332 results about "Mr angiography" patented technology

The invention relates to an ischemic cerebrovascular disease angiography image segmentation analysis method, which comprises the following steps: detecting gray transition abnormity, structural fracture and artifact delay signals in an angiography image, extracting negative segmentation priori points indicating a suspected ischemic area, aggregating to form a priori abnormal area, introducing a symmetric disturbance test mechanism, and analyzing the angiography image according to the priori abnormal area. Judging a potential blocked or abnormal blood vessel segment, and dynamically adjusting the segmentation threshold of the region; establishing a local interference window in the judgment region, extracting frequency and rhythm features of density stripes, and performing compensation segmentation on interrupted blood vessel segments caused by unsteady pulse change through a convolution kernel scaling strategy; calculating a texture difference value and a frequency domain response offset, if the offset is within a preset physiological tolerance range, triggering an interpolation completion mechanism, and generating a credible completion layer for subsequent calibration reference; and performing dynamic feedback adjustment and continuous calibration on the previously segmented path by analyzing the multi-path divergence degree of the vascular branch end point and the path offset change in the image sequence.

The invention discloses an ultrasonic positioning microscopic imaging method and system based on joint resolution perception and vision Mangbar, and the method specifically comprises the steps: obtaining and preprocessing a plurality of modal angiography data, generating a microbubble motion sequence in combination with blood flow velocity field simulation data, and constructing a data set; inputting the data set into a mixed hierarchical feature pyramid fusion network, carrying out probability density estimation on a microbubble position based on a real-time multi-scale density field estimation algorithm, and introducing a resolution perception algorithm to enhance microbubble features to obtain a plurality of short-track images; performing dynamic feature decoupling and time-frequency analysis on the short-track image, extracting and encoding velocity component features and spatial-temporal context information of a vascular structure, and constructing a double-branch processing network based on visual Mangbar to obtain images respectively reflecting forward motion contribution and backward motion contribution, and finally generating a high-resolution blood vessel image through image fusion. The method has an important value for improving the efficiency and precision in microvascular imaging.

The invention discloses a binocular X-ray guide wire three-dimensional positioning method, a binocular X-ray guide wire three-dimensional positioning device and binocular X-ray guide wire three-dimensional positioning equipment based on epipolar geometry and a storage medium. The method comprises the steps that two to-be-processed images collected by two X-ray scanning devices in the biplane digital subtraction angiography system for a target object in a guide wire intervention state are acquired, and the to-be-processed images comprise intervention guide wires; conducting guide wire positioning on the two to-be-processed images based on projection matrixes which are obtained through pre-calibration and respectively correspond to the two X-ray scanning devices, and determining path information of the interventional guide wire, the path information comprising first position information of the interventional guide wire; obtaining an expected path of the interventional guide wire, and determining an offset error of the interventional guide wire based on expected position information of the interventional guide wire in the expected path and the first position information; the expected path of the intervention guide wire is updated based on the offset error, accurate positioning of the intervention guide wire and updating of the expected path are achieved, and accurate data support is provided for subsequent treatment.

Example systems and techniques are disclosed that may determine at least one treatment strategy for a lesion. An example system may include memory configured to store clinical guidance and / or informatics for a PCI procedure and processing circuitry communicatively coupled to the memory. The processing circuitry may be configured to determine the plurality of treatment pathways. The processing circuitry may be configured to obtain angiogram imaging data of a coronary vasculature of a patient. The 2024 / 058837 processing circuitry may be configured to determine the clinical guidance and / or informatics based at least in part on the angiogram imaging data. The processing circuitry may be configured to output for display the angiogram imaging data and at least a portion of the clinical guidance and / or informatics, wherein the at least a portion of the clinical guidance and / or informatics is overlaid onto the angiogram imaging data.

The invention discloses a cardiovascular intervention catheter storehouse scheduling system based on demand analysis, and relates to the technical field of medical informatization, and the system comprises a data collection module which is used for obtaining an operation plan, a doctor identifier, a step sequence and an angiography image; the feature extraction module is used for generating a situation feature vector according to the contrast image; the standard deduction module is used for deducing subsequent steps and corresponding catheter sets; the selection probability calculation module is used for querying a doctor preference knowledge base in combination with the doctor identifier, the step code and the feature vector to obtain catheter selection probability distribution; the first judgment module is used for outputting a predicted catheter model if the catheter selection probability exceeds a first threshold value, otherwise, counting the catheter use frequency of the historical data of the doctor; the second judgment module is used for outputting the corresponding catheter model if the use frequency exceeds a second threshold value, otherwise, determining a predicted catheter model from the standard catheter set according to a rule; the accuracy and clinical suitability of catheter prediction can be improved.

The invention discloses a medical image optimization method and system based on vascular branch selective blurring. The method comprises the following steps: carrying out preprocessing and blood vessel enhancement on a three-dimensional angiography DICOM image; performing precise blood vessel segmentation by using an encoder-decoder network comprising a wide activation and residual cavity space pyramid module; identifying an interference branch which shields the target blood vessel structure at a specific working angle through blood vessel topology analysis; selective blurring repair is performed on the interference branches based on a Poisson equation and a bidirectional convolution LSTM to generate an optimized image which is visually unobstructed and keeps topological continuity. And a safety mechanism of virtual-real combined display and multi-angle plan planning is introduced, so that the reliability of surgical navigation is ensured. And finally, integrating the optimized 3D blood vessel model to a radiography system supporting real-time synchronization, and using the 3D blood vessel model as a road map. The clinical problem that the optimal working angle cannot be used due to blood vessel shielding can be effectively solved, and the precision and safety of an endovascular interventional operation are remarkably improved.

The invention discloses a blood vessel inner diameter correction method and device based on an X-ray total attenuation conservation principle and a storage medium, and belongs to the technical field of medical image processing. The core of the method is to discover and utilize the total net attenuation of a blood vessel filled with a contrast agent in an actual motion state and the total net attenuation of the blood vessel in an ideal static state to be kept in conservation. The method comprises the steps that an angiography image is acquired, and a target area and an initial inner diameter measuring line are determined; calculating the gray scale decline amount and the maximum value of each pixel of the line; on the basis of the conservation principle, the inner diameter of the blood vessel in an ideal state is inversely calculated through the formula that the inner diameter is corrected to be equal to sigma [(delta Ii / delta Imax) * Li]. Furthermore, based on the same principle, the method can be expanded and applied to correction of the two-dimensional contour of the target blood vessel. According to the method, errors caused by motion artifacts and resolution limitation are fundamentally compensated through a volume measurement method based on integration and distribution, and the method is particularly suitable for accurate measurement of severe stenosis blood vessels.

The invention relates to the technical field of blood vessel stenosis grading, in particular to a blood vessel stenosis degree grading system based on coronary angiography images. The method comprises the following steps: dividing a vascular skeleton line of an angiography image into vascular segments based on a bifurcation point, and determining a stenosis point on the vascular segment according to the blood flow velocity difference of the vascular segment at the front edge position of a contrast agent in each frame of angiography image and a neighborhood angiography image; according to the blood vessel diameter difference between each bifurcation point and the other bifurcation points and the distance between the other bifurcation points and the main blood vessel section, a reference adaptation degree is obtained, a reference point of each bifurcation point is selected, and according to the blood flow speed difference between each bifurcation point and the branch blood vessel section of the reference point and the reference adaptation degree, narrow points in the bifurcation points are screened; and grading the blood vessel stenosis degree based on the blood vessel diameter of the stenosis point. The blood vessel skeleton line is divided into two conditions of the blood vessel segment and the bifurcation point to analyze the blood vessel physiological stenosis position, and the accuracy of positioning the pathological stenosis position in the coronary artery is improved.

The present invention relates to the technical field of medical image processing, and disclosed are a method and device for calculating blood flow at any position of a blood vessel tree. The method comprises: acquiring angiography image sequences, and performing structure extraction on images in the angiography image sequences to obtain two-dimensional blood vessel skeleton lines; performing three-dimensional reconstruction on the basis of the two-dimensional blood vessel skeleton lines to obtain a three-dimensional blood vessel model; determining a corresponding target blood vessel area on the basis of the three-dimensional blood vessel model, and calculating corresponding average blood flow in the target blood vessel area on the basis of transfer frame quantities corresponding to the angiography image sequences; reconstructing a reference blood vessel diameter on the basis of a corresponding blood vessel diameter in the target blood vessel area, and determining a blood vessel stenosis area on the basis of the blood vessel diameter and the reference blood vessel diameter; and calculating corresponding target blood flow at a target position in the target blood vessel area on the basis of the blood vessel stenosis area and the average blood flow. According to the present invention, blood flow at any position of blood vessels can be accurately calculated.

The invention relates to the technical field of medical image processing and interventional therapy assistance, and discloses an intubation fluorescent image feature learning system for hepatic artery chemoembolization. Comprising an image acquisition module which is configured to acquire a distortionless two-dimensional fluorescent blood vessel image in a hepatic artery chemoembolization super-selective intubation process; the control module is used for extracting surface geometric features of the blood vessel from the two-dimensional fluorescent blood vessel image; inputting the surface geometric features to a preset spatial reasoning model, and outputting a spatial distribution probability matrix of each blood vessel part; capturing a difference signal between the spatial distribution probability matrix and angiography feedback data in an actual intubation process in real time, and forming an iterative training data set to optimize the spatial reasoning model; and identifying a potential complex blood vessel region according to the spatial distribution probability matrix, generating an intubation path early warning signal, and generating guide parameters of X-ray release opportunity and dose based on the early warning signal so as to reduce radiation exposure.

The invention belongs to the technical field of DSA, and discloses a DSA platform-based multi-state real-time multi-mode image accurate fusion method. After an angiography image is collected on the basis of DSA equipment under the motion condition, accurate DSA blood vessel subtraction image enhanced display is achieved, meanwhile, hepatic artery extraction in a three-dimensional image in preoperative CT is completed, dynamic intelligent fusion of a precise anatomical structure in a preoperative multi-mode CT image and intraoperative local blood vessel development is combined, and the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion is achieved. The intrahepatic lesions and important blood vessels are accurately and visually displayed, operation planning is completed, fusion of three-dimensional information and two-dimensional DSA is utilized, and transvascular and percutaneous interventional operations are accurately guided.

The invention relates to the technical field of image processing, and discloses an interventional navigation method and system based on multi-modal image fusion. The method comprises the following steps: segmenting CT angiography data to form a three-dimensional vascular skeleton model, calculating MRI perfusion data to generate a vascular flow velocity field, and constructing a vascular geometric constraint matrix; performing diffusion reconstruction on the constraint matrix and the instrument position information, and outputting an instrument motion prediction track; estimating the postures of the tips of the X-ray perspective imaging instruments to form instrument-blood vessel space correlation features; safety navigation constraint parameters are generated through distance field calculation; and generating a real-time navigation instruction containing a propulsion distance and a rotation angle by adopting a path planning algorithm. The technical problems that in a traditional interventional navigation system, multi-modal image data fusion is insufficient, instrument motion prediction is inaccurate, and a safety constraint mechanism is incomplete are solved, and the precision, safety and real-time performance of interventional operation navigation are improved.

Systems and methods are provided for performing optical coherence tomography (OCT) angiography for the rapid generation of en-face images. According to one example embodiment, differential interferograms obtained using a spectral domain or swept source OCT system are convolved with a Gabor filter, where the Gabor filter is computed according to an estimated surface depth of the tissue surface. The Gabor-convolved differential interferogram is processed to produce an en-face image, without requiring the performing of a fast Fourier transform and k-space resampling. In another example embodiment, two interferograms are separately convolved with a Gabor filter, and the amplitudes of the Gabor-convolved interferograms are subtracted to generate a differential Gabor-convolved interferogram amplitude frame, which is further processed to generate an en-face image without performing a fast Fourier transform and k-space resampling. The example OCTA methods disclosed herein are shown to achieve faster data processing speeds compared to conventional OCTA algorithms.

The invention relates to the technical field of control of intelligent implanted medical instruments, and discloses an aneurysm neck sealing system and a control method. Digital subtraction angiography is adopted to measure the neck diameter in multiple directions, an average value is calculated, the target neck sealing radius is set by combining the size of an embolism device, and it is ensured that instrument type selection is scientific and reasonable. The triggering temperature and recovery kinetics of the shape memory polymer are determined through a constant-temperature experiment, an actual expansion radius model is established, and quantitative control over the heating process is ensured. A heat balance model is established by using the heat capacity and cooling curve of the embolism device, and temperature rise and heating power expressions are deduced, so that fine regulation and control of temperature and power are realized. And natural cooling is performed after heating to a set terminal point, the plugging effect is evaluated in real time through iconography measurement, and compensation heating or model replacement is performed according to actual differences to ensure the plugging effect.

The invention discloses a deep learning time sequence alignment method and system for a multi-view asynchronous sequence image, and the method comprises the following steps: carrying out the image screening of a multi-view asynchronous collected angiography sequence, and constructing a short sequence composed of three frames of continuous images; the method comprises the following steps of: extracting a backbone network by adopting an OfficientNet-B0 as a feature extraction backbone network, removing a classification head of the feature extraction backbone network, replacing the classification head with identical mapping, outputting convolutional features, and performing network optimization in combination with a soft dynamic regularization alignment loss function (soft DTW); extracting a feature vector describing the heart cycle progress through a network; calculating the cosine similarity of the feature vectors among different view angles, constructing a similarity matrix, and searching an optimal alignment path in the similarity matrix by using a soft dynamic time warping algorithm; and outputting a time sequence alignment frame and a corresponding similarity score according to the optimal alignment path. According to the method, the multi-view asynchronous sequence image can be effectively processed, time sequence alignment is realized, and a reliable alignment basis is provided for cardiovascular image analysis.

The invention discloses a digital subtraction angiography system and method based on gesture control. The DSA system provided in the present specification comprises: a gesture sensing container for accommodating a body part on which a user makes a gesture; the image acquisition equipment is used for acquiring an image of an area including the gesture sensing container under the condition that an acquisition instruction is received; the central processing equipment is used for sending the acquisition instruction to the image acquisition equipment under the condition that a gesture acquisition event is triggered, identifying gesture information from an image acquired by the image acquisition equipment, and generating a control instruction according to the gesture information; and the DSA equipment is used for collecting in-vivo information of the patient, generating a corresponding medical image and moving under the control of the control instruction. According to the system, on the basis that gesture control replaces a traditional operation mode, the safety of the operation environment is guaranteed to the maximum degree, the operation complexity of DSA equipment is simplified, and the probability of accidents in the operation process is reduced.

The invention discloses a vascular morphological parameter calculation method and system for a single angiography image, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring an angiography image, preprocessing the angiography image, and segmenting the angiography image into a plurality of target vascular segments; correcting the two-dimensional diameter of the target blood vessel segment to obtain the three-dimensional diameter of the target blood vessel segment; correcting the two-dimensional length of the target blood vessel segment to obtain a spatial three-dimensional length; a diameter-length curve is constructed based on the three-dimensional diameter and the spatial three-dimensional length of the target blood vessel segment, and the morphological parameters of the target blood vessel are calculated by using a moving average method. The three-dimensional diameter and the three-dimensional length of the target blood vessel segment are obtained through correction, morphological parameter calculation is carried out, accurate blood vessel morphological parameter information can be obtained through a single angiography image, overall calculation is simpler, and clinical usability is higher.

Disclosed is a medical imaging system, including a processor circuit configured for communication with an x-ray imaging device movable relative to a patient and an intravascular catheter or guidewire sized and shaped for positioning within a blood vessel of the patient, wherein the processor circuit is configured to receive a first angiographic image of a first length of the vessel and a second angiographic image of a second length of the vessel, wherein the first image is obtained at a first position and the second angiographic image is obtained at a second position. The processor is further configured to generate a roadmap image of a combined length of the blood vessel by combining the first image and the second image, and to receive intravascular data associated with the blood vessel, and to co-register the intravascular data to corresponding locations in the roadmap image; and output the roadmap image and a graphical representation of the intravascular data at the corresponding locations in the roadmap image.

A computer-implemented method of processing repeat B-scans of an imaged region of a body part, the imaged region including an anatomical feature in a first subregion and vasculature of interest in a second subregion of the imaged region, to generate cropped B-scans for use in generating OCT angiography data which provides a representation of the vasculature of interest, the method comprising processing each B-scan of the repeat B-scans by: selecting a subset of the data elements of the B-scan such that the selected data elements are distributed along a representation of the anatomical feature in the B-scan; using the selected data elements to define a respective subregion of interest in the B-scan, which includes OCT data acquired from the second subregion containing the vasculature of interest; and cropping the B-scan to leave the subregion of interest in the B-scan.

A method of performing 3D vessel tree reconstruction includes providing segmented binary angiography images, applying a distance transform to the images, and generating distance transformed binary angiography images. The set of distance transformed binary angiography images are provided to a trained 3D vessel reconstruction machine learning model capable of reconstructing 3D vessels. The 3D vessel tree reconstruction machine learning model includes a multi-stage convolutional neural network comprising a multi-stage architecture with (i) a vessel centerline stage, and (ii) a radius reconstruction stage. Resultant 3D reconstructed vessel trees may be used in performing clinical assessment of coronary vessel health, and occlusion.

The invention relates to an angiography image processing method based on dynamic sequence inter-frame difference, which comprises the following steps of: calculating an inter-frame difference image of a current frame It and a previous frame It-1 by inputting dynamic sequence angiography image frames I0, I1... It; and then, calculating a reference difference image of the current frame It and the initial frame I0, and carrying out threshold noise reduction processing on the Dt (x, y) sum to obtain a denoised frame difference image D't and finally synthesize a current frame difference blood vessel image. Therefore, the method has the dose advantage, the single scanning dose is remarkably reduced compared with a traditional scheme, and the vascular signal-to-noise ratio is remarkably increased. Real-time image display can be achieved, acceleration is conducted through a GPU in DSA equipment, the processing speed can reach 30 ms / frame, and the requirement for real-time navigation of interventional operation is met.

The invention belongs to the technical field of medical instruments, and particularly relates to a full-catheter aortic root repair system and an implantation method.The full-catheter aortic root repair system comprises an aortic valve ring, an arch-shaped cambered surface is arranged on the upper surface of the aortic valve ring, a through hole is formed in the upper surface of the arch-shaped cambered surface, and a branch vein frame is fixedly installed in the through hole in the top of the arch-shaped cambered surface; the grid end of the frame body, the kidney-shaped frame block and the aortic valve ring are tightly connected, the positioning side lugs and the branch pulse frame are cooperatively positioned, it is ensured that the system stably fixes and supports valve leaflets at the root of the aorta to be matched with the deformation cavity A, normal aortic valve opening and closing can be accurately simulated, one-way flow of blood is guaranteed, and the branch pulse frame can be accurately aligned with a coronary artery opening; meanwhile, during the operation, the shape of the containing membrane flap can be adjusted through angiography monitoring in combination with a control silk thread, accurate covering and sealing of a lesion area are achieved, complications such as perivalvular leakage are effectively reduced, and the treatment effect of aorta root diseases and long-term prognosis of patients are remarkably improved.

The present application provides a kind of optical angiography based on optical coherence tomography, first by optical coherence tomography system to biological tissue B scanning and C scanning, obtains three-dimensional structure image.The interference spectrum of each A scanning signal of B scanning is preprocessed, and the interference spectrum is decomposed into N sub-interference spectrum signals, N is greater than or equal to 2.Fourier transform is carried out to the sub-interference spectrum signal, and N groups of structure map data at the same position are obtained.Speckle variance is solved to N groups of structure map data, and speckle variance is averaged in depth direction.Compared with prior art, the present application angiography method does not need to repeat signal acquisition at the same position, greatly improves the acquisition speed of system, and can avoid the interference of traditional optical coherence tomography angiography system on reconstructed image caused by living sample shaking.

The invention relates to the technical field of image enhancement, in particular to an angiocardiography high-precision angiography enhancement method and system. The method comprises the steps that an ECG curve of electrocardiosignals before and after contrast agent injection of a patient and a blood vessel image are obtained; determining the compressible degree of each wave band according to the change of different wave bands and the change of the heart rate in the QT interval before and after the contrast agent is injected; determining the increment duration of each wave band in combination with the standard duration, the actual duration and the compressible degree; performing standardized adjustment on the ECG time phase of each frame of blood vessel image in combination with the increment time length and the actual time length of each wave band to obtain a standard time phase; determining a mask matched with each negative film according to the standard time phases of the negative films and the masks; and carrying out image subtraction on each negative film and the matched mask, and carrying out angiography enhancement processing. The blood vessel imaging precision after digital subtraction can be improved, the blood vessel artifact phenomenon is reduced, and the blood vessel imaging precision and reliability are enhanced.

The application relates to a vibration suppression method, device and angiography system. The method comprises the following steps: determining a vibration factor of a gantry according to current dynamic characteristics of the gantry; determining a speed change time according to a current motion speed of the gantry, a target speed and the vibration factor; planning the motion speed of the gantry according to the speed change time, and controlling the gantry to move at the planned motion speed. The vibration suppression method provided by the application has low cost and low calculation complexity in the process of suppressing the vibration of the gantry.

The invention belongs to the technical field of angiographic contrast agents, and particularly relates to an angiographic contrast agent for corpses and a preparation method of the angiographic contrast agent. The angiographic contrast agent for the corpse is prepared from the following components in parts by mass: 20 to 35 parts of iodine-containing polymer, 30 to 50 parts of iodo-benzene ring compound, 90 to 150 parts of glycerol triacetate, 30 to 40 parts of dimer acid and 600 to 800 parts of liquid paraffin, the iodine-containing polymer is obtained by copolymerizing (methyl) C4-6 alkyl acrylate, polyethylene glycol diacrylate and an iodine-containing monomer, and the iodine-containing monomer is selected from at least one of 3-iodine-ethyl acrylate, 3-iodine-methyl acrylate and (methyl) iodobenzyl acrylate. The blood vessel contrast agent disclosed by the invention can realize an excellent blood vessel contrast effect on a corpse, can also obtain a relatively ideal contrast effect for a corpse with relatively long death time, and provides powerful support for the corpse work.

The present disclosure provides to generate ground truth data for training a machine learning (ML) model to infer pressure information (e.g., a pressure curve, a pressure ratio, or the like) for a cardiac artery from border segmentations generated from images of the cardiac artery. The ground truth data can comprise vessel and / or lumen segmentations for several cardiac arteries and associated pressure information for the cardiac arteries. The vessel and / or lumen segmentations can be generated from images from different image modalities (e.g., IVUS, angiographic, CT, etc.). Further, some of the associated pressure information can be based on measured pressure information (e.g., using a pressure sensing catheter) while other associated pressure information can be derived from the vessel and / or lumen border segmentations using numerical analysis techniques (e.g., CFD, or the like).

The invention relates to the technical field of medical image processing, in particular to a fundus angiography image processing system. The system comprises a static atlas initialization unit, a dynamic state evolution unit, a kinetic parameter fitting unit and a fundus dynamics report generation unit. The system constructs an initial static anatomical atlas by acquiring a baseline frame and extracting a static anatomical structure; the core of the method is to analyze a dynamic contrast sequence frame by frame based on the atlas to obtain a time sequence evolution state atlas; under physiological prior constraints, the optimal physiological dynamic parameters are fitted by comparing model prediction with a time sequence evolution graph; and finally generating a fundus dynamics report containing the functional quantitative index and the focus activity heat map. The system can also take the kinetic parameters as historical priori and call the kinetic parameters in a future fitting task so as to dynamically adjust a constraint range and realize individualized closed-loop self-optimization; according to the method, the limitation of traditional static snapshot analysis is overcome, and accurate modeling can be carried out on complex physiological dynamic processes such as perfusion and permeation.

The invention provides an angiography image segmentation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an initial angiography image which comprises a to-be-segmented blood vessel structure region; based on a preset blood vessel response function, performing enhancement processing on a blood vessel structure region contained in the initial angiography image to obtain an enhanced angiography image; segmenting the enhanced angiography image through the target segmentation model to obtain an initial blood vessel structure region corresponding to the enhanced angiography image, the initial blood vessel structure region including a blood vessel center line; and performing expansion processing on the blood vessel center line based on the initial blood vessel structure region to obtain a blood vessel segmentation result. According to the embodiment provided by the scheme, the accuracy and reliability of angiography image segmentation can be improved.

The invention discloses a system and a method for detecting branch blood flow disorder in coronary artery bifurcation lesion interventional therapy. The system comprises a physiological signal acquisition unit, an angiography unit, a coronary intravascular ultrasound unit, a data processing and control unit and a display unit. The method is realized through the following steps: calculating baseline functional indexes and extracting baseline morphological parameters based on radiography and vascular ultrasound images before an operation; the method comprises the following steps: synchronously acquiring real-time radiography and ultrasonic images before and after key steps in an operation, and calculating real-time functional indexes and real-time morphological parameters according to the real-time radiography and ultrasonic images; fusing the real-time data with the baseline data, and calculating a comprehensive damage index; and according to whether the index exceeds a preset threshold, generating a graded early warning signal in real time. According to the method, image data which can be conventionally obtained in an operation is utilized, real-time fusion and quantitative evaluation of function and form information are achieved, objective decision support in the operation is provided for an operator, intervention opportunities can be accurately mastered, and the operation safety and curative effect are improved.