1599 results about "Cardiac muscle" patented technology

Various systems, devices, and methods are disclosed herein for treating acute myocardial infarction (AMI) patients using a heart pump controlled in a manner that maximizes mechanical unloading of the left ventricle in the presence of cardiovascular instability and minimizes myocardial oxygen consumption (MVO2) and consequentially infarct size to prevent the development of subsequent heart failure. In a closed feedback system, the system can include a sensor configured to generate an output used to measure or calculate a left ventricular systolic pressure (LSVP) within the left ventricle of a heart and a controller coupled to a heart pump. The controller can be configured to measure or calculate the LVSP based on the output of the sensor and to control an operation of the heart pump to maximize mechanical unloading of the left ventricle based on the measured or calculated LVSP.

Systems and methods for four-dimensional analysis of a patient's coronary arteries and myocardial wall. An example method includes accessing angiographic x-ray images of one or more arteries, with the x-ray images depicting the arteries from respective angles, with each x-ray image being associated with a cardiac phase of cardiac phases, and with the cardiac phases being included in a cardiac cycle. A three-dimensional model of the arteries is generated for each cardiac phase based on a subset of the x-ray images which are associated with the cardiac phase. A four-dimensional representation of the arteries is generated throughout the cardiac cycle based on the three-dimensional models for the cardiac phase. Information associated with the four-dimensional presentation is presented.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The invention relates to a preparation method of Pt monatomic nano-enzyme and application of Pt monatomic nano-enzyme in cardiac troponin I. The preparation method comprises the following steps: 1) ultrasonically dispersing cobalt salt, selenium powder, chloroplatinic acid, urea and sodium chloride in an alcohol solvent, heating and stirring until the solvent is completely volatilized to obtain a solid mixture, and grinding the solid mixture into powder; and 2) placing the powder in a heating device, carrying out Joule heat treatment in an air atmosphere, washing a reactant, and carrying out vacuum drying to obtain the Pt monatomic nano-enzyme. Se doping is introduced in the one-step chemical reaction process to construct oxygen vacancies, rapid heating and structural shaping are achieved in combination with Joule heat treatment, the Se-doped Co3O4-loaded Pt monatomic catalyst is obtained, the oxygen vacancies and Se doping sites are synergistically used as anchoring sites, Pt monatomic atoms are effectively fixed, and the loading capacity and dispersity of the Pt monatomic atoms are improved. The obtained material shows excellent POD-like enzyme activity, can be used for constructing a high-sensitivity colorimetric immunoassay system, and realizes rapid and accurate detection of cTnI.

The invention relates to the technical field of physiological signal prediction, in particular to a preoperative risk assessment method for the department of cardiology, which comprises the following steps: sliding window segmentation time sequence data to calculate a baseline offset, dynamic time warping alignment parameter fluctuation rate to generate an abnormal mark, and standard deviation comparison amplitude threshold triggering risk signals. K-means clustering multi-dimensional data mapping risk levels, isolated forest detection abnormal fluctuation and electrocardiogram and myocardial zymogram cross validation are combined, and a preoperative risk assessment conclusion is output. According to the method, individual differences and interferences are eliminated through a sliding window algorithm, a time difference problem is solved by aligning a multi-parameter fluctuation rate through dynamic time warping, a quantitative evaluation standard is established by comparing a standard deviation with an amplitude threshold value to avoid limitation of a single threshold value, and objective grading is realized by combining K-means clustering with an Euclidean distance. The isolated forest algorithm, the electrocardiogram ST segment and myocardial zymogram cross validation form a multi-modal evaluation system, and the risk evaluation sensitivity and specificity are improved in a complete closed-loop mode.

The invention provides a clinical diagnosis and treatment path generation method and system for tracking a chest pain patient. Wherein a dynamic spatio-temporal data atlas is constructed by synchronously collecting respiratory rhythm phase difference, coronary artery calcification integral and hypersensitive troponin curve slope, and risk degree transition signals are generated by coupling analysis of ST segment elevation amplitude asymmetric growth, left ventricular ejection fraction attenuation gradient and B-type natriuretic peptide release rate. In the acute stage, the constraint relation between a vascular recanalization time window and thrombolysis taboo is dynamically bound, in the subacute stage, a phase synchronization rule for enhancing CT scanning and anticoagulant drug dosage is established through a multidisciplinary interface, intravascular ultrasonic plaque morphological mutation characteristics and extracorporeal circulation parameters are fused, the blood supply reconstruction time sequence is dynamically adjusted based on a myocardial oxygen consumption balance equation, and the thrombolysis time sequence is determined. And path self-optimization is realized through space-time superposition of an interventional therapy delay parameter and a drug metabolism curve. According to the technical scheme provided by the invention, chest pain diagnosis and treatment path dynamic optimization and multi-modal parameter collaborative decision-making are realized, and the risk layering precision and the treatment timeliness are improved.

The present application provides a cardiac fibrosis diagnosis model based on multi-task attentional feature fusion. The cardiac fibrosis diagnosis model is established by the following steps: S01: image collection and labeling: obtaining cardiac magnetic resonance (MR) images as sample data, and performing manual labeling to obtain heart labels corresponding to the MR images; S02: image preprocessing, including normalization processing, data enhancement, and data clipping; S03: model establishment, including establishment of an image recovery network and establishment of an image segmentation and classification network, and executing an image recovery task; S04: model pre-training: training the image recovery network such that the encoder of the image recovery network fully learns the feature of the cardiac fibrosis image; and S05: model training. An objective of the present application is to improve the segmentation precision and diagnosis accuracy of a network model for a cardiac fibrosis image.

The invention relates to the field of gene therapy, in particular to an RBM25 gene epigenetics activation technology based on a CRISPR / dCas9-SunTag system and application of the RBM25 gene epigenetics activation technology in ischemic heart failure treatment, the RBM25 gene epigenetics activation technology comprises the following steps: (a) protein containing inactivated Cas9 (dCas9) fused with a plurality of GCN4 peptide repetitive sequences, the number of the GCN4 peptide repetitive sequences is 8-12, and the dCas9 contains D10A and H840A double mutations; (b) a protein containing fusion of an anti-GCN4 single-chain antibody fragment (scFv) and a TET1 catalytic structural domain; (c) at least one gRNA of a target RBM25 gene promoter region, wherein a target sequence of the gRNA is selected from a sequence as shown in SEQ ID NO: 1-3; and (d) a lipid nanoparticle (LNP) system for delivery of said (a), (b), and (c).

The invention relates to the technical field of medical image analysis, in particular to a left ventricular compliance assessment method and system based on medical image.The method comprises the following steps that a planar three-dimensional coordinate from a left ventricular apex to a mitral annulus is obtained through a CT image, a thin-plate spline interpolation algorithm is called to establish a left ventricular long-axis model, the ultrasonic end-stage internal diameter is obtained synchronously, and a left ventricular compliance assessment result is obtained. And inputting the left greenhouse long axis model and the ultrasonic diastole end-stage inner diameter into an Euclidean distance calculation function to generate a left greenhouse length-diameter ratio. According to the method, a left greenhouse long axis model is constructed by integrating CT three-dimensional coordinates and ultrasonic inner diameter, the length-diameter ratio is calculated by combining Euclidean distance, point cloud registration is carried out, a myocardial wall area is segmented, local deformation is quantized by utilizing Gaussian curvature gradient, a correction factor is generated by inputting a radial basis function network, and a parameter coupling mechanism is established by fusing an aorta root angle. And optimizing the weight of the pressure-volume equation, establishing a dynamic model, and realizing a quantitative evaluation system of spatial heterogeneity and time continuity.

The invention discloses a hypertensive heart disease early screening system fusing ultrasonic multiple parameters, which comprises the following steps: acquiring ultrasonic image data and physiological index monitoring parameters of a patient at different time points, performing difference comparison on heart structure parameters to generate time sequence change data, and establishing a multi-dimensional data fusion scheme based on the time sequence change data and physiological indexes; according to the fusion scheme, acute risk trigger factors are identified, blood flow abnormal parameters are generated, and emergency threshold comparison is carried out to generate acute risk early warning signals; extracting a myocardial strain degradation rate to determine a chronic degradation acceleration time point, carrying out disease progress stage association to generate a chronic risk layering curve, and establishing a clinical index comparison table; carrying out double-layer correlation on the acute risk early warning signal and the chronic risk layering curve, and carrying out calibration judgment to generate a comprehensive risk judgment sequence; the sequence is decomposed into an acute judgment layer and a chronic judgment layer, a risk threshold value is configured to generate an instant early warning signal, a layered screening report is formed, and technical support is provided for early discovery of the hypertensive heart disease.

The invention discloses a compound composition with a multi-target heart protection function as well as a preparation method and application of the compound composition. The composition is composed of a basic functional oil phase, a core antioxidant / anti-inflammatory phase, a myocardial nutrition and regulation phase and a bioavailability promotion phase in a synergistic manner, and is integrated into a composite cardiac oligopeptide and microencapsulated particle key component substance through a specific enzymolysis and microencapsulation embedding process system. The invention aims to solve the technical problems of single target spot, insufficient synergistic effect of all components, low bioavailability of active components and poor stability of the existing heart protection product, and provides a stable and easily-absorbed composite composition which can realize synergistic effect from multiple channels at the same time. Technical effect verification shows that under the condition of equal-dose sample feeding, the composition can remarkably improve the bioavailability of functional components and shows excellent myocardial cell oxidative damage resistance and myocardial ischemia improvement activity in cell and animal models, the effect is remarkably superior to that of independent use or simple physical mixing of all the components, and the composition is suitable for clinical application. And the substantial progress of synergistic interaction is proved. The composition can be used for developing various medicines, health foods and functional foods beneficial to heart health.

The invention discloses a heart image processing method and device, a storage medium and computer equipment, and relates to the technical field of nuclear medicine image processing and quantitative analysis. The method comprises the steps that a heart image to be processed is acquired, four cavities of the heart image are segmented based on a pre-trained segmentation model, segmentation masks are obtained, and the heart image is a CT image or an MR image; aligning the heart image into a PET space, so that the segmentation mask is mapped to a PET image corresponding to the heart image, and a PET segmentation image is obtained; and cutting the PET segmented image based on the segmentation mask to obtain a PET target anatomical region, and performing three-dimensional rendering on the PET target anatomical region to obtain a dynamic rendered image of tracer agent distribution. According to the method, the segmentation precision of the myocardial subregion can be improved, and the three-dimensional visualization effect of the heart image and the processing efficiency of the heart image are improved.

The invention relates to the technical field of medical data analysis, in particular to a sepsis prediction system based on deep learning. The system comprises a sepsis risk assessment module, a capillary barrier injury analysis module, a myocardial inhibition analysis module and a sepsis prediction module, and blood lactic acid concentration data of a patient are obtained through a lactic acid analyzer; acquiring oxygenation state data of a patient through a blood gas analyzer, and performing sepsis risk assessment according to the oxygenation state data of the patient and the blood lactic acid concentration data of the patient, so as to obtain sepsis risk data; obtaining a lung structure image through a high-resolution chest CT; performing alveolar feature extraction according to the lung structure image to obtain alveolar data; according to the pulmonary alveolar data, capillary barrier injury analysis is carried out, so that capillary barrier injury data is obtained; an echocardiogram is obtained by an echocardiograph. The sepsis prediction accuracy is improved based on a medical data analysis technology.

The invention discloses a high-sensitivity cardiac troponin-T electrochemiluminescence detection kit. The kit comprises a magnetic microsphere reagent coated by a high-sensitivity cardiac troponin-T capture antibody and a high-sensitivity cardiac troponin-T detection antibody reagent labeled by an electrically neutral ruthenium compound, the structural general formula of the electrically neutral ruthenium compound is # imgabs0 # n = 0-9; the magnetic microsphere reagent coated with the high-sensitivity cardiac troponin-T capture antibody comprises a magnetic microsphere coated with the high-sensitivity cardiac troponin-T capture antibody and a diluent; the electrically neutral ruthenium compound labeled high-sensitivity cardiac troponin-T detection antibody reagent comprises an electrically neutral ruthenium compound labeled high-sensitivity cardiac troponin-T detection antibody and a diluent; the diluent is prepared from piperazine-1, 4-diethyl sulfonic acid or 3-(N-morpholinyl)-2-hydroxy propanesulfonic acid. When the high-sensitivity cardiac troponin-T electrochemiluminescence detection kit is used for detection, a reaction system does not contain streptavidin coated magnetic beads or biotinylated antibodies, so that interference of biotin in a sample is avoided.

The invention belongs to the field of biological medicines, and particularly discloses application of DNAJB6 in preparation of medicines for preventing or treating myocardial infarction (MI). In-vivo and in-vitro experiments find that the expression of DNAJB6 protein in an MI model is remarkably reduced, and the over-expression of DNAJB6 can improve the cardiac function of a mouse after MI, relieve myocardial fibrosis and inhibit hypoxia-induced myocardial apoptosis; and cell apoptosis is aggravated by low expression of DNAJB6. The overexpression of the DNAJB6 by using the myocardial specific adeno-associated virus (AAV) can be used as a new strategy for preventing and treating the MI, and an experimental basis is provided for developing a drug for targeting the DNAJB6.

The invention belongs to the technical field of biological medicines, and particularly relates to application of oxibenzophenone in preparation of a medicine for treating pathological cardiac hypertrophy and / or heart failure. Research results in myocardial cells of primary newborn rats show that Exibenzophenone can inhibit pathological hypertrophy of myocardial cells induced by phenylephrine (PE). Animal experiments show that the epoxybenzophenone can improve cardiac dysfunction induced by aortic arch constriction (TAC) and reduce cardiac hypertrophy and cardiac tissue fibrosis. The invention provides a new drug research and development approach and a drug action target for treating pathological cardiac hypertrophy and heart failure, and has very important medicinal value.

The invention relates to application of an MYZAP overexpression vector in preparation of a medicine for preventing and treating MIRI, and belongs to the technical field of biological medicine. In order to solve the problem that application of gene drugs in prevention and treatment of myocardial ischemia reperfusion injury is limited, the invention provides application of an MYZAP gene overexpression recombinant vector in preparation of drugs for prevention and treatment of myocardial ischemia reperfusion injury, and the MYZAP gene overexpression recombinant vector is an adeno-associated virus vector AAV9-MYZAP for overexpressing MYZAP. Experiments prove that MYZAP overexpression can improve the cardiac function after myocardial ischemia reperfusion, reduce the occurrence rate of arrhythmia and improve the functions of sodium ion channels, potassium ion channels and calcium ion channels of myocardial cells. On the basis, the invention further provides a medicine for preventing and treating myocardial ischemia reperfusion injury, a new strategy is provided for gene therapy of myocardial ischemia reperfusion injury, and the medicine has a wide clinical application prospect.

The invention relates to the technical field of biological medicines, and provides a novel DELTP polypeptide and application thereof in improving cTnI cardiovascular medicines, and a novel polypeptide and application thereof in medicines for treating cardiovascular diseases. The polypeptide has a unique amino acid sequence and is composed of an amino acid sequence SEQ. NO: 1: Asp-Glu-Leu-Thr-Pro (DELTP), an amino acid sequence SEQ. NO: 2: Arg-His-Met-Ser-Tyr (RHMST) and the like, and the cardiovascular function is improved by adjusting the phosphorylation level of cardiac troponin I (cTnI).

The invention discloses an ultrasonic image analysis method and an ultrasonic imaging system. The method comprises the following steps: acquiring multiple frames of ultrasonic images of the heart of a target object; automatically determining a myocardial contour of the multi-frame ultrasonic image; at least determining the image quality of the myocardial contour of the multi-frame ultrasonic image; determining a modification priority level of a myocardial contour region of each multi-frame ultrasonic image based on the image quality; and displaying at least one frame of ultrasonic image in the multiple frames of ultrasonic images and the corresponding identification information for identifying the modification priority. According to the ultrasonic image analysis method and the ultrasonic imaging system provided by the invention, the modification priority level of the ultrasonic image is determined, and the ultrasonic image and the corresponding identification information for identifying the modification priority level are displayed, so that the visual prompt for recommending the preferential modification frame is realized, and the operation and use efficiency of a doctor is optimized.

The invention discloses a PET / MR (positron emission tomography / magnetic resonance) all-in-one machine-based dynamic attenuation correction and respiratory and cardiac dual motion correction method. The method comprises the following steps of: generating a dynamic mu graph of a respiratory cycle; mR cardiac function movie sequence scanning of the cardiac cycle; accurately segmenting the cardiac muscle; 6, performing tissue segmentation on the dynamic mu graph; clustering the PET data; pET data space-time registration is carried out; merging PET data of the same time phase; performing frame-by-frame dynamic attenuation correction; respiratory movement correction; correcting a partial volume effect; carrying out myocardial MR image space standardization on different time phases of the cardiac cycle; and carrying out spatial standardization on the myocardial PET image of different time phases in the cardiac cycle. According to the method, the mu graph of the respiration and cardiac cycles is reconstructed through time-phase sharing and is accurately registered with the PET data, so that the high-quality attenuation correction of the heart PET image is realized and the motion correction is completed at the same time.

The invention discloses an echocardiogram myocardial motion estimation method and system based on a structure perception diffusion model, and relates to the technical field of ultrasonic video data processing. The invention aims to solve the problem of myocardial motion estimation in an ultrasonic video. According to the technical key points, the method comprises the following steps: (1) preprocessing collected echocardiogram video data; (2) establishing an echocardiogram myocardial motion estimation model; (3) constructing a diffusion model motion estimation module of structure perception; (4) constructing a spatial adaptive up-sampling module; (5) training the network by using the existing data to obtain a network model; and (6) estimating the myocardial movement of the echocardiogram video by using the trained model. According to the method, the cardiac structure information and the multi-scale correlation contained in the echocardiogram can be fully utilized to automatically estimate the cardiac muscle movement of the echocardiogram, and the accuracy and the robustness of the algorithm are effectively improved.

The invention relates to a myocardial resection area determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a heart scanning image, and determining a heart three-dimensional model according to the heart scanning image; determining a heart short-axis section and a heart long-axis section according to the heart three-dimensional model; the clock direction angle of the scalpel is determined on the short axis section of the heart; based on the clock direction angle, the excision depth of the scalpel is determined on the long-axis section of the heart; and performing myocardial resection on the heart three-dimensional model according to the clock direction angle and the resection depth through a scalpel model, determining an updated three-dimensional model after myocardial resection, and marking a resection area on the updated three-dimensional model. According to the scheme, accurate preoperative planning guidance and comprehensive heart structure information presentation are provided for the myocardial rotary cutting operation, and therefore the accuracy and safety of the myocardial rotary cutting operation are improved.

A mechanical continuous myocardial tissue resection system, comprising: a housing, a resection cavity component, a pull lever component, an axial rotary resection knife component, a tissue locking component, a locking triggering component and an excitation component. The tissue locking component in the system is movably inserted into the resection cavity component and can lock a resection target tissue entering the internal cavity of the resection cavity component from a resection window. The locking triggering component is configured to be capable of locking the tissue locking component and can be triggered to release the locked tissue locking component. The pull lever component is configured to be capable of driving the tissue locking component and locking same with the locking triggering component. The excitation component is configured to be in linkage with the axial rotary resection knife component and the locking triggering component. The system can realize one-time puncture and continuous rotary resection in the state of a minimally invasive incision, thereby achieving precise resection of myocardial tissue.

The invention discloses a myocardial perfusion image classification method and system based on a single resting state, and belongs to intelligent analysis and auxiliary diagnosis of medical images. The method comprises the following steps: acquiring SPECT three-dimensional voxel data in the single resting state, and performing image reconstruction by adopting an OSEM algorithm; segmenting the myocardial region by using a pre-trained U-Net convolutional neural network, and mapping a segmentation result to a two-dimensional polar coordinate graph conforming to the AHA17 segment model; extracting a multi-dimensional feature vector; a single-phase inference model MSR-Net based on biphase labeling is constructed, in the training stage, segment classification labels of resting-load biphase images are used, in combination with segment consistency indexes, label correction is carried out, and in the inference stage, only resting state features are input, and then a pixel-level perfusion defect distribution diagram and ischemia scores of 17 myocardial segments can be output. Quantitative and segmental evaluation of myocardial ischemia can be completed by using single resting state imaging, exercise or drug load examination is avoided, and cardiovascular adverse events and complication risks are reduced.

The invention discloses an irreversible electroporation damage assessment system and method based on myocardial dielectric properties, solves the problem of how to assess damage in a pulsed electric field ablation process, and belongs to the technical field of medical equipment. The system comprises an acquisition module and a workstation, wherein the acquisition module acquires an intracardiac ECG signal, a global electric field voltage signal of a target cardiac cavity, and impedance and temperature between ablation electrode pairs in real time; the work station processes the collected signals to obtain electrocardio characteristics, ablation parameters, temperature between the ablation electrode pairs, impedance drop, contact force and contact state between the ablation electrode pairs and myocardial tissue and ablation electrode position stability, the obtained signals are input into the evaluation model, and the evaluation model outputs IRE injury evaluation classification results. The evaluation model is realized based on a neural network. And real-time measurement and evaluation are carried out on PF ablation injury so as to assist a user to complete comprehensive, objective and accurate evaluation of the ablation effect.

The invention discloses a diluent for whole blood lateral immunochromatography detection as well as a preparation method and a detection method thereof, and belongs to the technical field of immunochromatography detection. The diluent solves the technical problems of unsmooth chromatography, background interference, poor stability of detection results and the like caused by red blood cells during direct detection of whole blood samples. The diluent comprises a buffer system, an osmotic pressure regulator glycine, a nonionic surfactant polysorbate, an erythrocyte aggregation inducer polyvinylpyrrolidone, a dynamic viscosity regulator trehalose, a blocking protein, a stabilizer combination L-methionine and L-histidine, and a composite formula of water. Red blood cells are effectively induced to gather and intercept on the sample pad through the synergistic effect of all the components, and meanwhile the stability of the chromatography process and the activity of the detection reagent are maintained. The diluent is mainly used for lateral immunochromatography quantitative detection of markers such as pro-enkephalin, C-reactive protein, cardiac troponin I or N-terminal pro-brain natriuretic peptide in a whole blood sample.

The invention discloses an organoid culture and flexible fiber sensor integrated platform and a construction method and application thereof. The integrated platform comprises a flexible template, a flexible frame body and a flexible fiber sensor, a culture chamber is formed by the flexible template and the flexible frame body; the flexible fiber sensors are arranged close to the side wall of the culture chamber, and the flexible fiber sensors comprise two types, one type is obtained through self-contraction, and the other type is obtained through twisting after self-contraction. The constructed integrated platform can reproduce the structure of the heart and the mechanical microenvironment of the heart in vitro, meanwhile, simultaneous monitoring of organoid mechanical-chemical signals is achieved in the myocardial beating process, and the limitation that existing organoid mechanical-chemical signals are difficult to synchronize and obtain in real time is broken through.

The invention discloses a cardiac ultrasound image optimization enhancement method based on image filtering, and belongs to the technical field of cardiac ultrasound images. The invention discloses a cardiac ultrasound image optimization enhancement method based on image filtering. The method comprises the following steps: S1, obtaining a cardiac ultrasound binary image; s2, obtaining a to-be-processed cardiac ultrasound image; s3, highlighting the edge characteristics of the vascular wall and the myocardial tissue; s4, obtaining an enhanced cardiac ultrasound image; and S5, obtaining an optimized and enhanced cardiac ultrasound image. According to the method, the problem that the overall consistency judgment of structures such as heart chambers and valves is easily affected in the prior art is solved, the heart disease change area can be displayed more visually, misjudgment caused by noise or low contrast of medical staff is reduced, texture information of different levels can be effectively captured, the recognition capacity of a complex heart structure is enhanced, and the recognition efficiency is improved. Furthermore, the myocardial strain rate, the ventricular volume and other parameters are more accurately quantified, and a reliable basis is provided for evaluating the cardiac function.

The invention belongs to the field of medicines, and relates to a compound derived from Sinkiang lithospermum, a preparation method thereof and application of the compound in prevention and treatment of cardiovascular diseases. Specifically, the invention discloses a monoterpene benzoquinone derivative with a novel structure in Sinkiang lithospermum, a preparation method of the monoterpene benzoquinone derivative and application of the compound in preparation of anti-myocardial injury drugs. An in-vitro anti-myocardial cell injury activity experiment proves that the compound has a remarkable protection effect on isoprenaline (ISO)-induced H9C2 cell (rat embryo myocardial cell) injury and hypoxia-reoxygenation-induced H9C2 myocardial cell injury. The result shows that the compound can be used for preparing the anti-cardiovascular disease medicine.