37 results about "Coronary angiography" patented technology

The invention provides a coronary angiography tree structure, a central line path extraction method, a central line path extraction device, equipment and a medium. The method comprises the following steps: acquiring a coronary angiography image; the coronary angiography image is input to a feature extraction module based on a Vision Transform architecture, and the feature extraction module is used for extracting the coronary angiography image; a feature extraction module based on a Vision Transform architecture is used for extracting multi-scale features; inputting the multi-scale features into an image segmentation decoder and a key point extraction decoder to generate a blood vessel segmentation result and key point coordinates; wherein the key point coordinates comprise a starting point coordinate and an end point coordinate on the path; fusing the key point coordinates, the blood vessel segmentation result and the coronary angiography image to serve as target input information; a center line path is extracted according to the target input information on the basis of a path generation algorithm of Vision Transform; and fusing the center line paths to form a coronary artery tree structure and a path map thereof.

The application discloses a coronary angiography image segmentation method and system based on semantic guidance, and belongs to the field of medical image processing. In view of the problems of semantic inconsistency, easy breaking of blood vessels and easy loss of small branches in multi-scale feature fusion of existing methods, the method of the application extracts multi-scale local structure features through a main encoder, and simultaneously extracts multi-scale original global semantic features by using an image encoder of a pre-trained medical visual basic model; after aligning the multi-scale original global semantic features, the multi-scale original global semantic features are spliced, semantic bases are constructed by performing gate fusion in a unified semantic space; multi-scale semantic reconstruction features matched with each layer of a decoder are generated and decoded by the semantic bases, and the multi-scale semantic reconstruction features are injected into the decoder layer by layer, and the multi-scale local structure features of the encoder are connected by jump connection, so that the features are guided to recover. The application realizes cross-scale semantic consistency modeling, effectively improves the blood vessel connectivity and small branch reservation capability, and is suitable for coronary angiography image segmentation.

This application provides a method, device, equipment, and storage medium for matching vascular centerlines, comprising: acquiring a first vascular centerline in a first coronary angiography image and a second vascular centerline in a second coronary angiography image; for each first vascular center point, determining an initial point pair matching anomaly based on the intersection of the polar line corresponding to the first vascular center point and the second vascular centerline; and determining the second vascular center point to be matched with the first vascular center point based on the intersection of the polar line corresponding to the first vascular center point and the second vascular centerline, and the second vascular center points already matched with the previous first vascular center point. In this way, it is possible to accurately determine an anomaly in the point pair matching of a certain point on the vascular centerline based on the intersection of the polar lines, and to correct the matching relationship based on the intersection and other determined point pairs, thereby re-determining the matching point of the vascular center point.

The invention discloses a contrast agent filtering device for coronary surgery and a using method thereof, the device is integrally in a plastic bag shape and comprises a filtering bag body, the bottom of the filtering bag body is provided with a transfusion connector and a blood transfusion connector which are provided with sealing covers, and an inner opening is sleeved with a filter screen support with a filter screen; the filter bag body is divided into a filter area and an adsorption particle storage area through a middle seal, a flushing connector and a hanging hole are arranged at the top, and the filter bag body can be matched with a vibration disc for use. The use method comprises the steps that blood containing a contrast agent is extracted and input into the filtering area, the middle seal is opened through pressing, the blood makes full contact with the adsorption particles through vibration or manual extrusion so as to adsorb the contrast agent, then the filtered blood is infused back, and residual plasma can be infused back after being diluted with normal saline. The device is simple in structure, low in cost and easy and convenient to operate, the filtering effect is improved by 30% compared with the prior art, the adsorption rate reaches 75%-85%, contrast agents in blood can be effectively removed, damage to the kidney of a patient is reduced, and the device is particularly suitable for blood treatment of the patient after coronary angiography.

The application discloses a coronary angiography blood vessel tracking method and system based on a template matching method, belongs to the technical field of blood vessel image processing, and comprises the following steps: acquiring any adjacent frame angiography image in an angiography sequence, acquiring a sample point sequence, and marking a to-be-reasoned point; judging whether an abnormal point exists in a tracking process or not, marking the abnormal point as a to-be-corrected point; correcting a tracking result of a next frame based on a position of the to-be-corrected point in the Nth frame; reasoning the to-be-reasoned point to obtain a tracked result after reasoning; performing similarity comparison on the position of the tracked sample point in the N+1th frame and the position of the tracked sample point in the Nth frame, if the positions are not similar, then exchanging the tracking result of the sample point, and iterating all sample points according to the process until all sample points are rearranged to obtain a final tracking result. The application solves the problem that the existing technology cannot realize accurate matching of the sample point by simply relying on the template matching, and the problems of missing tracking points, inaccurate positions and disorder of the final sample sequence order.

The invention relates to the technical field of medical apparatus and instruments, in particular to multifunctional forearm hematoma compression equipment for cardiology department patients after coronary angiography, which comprises a base, a first supporting seat, a second supporting seat and the like, and the base is provided with the first supporting seat and the second supporting seat which are respectively used for supporting a forearm and an upper arm; the first supporting base and the second supporting base are each provided with an arc-shaped bearing plate with the concave middle, the ends of the bearing plates are each provided with an elastic fixing band, and the ends of the fixing bands are detachably connected with the bearing plates through buckles. The forearm of a patient is pressed by arranging the height-adjustable sleeve with the elastic piece, the effect of conveniently adjusting the pressing force and improving the experience of the patient is achieved, meanwhile, by arranging the buckle structure at the end of the fixing band, the fixing band can be conveniently tightened and loosened, then an ice bag can be conveniently used for cold compress, and the use effect is good. The forearm pressure of the patient is reduced, and hematoma enlargement is avoided.

The present application relates to a kind of DSA coronary vessel segmentation deep learning method of edge and topological feature, comprising the following steps: obtaining DSA coronary angiography image dataset and corresponding coronary vessel label dataset;Data is input into deep learning network, the deep learning network is end-to-end U type deep learning network, include improved bidirectional Transformer module and multi-scale semantic fusion module, and encoder and decoder are connected by jump connection and multi-scale semantic fusion module;Coronary vessel segmentation model is trained in three stages using the composite loss function comprising Dice loss, Focal loss, edge loss and topological loss, the segmentation model of the training completion can be carried out complete segmentation to the coronary vessel in DSA coronary angiography picture;Using composite evaluation index, the overall segmentation accuracy of segmentation model, edge segmentation accuracy and the ability of keeping topological consistency are comprehensively evaluated.

The application discloses a scale perception progressive learning method for X-ray coronary angiography stenosis segmentation. The technical problem to be solved is how to solve the problem of insufficient segmentation accuracy caused by multi-scale characteristics and small target characteristics in coronary angiography stenosis segmentation. The application combines a scale perception strategy and a progressive feature reservation mechanism to provide a scale perception progressive learning method for X-ray coronary angiography stenosis segmentation. The application significantly improves the segmentation capability of multi-scale stenosis. The scale perception strategy dynamically aggregates context features of different scales, effectively adapts to the scale difference of coronary arteries in XCA images, enhances the sensitivity of the model to subtle stenosis changes, realizes more accurate stenosis boundary delineation, effectively solves the problem of easy loss of small target information, improves the robustness of the model to complex background interference, has stronger generalization capability, can adapt to different devices and imaging conditions, reduces the work burden of doctors and improves efficiency.

A radial artery hemostasis device used after coronary angiography comprises a shell and a threaded rod, the inner wall of the shell is in threaded connection with the threaded rod, a radial artery hemostasis double-fixing structure is arranged on the right side of the outer wall of the shell, the lower end of the threaded rod is rotationally connected with a block through a bearing, and two sliding rods are fixedly connected to the upper end of the outer wall of the block. The outer wall of the sliding rod is in sliding connection with the shell. According to the radial artery hemostasis device used after coronary angiography, through cooperation of a radial artery hemostasis double-fixing structure and a hook-and-loop fastener, the vertical rod is pushed to abut against the ratchet wheel, a tree crown is pulled upwards to be separated from the ratchet wheel, meanwhile, the vertical rod can apply pressure to the spring, and after the arm of a patient is wound and fixed through the bandage, the arm is fixed through the hook-and-loop fastener. The bandage and the wrist of a patient can be doubly fixed through the hanging ring hooks and the hook-and-loop fasteners at the end and the tail end of the bandage, the problem that in the prior art, the bandage is fixed only through the hook-and-loop fasteners, and bleeding is caused by accidental loosening or falling off is solved, and then stability and completeness are effectively improved.

The application provides a bridge vessel segmentation and extraction method, device, system and readable storage medium, wherein position information of an inlet and position information of an outlet of a bridge vessel are acquired based on coronary angiography image data, and a segmentation result of the bridge vessel is acquired; then the segmentation result is screened by using the position information of the inlet and the position information of the outlet of the bridge vessel, so that the bridge vessel is extracted. The application screens the segmentation result by using the position information of the inlet and the position information of the outlet of the bridge vessel, optimizes the segmentation result, improves the accuracy of the extracted bridge vessel, and further improves the accuracy of the prognosis evaluation of the bridge vessel. Moreover, the application can be automatically completed without interaction with a user, and has higher segmentation efficiency and consistency.

The application relates to the technical field of electric field ablation, and particularly discloses an electric field ablation method and an ablation catheter for atherosclerotic plaque, which comprises the following steps: analyzing the lesion degree of a target stenosis site during coronary angiography, and judging whether the target animal needs to be focused on according to the distribution of all stenosis sites and the lesion degree of the stenosis sites; through the analysis of the lesion degree of the target stenosis site, the application is helpful for doctors to accurately diagnose the illness of patients, and is helpful for doctors to understand the severity of the lesion, so that a targeted treatment plan can be made; the analysis of the lesion degree of the stenosis site is also helpful for predicting the illness progress and prognosis of the patients; meanwhile, during the treatment process, the change of the lesion degree of the stenosis site is regularly evaluated, so that the treatment effect can be known; through the judgment of whether the target animal needs to be focused on, the animals with serious illness can be focused on, and the animals needing to be focused on are gathered, so that the resources can be most effectively utilized.

Systems and methods for performing a medical imaging analysis task are provided. One or more input medical images of a patient are received. The one or more input medical images are encoded into embeddings using a machine learning based encoder network. A medical imaging analysis task is performed based on the embeddings. Results of the medical imaging analysis task are output.

The application discloses a kind of coronary angiography calcification identification method, system and storage medium based on deep learning, it is related to medical cardiovascular image processing technical field.The present application comprises the following steps: the comprehensive evaluation of different blood vessel angiography projection position of the to-be-tested coronary artery;According to the CT angiography, mark the calcification lesion on the original digital subtraction angiography image independently;Using U-net neural network combined with focal loss function learning and identifying the marked calcification lesion;The U-net neural network output result is input into the LSTM network to calculate the calcification score.The present application improves the accuracy of coronary artery calcification detection and improves the prediction performance of machine learning algorithm.

Disclosed in the present invention is a method for monitoring a blood vessel and a stent in the blood vessel, comprising: acquiring a target blood vessel fusion image of a target blood vessel at a preset angle, wherein the target blood vessel fusion image is an image obtained by fusing a CT angiography image and an X-ray coronary angiography image of the target blood vessel, and the target blood vessel fusion image comprises tunica media features; at the preset angle, acquiring stent radiographic images of a stent at different positions during the movement of the stent in the target blood vessel; segmenting the stent radiographic images to obtain stent segmented images; and performing fusion display on the target blood vessel fusion image and the stent segmented images to obtain a multi-modal fused image of the target blood vessel and the stent. By means of the method, the display of tunica media features in a target blood vessel on an image is fully considered, so that the condition of the stent in the blood vessel can be more clearly observed from the image. Further disclosed in the present invention are an apparatus for monitoring a blood vessel and a stent in the blood vessel, an electronic device, and a computer-readable storage medium.

The application discloses a novel OCT space reconstruction method, which comprises the following steps: acquiring multiple coronary angiography image data at different angles; extracting coronary angiography images at the same moment in different cardiac cycles from the coronary angiography image data acquired at each angle; extracting a blood vessel skeleton according to the coronary angiography images; in the process of extracting the blood vessel skeleton, the coronary angiography images at different angles are included; multi-view stereo matching is performed by using deep learning, and matching correction is performed by using an epipolar geometry algorithm; a three-dimensional blood vessel skeleton is acquired according to the coronary angiography images after the matching correction; coronary OCT sequence images are acquired, and rearrangement is performed in combination with the direction of the three-dimensional blood vessel skeleton; body rendering is performed on the rearranged images, and a three-dimensional space model with a real posture is rendered. The method realizes prediction of invisible parts and guarantees the correctness of three-dimensional reconstruction of visible parts, and provides a data basis for screening of vascular deformity and the like in the later stage.

The utility model discloses an elastic bandage for wrist bandaging after coronary angiography, which comprises an elastic bandage, the side of the elastic bandage is provided with a protection mechanism for supporting the wrist of a patient and a sealing mechanism for sealing and protecting the protection mechanism, and the protection mechanism comprises a protection pad. The back face of the protection pad is fixedly connected with a buffering pad, and the buffering pad is used for being attached to the wrist of the patient so as to carry out pressure-proof protection on hand holding of the patient. Through grooves communicating with an inner cavity of the operation groove are formed in the back faces of the operation groove and the buffering cushion. The protection pad, the buffering pad, the first adhesive tape, the second adhesive tape and the sealing mechanism are matched with one another, the buffering pad is attached to the wrist of the patient, the protection pad, the first adhesive tape and the second adhesive tape enable the buffering pad to be wound around the wrist of the patient, and the elastic bandage is wound around the outer portion of the protection pad; therefore, pressure protection between the wrist of the patient and the elastic bandage is facilitated, and comfort of the wrist of the patient is improved.

The invention provides a blood vessel stenosis lesion position detection method and related equipment, and the detection method comprises the following steps: obtaining a coronary angiography image sequence to be detected, the coronary angiography image sequence comprising multiple frames of images; and marking a lesion detection frame for each frame of obtained image through the trained detection neural network, and outputting a detected coronary angiography image sequence. Wherein the lesion detection frame marks at least one of the lesion position, the score representing the lesion probability and the lesion type. According to the invention, the position of the lesion can be found more conveniently and accurately, and reference is provided for a treatment scheme.

The invention discloses a coronary DSA image-based PCI drug balloon surgery effect prediction method and device, computer equipment and a storage medium, and relates to the field of PCI drug balloon postoperative effect prediction, and the method comprises the steps: obtaining preoperative coronary digital subtraction angiography image data of a patient, executing quantitative coronary angiography analysis, and determining the effect of the PCI drug balloon surgery. The method comprises the following steps of: constructing a multi-modal characteristic data set as model input, inputting the multi-modal characteristic data set into a pre-trained machine learning model, and outputting a postoperative effect prediction result of vasodilation gain after drug balloon implantation. According to the method, predicting and evaluating the postoperative immediate effect and long-term effect of drug balloon implantation of a patient by integrating multi-modal clinical data; the point estimation and confidence interval of the expansion gain are directly output, and the sensitivity prompt is given, so that pilot-scale trial and error are reduced, the operation and perspective time is shortened, contrast agent and radiation exposure is reduced, accurate landing of the interventional non-implantation concept is promoted, and the interventional non-implantation operation process can be guided and planned in the whole process.

The invention discloses a scale perception progressive learning method for narrow segmentation of X-ray coronary angiography. The technical problem to be solved is how to solve the problem of insufficient segmentation precision caused by multi-scale characteristics and small target characteristics in coronary angiography narrow segmentation, and the scale perception progressive learning method for X-ray coronary angiography narrow segmentation is combined with a scale perception strategy and a progressive characteristic retention mechanism. According to the method, the segmentation capability of multi-scale stenosis is remarkably improved, context features of different scales are dynamically aggregated through a scale perception strategy, scale differences of coronary arteries presented in an XCA image can be effectively adapted, the sensitivity of a model to tiny stenosis changes is enhanced, more accurate stenosis boundary description is achieved, and the method is suitable for the XCA image. The method effectively solves the problem that small target information is easy to lose, improves the robustness of the model to complex background interference, has stronger generalization ability, can adapt to different equipment and imaging conditions, reduces the workload of doctors, and improves the efficiency.

The invention provides a coronary angiography image-based end-diastolic recognition method and related equipment, and the method comprises the steps: collecting a plurality of frames of coronary angiography images to construct a coronary angiography sequence which at least comprises coronary angiography images of two cardiac cycles; the coronary angiography sequence is input into a trained recognition model for probability prediction of the end diastole to obtain a probability sequence, and the recognition model is used for extracting spatial features and time sequence features of each frame of image, calculating attention between frames and outputting a probability value of each frame of coronary angiography image belonging to the end diastole, the end-diastole image is an image with most dispersed blood vessels in the cardiac cycle, and the probability value of the end-diastole image is maximum; and extracting a wave crest from the probability sequence output by the recognition model by adopting a wave crest extraction algorithm, wherein the coronary angiography image corresponding to the wave crest is the end-diastole image. According to the method, the end-diastole prediction can be carried out on the coronary angiography sequence image, the accuracy is high, the generalization ability is high, and the robustness is good.

The utility model relates to the technical field of medical instruments, in particular to an ice compress device after coronary angiography, which comprises an ice compress component, the ice compress component comprises a first cylinder and a second cylinder, a first baffle is formed on the first cylinder and divides the space in the second cylinder into a first chamber and a second chamber, the first chamber is closed, and the second chamber is closed. An air vent and a switch are arranged on the second barrel, the air vent is communicated with the first cavity, and an air hole is formed in the bottom of the second barrel; a reset spring is connected between the first barrel body and the second barrel body; the first cylinder is used for storing a cooling medium. According to the ice compress device used after coronary angiography, the purposes of avoiding excessive ice compress and skin and tissue frostbite can be achieved when a patient is in an ice compress state and is in a sleep state, and medical staff do not pay attention to the ice compress condition of the patient in the first time due to shortage of the medical staff in a hospital.

The invention belongs to the field of hemostasis equipment, and particularly relates to a coronary angiography far-end radial artery path hemostat which comprises a flexible positioning belt, and an air bag type pressure mechanism is arranged on the positioning belt. The air bag type pressure mechanism comprises an outer-layer liner, an inner-layer liner and a main compression air bag, and the outer-layer liner and the inner-layer liner are both fixedly connected with the positioning belt; the top of the main compression air bag is fixedly connected with the outer layer liner, the main compression air bag is connected with a precise air pump, and the bottom of the main compression air bag is fixedly connected with the inner layer liner. The top of the main compression air bag is positioned by the outer-layer liner, the bottom of the main compression air bag is positioned by the inner-layer liner, during hemostasis, the main compression air bag expands, the outer-layer liner and the inner-layer liner are tensioned, rigidity is improved, the position stability of the main compression air bag can be improved, the main compression air bag is prevented from deviating from a puncture point due to movement of the hand of a patient, and the hemostasis effect is guaranteed.

1. Name of the product in this design: A three-dimensional imaging window for a graphical user interface for registering and fusing coronary CTA and coronary angiography image information in electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the content displayed on the user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: The graphical user interface is used to display the image information fusion after the registration of coronary CTA and coronary angiography images, which facilitates the simultaneous observation of information on coronary vessels and plaque components in different modalities and dimensions, thereby providing guidance for clinical analysis or surgery. In the main view, click the "Volume Render View" button at the top of the "CT 3DView" area to enter the interface change state shown in Figure 1. In the interface change state diagram 1, click the "MIP Mode" selection box at the bottom of the "CT 3DView" area to enter the interface change state diagram 2. 6. Other situations requiring explanation: This design is a partial protection design, wherein the part outside the red semi-transparent covered area is the part for which the design patent is sought.

The present disclosure provides concepts for generating a coronary segmentation of a heart of a subject. In particular, a coronary angiography image of at least a part of the heart of the subject, and probabilistic maps describing expected paths of a plurality of vessels of the heart of the subject and expected vessel endpoint regions of the plurality of vessels, are obtained. A coronary segmentation is generated based on the coronary angiography image and the probabilistic maps, wherein the coronary segmentation represents a detected path of a plurality of vessels of the subject, and detected vessel endpoint regions of the plurality of vessels. Additionally, based on the probabilistic maps, and for vessels amongst the plurality of vessels of the coronary segmentation, a likelihood value is assigned that indicates whether the detected vessel endpoint of the respective vessel represents an actual endpoint location of the respective vessel.

This application relates to the field of medical device technology and discloses a visual navigation coronary angiography guidewire assembly and its usage method. The main body of the assembly has a maximum outer diameter of no more than 0.36 mm and includes a guidewire body and a visual navigation unit integrated within it. The guidewire body consists of a proximal high-rigidity section and a distal flexible transition section. The core wire accommodates signal transmission lines through surface axial grooves or an internal hollow tube structure. A miniature sensor is fixed to the guidewire tip and communicates with an external processing terminal through a detachable proximal connection interface for real-time reconstruction of the tip's three-dimensional coordinates and orientation. This invention solves the problem of traditional X-ray fluoroscopy lacking depth information, achieving the integration of mechanical guidance and multimodal navigation. It ensures that the guidewire retains the axial support required to pass through stenotic lesions while possessing intravascular navigation capabilities, avoiding the problems of guidewire thickening or decreased mechanical maneuverability caused by integrated sensors.

1. The name of the design product: arm support bracket (left radial puncture for coronary angiography). 2. The use of the design product: support and fix the arm and adjust the direction when performing left radial puncture for coronary angiography. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application provides a blood vessel contour generation method, a blood vessel contour generation device, equipment and a storage medium. The method comprises the following steps: acquiring a blood vessel center line and an initial blood vessel contour of a target blood vessel in a coronary angiography image; determining a convex interval on the initial blood vessel contour based on the blood vessel center line and the initial blood vessel contour; for each convex interval, correcting a convex blood vessel contour corresponding to the convex interval based on blood vessel contours before and after the convex interval on the initial blood vessel contour to obtain a target blood vessel contour of the target blood vessel. In this way, the convex blood vessel contour on the initial blood vessel contour can be accurately located and corrected and optimized, so that a more accurate blood vessel contour can be quickly generated, which is helpful for subsequent blood vessel analysis.

The utility model provides a pressing device for cardiovascular coronary angiography. The pressing device comprises a supporting unit and a pressing unit, the telescopic rod is arranged on the supporting unit; the pressure plate is arranged at the output end of the telescopic rod; wherein the pressure plate comprises a first sleeving ring, a second sleeving ring and a fixing disc, the output end of the telescopic rod is connected with the top of the fixing disc, and the second sleeving ring is arranged on the outer wall of the fixing disc in a sleeving mode and is in sliding connection with the fixing disc. When the contact area between the pressure plate and the body of a patient is adjusted according to the requirements of different patients, firstly, a worker holds a handle, takes out a positioning clamping pin, then pulls the handle upwards to drive a sliding column to move upwards, and drives a first sleeving ring to move upwards through the sliding column and a connecting strip, so that the first sleeving ring is not in contact with the body of the patient; the effect of reducing the contact area is achieved, and a worker can adjust and use conveniently.

This invention relates to an unsupervised coronary angiography segmentation method that solves the problems of missing structural information and annotation dependence in two-dimensional segmentation. The method includes the following steps: First, a three-dimensional implicit representation space is constructed based on EG3D, and its neural radiation field is used to model the three-dimensional topology of blood vessels. Second, a dual-channel adversarial generation architecture is designed, and adversarial training between parallel foreground and background generators achieves decoupling of vascular and non-vascular features. Then, combining the multi-angle projection characteristics of angiography, a three-dimensional attention fusion module is used to constrain the geometric consistency of multiple views. Next, a domain-adaptive encoder is developed to embed real images into the EG3D latent space, achieving geometric feature alignment between the real and synthetic domains. Finally, the implicit three-dimensional representation is converted into multi-view projection through differentiable volume rendering, and the foreground generator outputs a spatially continuous three-dimensional blood vessel segmentation mask. This invention can generate three-dimensional structural segmentation maps of blood vessels in coronary angiography under unsupervised conditions.

The application discloses a kind of coronary microvascular disease blood flow reserve acquisition methods based on improved Unet, belong to medical technical field, including the following steps: step S1: obtaining coronary angiography sequence data;Step S2: select the angiography main blood vessel section that needs to be analyzed, utilize the segmented model of depth learning trained to main blood vessel, obtain four frame segmentation images of angiographic agent start filling blood vessel section and full blood vessel section under resting and hyperemia state;Step S3: the image after segmentation is extracted blood vessel center line and based on topological structure limit correction breakpoint, generate continuous and accurate blood vessel center line;Step S4: calculate main blood vessel center line length, according to the frame number used by angiographic agent full blood vessel in sequence calculate blood flow velocity;Step S5: the ratio between blood flow velocity under hyperemia and resting state is obtained by calculation coronary blood flow reserve.The application can be quickly and accurately obtained coronary blood flow reserve based on improved UNet segmentation network only through coronary angiography sequence, can effectively simplify detection step and improve detection efficiency.