery diameter, obtaining the lesion level corresponding to the coronary artery stenosis degree, and outputting the lesion level and the coronary artery stenosis degree.

A pharmaceutical composition for therapy of coronary artery narrowing or blockage, which comprises a sustained release preparation containing an angiogenesis factor or a gene encoding the same and a gelatin hydrogel is disclosed. Examples of the angiogenesis factor which may be used include e.g., bFGF and other FGFs, VEGF, HGF, PDGF, TGF, angiopoietin, HIF, cytokine, chemokine, adrenomeduline and the like.

The invention relates to a method for diagnosing and positioning coronary artery stenosis by using a computer, which comprises the following steps of: processing a first multi-dimensional coronary artery matrix depth information image through calculation, and calculating and processing a first stenosis area blood vessel part Kt in the first multi-dimensional coronary artery matrix depth information image through a first calculation unit to obtain a first image A; and performing first image instance segmentation Go on the first image A to obtain a segmented second coronary artery blood vessel image.

The invention provides a coronary artery stenosis quantification method and device, and the method comprises the steps: building the corresponding relation between the multi-view image features of a coronary artery multi-view medical image and the morphological parameters of coronary artery stenosis through the self-learning capability of an artificial neural network; obtaining current multi-viewimage features of the current coronary artery multi-view medical image of the patient; determining morphological parameters of the current coronary artery stenosis corresponding to the current multi-view image features through the corresponding relationship; specifically, determining the morphological parameters of the current coronary artery stenosis corresponding to the multi-view image features, which includes that the morphological parameters of the coronary artery stenosis corresponding to the multi-view image features identical to the current multi-view image features in the corresponding relation are determined as the morphological parameters of the current coronary artery stenosis. The morphological parameters of coronary artery stenosis are predicted based on multiple perspectives, and the influence of stenosis overlapping with other blood vessels on stenosis quantification is relieved.

The invention discloses a coronary artery stenosis visualization quantification method and device based on multi-channel heart sound, and is suitable for the field of analysis of cardiophonogram electrocardiograms. The method comprises the steps of synchronously collecting and recording electrocardiosignals and multi-channel heart sound signals, and storing the electrocardiosignals and the multi-channel heart sound signals as audio files; segmenting heartbeat cycle signal data into S1, a systolic period, S2 and a diastolic period by using R waves and heart sound characteristics; respectively calculating characteristic values of each section of the heartbeat cycle and the total heartbeat cycle; performing stenosis degree risk prediction by adopting multi-model prediction and decision rules;and representing the coronary artery stenosis risk degree by adopting columnar graphs with different colors and heights. According to the method, various characteristics are extracted, heartbeat cycle characteristics are reflected in all directions, and the model prediction accuracy is improved through the multi-machine learning model and the use of decision rules. The health condition of the coronary artery is visually reflected in the forms of the energy spectrogram and the histogram.

The invention discloses a coronary artery stenosis lesion degree identification method based on multi-classifier fusion. The method comprises the following steps: firstly, constructing an image sample library; preprocessing a CT original sequence diagram extracted by a heart CTA, and then performing feature extraction to extract three types of features including interested texture features, gray features and geometric features; dividing the samples into a training group and a test group, calculating the correlation between each feature and a prediction result, and removing the features with small correlation; establishing a multi-classifier fusion prediction model, fusing results of the single classifiers to predict the coronary artery stenosis lesion degree, meanwhile, determining the weights of the three single classifiers in the fusion classifier through a weighting method, and when the stenosis degree is lower than 50%, judging that the sample a normal sample, and when the stenosis degree is larger than 50%, judging that the sample is a lesion sample. According to the method, automatic classification and pre-judgment on the aspect of judging the stenosis degree are realized, and the injury to a patient caused by an invasive operation is avoided.

The invention discloses a quality testing method dynamic test phantom simulating cardiovascular motion for quality evaluation of CT imaging, and its control principle and quality testing method. The dynamic test phantom includes: a control system, an electric cylinder unit, a piston pump unit, a fluid circuit unit and a cardiovascular phantom; the control system includes a control box and a control PC, wherein the control box includes a PLC control system and an electrocardiogram generator, and the PLC control system is connected with the control PC and the electrocardiogram generator respectively; the electric cylinder unit includes an electric cylinder drive unit and an electric cylinder transmission unit, wherein the electric cylinder drive unit is connected with the PLC control system, and the electric cylinder transmission unit is connected with the electric cylinder drive unit; the piston pump unit is connected with the electric cylinder transmission unit; the fluid circuit unit includes a fluid confluence module and fluid pipelines, which are connected with the piston pump unit and the cardiovascular phantom respectively; and the cardiovascular phantom includes a ventricular phantom, coronary artery phantoms and a water tank. The dynamic test phantom according to the invention can simulate ventricular strokes and multiple motion phases, and has standard models of normal heart rate, arrhythmis, coronary artery stenosis, etc.