211 results about "Angiography" patented technology

The invention, which relates to the technical field of medical image processing and intelligent diagnosis, discloses an ERCP image intelligent identification system based on multi-modal fusion, comprising an image acquisition module, an image preprocessing module, a multi-modal fusion model module, a parameter measurement module, an early warning judgment module and a real-time interaction module. The image acquisition module is used for acquiring an ERCP radiography original image in a DICOM format, performing privacy information desensitization processing on the original image, and reserving pixel pitch and catheter size parameters in DICOM metadata; the system has the beneficial effects that privacy protection and parameter retention are realized through the image acquisition module, precise structure segmentation is realized in combination with a multi-modal fusion model, key indexes are automatically quantized by means of the parameter measurement module, intraoperative visualization is enhanced in cooperation with the real-time interaction module, and the accuracy of the system is improved. The problems that traditional ERCP analysis depends on experience and lacks quantitative standards and decision lags are effectively solved, and the method has the remarkable advantages that diagnosis precision is improved, operation time is shortened, and the medical resource utilization rate is optimized.

The invention discloses a whole-process vascular interventional operation training method and system based on a virtual reality technology, and the method comprises the steps: firstly, developing a vascular interventional mechanics and collision simulation module, and achieving the deformation simulation of a blood vessel and a guide wire through the combination of position dynamics, a region shape matching technology and a Cosseerat elastic rod model, the collision between the blood vessel and the guide wire is treated by adopting a wide-to-narrow three-layer progressive collision detection method; secondly, constructing an immersive virtual operation scene through model construction and rendering optimization; visual angle roaming, instrument operation and interface interaction are fused, and multi-mode interaction control driving intervention training is achieved; finally, based on a'module-event 'dual-drive framework, operation tasks such as anesthesia, puncture, radiography, intervention, stent release and hemostasis are sequentially connected in series through a unified state machine, and whole-process training is achieved. The accuracy and stability of blood vessel and guide wire simulation are improved, the training immersion sense is enhanced, interventional operation whole-process training is achieved, and high teaching and practical value is achieved.

The present invention discloses a focal learning-based method for intelligent CT angiography imaging. (1) Acquiring NCCT images and their corresponding real CTA images; (2) Constructing an adversarial network model comprising a generator, a corrector, and a discriminator; (3) Formulating a joint focal learning loss function for the generator-corrector pair and a separate loss function for the discriminator; (4) Training the adversarial network model using the training set, and validating the trained model using the validation set; (5) Identifying the generator with the best test performance by virtue to the test set. The invention establishes a joint focal learning loss function, which allows the generator to create synthetic CTA images that more effectively emphasize target areas, like vascular tissues. Furthermore, a corrector is incorporated into the invention to facilitate improved registration and alignment between NCCT images and CTA images.

The invention relates to a real-time three-dimensional reconstruction method based on intracavity ultrasound and fistula radiography, which comprises the following steps of: extracting a fistula channel projection path through a fistula expansion outline after a contrast agent is injected during radiography; the ultrasonic probe is linked to detect the tissue interface change in the image, and reverse matching is carried out on the tissue interface change and a high-density area of the radiography image; establishing a spatial perspective calibration system based on an imaging cone projection relation, and estimating a rotation / translation pose of the intracavity ultrasound image ICE in a three-dimensional space; outputting a spatial state sequence of the ICE frame; performing curved surface resampling on the ICE image, and establishing a sectioned image stack; continuously receiving a new ICE image and a contrast frame; performing model fine tuning through a local deformation field; operating a spatial feature extraction network on the fistula volume model; judging local expansion / contraction and curvature change in the three-dimensional model to identify a fistula opening point; a fistula main channel and branch paths are analyzed, and the fistula complexity level is judged through topology analysis; and comparing with a preoperative map to assist in preoperative pre-judgment and intra-operative path planning.

The invention belongs to the technical field of medical imaging, and discloses an angiography high-pressure injection system which comprises the following steps: acquiring physiological data information of a patient, and calculating an individualized contrast agent injection parameter coefficient based on the physiological data information; acquiring anatomical structure information of a blood vessel region of the target patient, and performing pressure evaluation based on hemodynamic characteristics to obtain blood vessel pressure bearing capacity and injection pressure regulation factors; performing physiological status assessment based on the physiological data information of the patient to obtain a physiological status influence factor and generate a risk marker value; performing multi-source data fusion according to the injection pressure regulation factor, the physiological status risk marker value and the historical radiography record, and constructing the radiography safety degree of the blood vessel sub-region; an optimal injection parameter path is obtained based on the radiography safety degree in combination with a deep reinforcement learning algorithm, and high-pressure injection equipment is controlled to execute injection operation; according to the invention, accurate and personalized control of contrast agent injection is realized, and the safety and imaging effect of contrast examination are remarkably improved.

The invention discloses a blood vessel three-dimensional reconstruction method and device based on a multi-view angiography image, computer equipment and a storage medium, and relates to the field of blood vessel simulation, and the method comprises the following steps: firstly, selecting a key frame from a multi-angle angiography sequence, carrying out high-precision blood vessel tree segmentation, and determining a reference image; secondly, constructing a three-dimensional projection cone by extracting projection parameters, taking an intersection of the three-dimensional projection cone and discretizing the intersection, iteratively screening by using a reference image and other visual angle information, and precisely defining a blood vessel tree spatial domain; the three-dimensional model reconstruction method is characterized in that a spatial dispersion and traversal projection thought is introduced, so that the calculation complexity is not remarkably improved when the number of visual angles is increased, and the limitation of the number of visual angles in traditional multi-visual-angle reconstruction is broken through; the method has the advantages of high precision and high expansibility, and can meet the harsh requirements of hemodynamic simulation and other high-end clinical applications on the precision of the blood vessel model.

A lung CT blood vessel image segmentation and reconstruction system based on multiple interpretable features performs further fine-grained segmentation on the basis of main airway features through a feature extraction module to obtain a plurality of connected domains, performs multi-stage feature extraction on the connected domains, and outputs multi-scale feature information; the blood vessel segmentation module generates an information matrix according to the indexes and the pulmonary parenchyma mask, generates a blood vessel network segmentation result through an adversarial network and performs post-processing; and the model reconstruction module performs three-dimensional reconstruction on the blood vessel network segmentation result and the pulmonary parenchyma mask to obtain a 3D model. According to the method, on the basis of anatomical priori knowledge of pulmonary vessels and airways, a large amount of multi-scale feature information is utilized, the information loss of the two-stage segmentation network is reduced, and the network adaptability and the learning ability of the relation between pixels under the complex condition are improved. In the aspect of system design, a modular design and management mode is adopted, efficient resource access is achieved, and meanwhile the operability and usability of the system are improved through end-to-end process design.

The invention discloses an intracranial anterior artery circulation functional evaluation method and device, computer equipment and a storage medium, and relates to the field of vascular function evaluation, and the method comprises the steps: based on an intracranial angiography image and near-end pressure data, carrying out the five working processes of data input, blood vessel segmentation and segmentation, boundary condition calculation, hemodynamic simulation and functional parameter calculation; according to the method, functional parameters verified in the coronary artery field are migrated to intracranial blood vessel evaluation without additional equipment, the clinical problem that traditional morphological evaluation is not matched with functionality is solved, individualized function quantification is achieved by integrating blood vessel morphological characteristics and hemodynamic simulation, and the method is suitable for being applied to intracranial blood vessel evaluation. According to the method, an objective basis is provided for cerebrovascular disease diagnosis and treatment, the intracranial vascular disease is promoted to be converted from anatomy orientation to function orientation, the clinical decision accuracy is remarkably improved, popularization and application of functional evaluation in the field of neural intervention are accelerated, and construction of a cerebrovascular disease accurate diagnosis and treatment system is assisted.

The invention provides a DSA-oriented X-ray coronary angiography image blood vessel segmentation method and system, and relates to the technical field of image processing and deep learning. The method comprises the following steps: firstly, acquiring a target segmentation image and a reference image based on X-ray coronary artery angiography video data, and forming a training sample by the reference image and the target segmentation image to construct a training data set; then constructing a segmentation network model; the segmentation network model comprises a main encoder, an auxiliary encoder, a plurality of up-sampling attention modules, a similarity attention module and a decoder; calculating a total loss function by using the segmentation mask of the target segmentation image, and optimizing the segmentation network model; and finally, inputting an X-ray coronary artery angiography image data set needing to be segmented into the trained segmentation network model to obtain a segmentation result. According to the method, an X-ray perspective image before radiography is compared with a target segmentation image, so that a neural network is helped to distinguish a foreground from a background, and blood vessels are accurately recognized.

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 discloses a guide wire advancing automatic monitoring method in a vascular intervention robot operation. The method comprises the following steps: S1, extracting an intervention path from a preoperative CT contrast image; s2, electromagnetic navigation equipment is placed in the operation space, coordinate values of the experimental model pasted with the electromagnetic sensor mark points in the magnetic field space and coordinate values of the corresponding image coordinate space are obtained, and a registration transformation matrix is obtained; s3, sequentially binding 3-5 electromagnetic sensors at the front end of the guide wire, and pushing the guide wire to an intervention starting point; s4, in the process that the guide wire advances to the intervention end point, electromagnetic navigation equipment is used for obtaining the position Pi, t of an electromagnetic sensor at the moment t, the image coordinate space position Pi, t is obtained based on the registration transformation matrix, and the front end form of the guide wire is fitted and fused and displayed in a reconstructed image; and S5, monitoring according to the intervention path and the relative position relation of the electromagnetic sensor. According to the invention, the moving state of the guide wire in the moving process can be positioned in real time, and moving deviation early warning is given.

The invention relates to a catheter pump position judgment device and method, a catheter pump, a ventricular assist system, a storage medium and equipment.The catheter pump position judgment device comprises a sampling module, a processing module and a judgment module, and the sampling module is configured to collect operation data of a driving motor of the catheter pump in the conveying process; the operation data at least comprises rotating speed data; the processing module is configured to determine a range value of the rotating speed data; the judgment module is configured to determine the position state of the catheter pump according to the comparison result of the range value and a preset threshold value. The method does not need to depend on an additional pressure sensor or multiple times of radiography, and can judge whether the catheter pump is located in the aorta, the transvalvular position or the left ventricle by collecting the rotating speed data of the driving motor and analyzing the range value of the rotating speed data.

The invention discloses an image processing and simulation analysis method for a carotid artery image, which comprises the following steps: firstly, acquiring a CTA image, observing and selecting, then importing the CTA image, adjusting the image contrast, generating a three-dimensional blood vessel model, extracting a carotid artery focus, and carrying out overall and local surface optimization processing on the model. The method comprises the steps that firstly, a model is built, then local surface cutting naming and grid division are conducted on the model, finally parameters are set, CFD hemodynamic simulation is conducted, a simulation result is subjected to visualization processing, and preoperative and postoperative data are compared and analyzed. According to the method, multi-modal imaging data of brain CT perfusion imaging, brain CT angiography and the like of a patient suffering from carotid artery stenosis can be collected to be used for reconstructing a three-dimensional model of the carotid artery stenosis, the carotid artery hemodynamic characteristics of the patient and the individual characteristics of the patient are analyzed in an auxiliary mode based on computational fluid mechanics, operation mode selection is optimized, and the three-dimensional model of the carotid artery stenosis is reconstructed. Cerebral ischemia reperfusion injury is avoided, clinical prognosis of a patient is improved, and life quality of the patient is improved.

The accompanying angiographic catheter comprises an outer tube, a functional catheter and a fixed catheter are arranged in the outer tube in a penetrating mode, an injection connector is arranged at the near end of the functional catheter, and a sliding fixing part used for fixing a target instrument is arranged in the fixed catheter in a penetrating mode; the sliding fixing part comprises a sliding fixing tube, a control part and a fixing part connected to the far end of the control part, the sliding fixing tube is of a cylindrical structure or a tubular structure and penetrates through the fixing catheter, the control part penetrates through the sliding fixing tube, and the fixing part is of a circle structure defined by a thin line; the cross section direction of the outer pipe is of a foldable bending structure, and the bending structure is of an elastic structure which can be expanded and retracted. The device has the advantages of being easy and convenient to operate, accurate in radiography target spot, suitable for functional catheters and fixed catheters of various diameters, suitable for being used in cooperation with target instruments and shadow catheters of various models, and good in passing performance.

This invention relates to the field of medical device technology, specifically to an auxiliary device for hepatic artery angiography in interventional treatment of liver cancer. The device includes a fixed carrier with a flexible base and several supporting components. Each supporting component includes several arc-shaped connecting strips hinged together. Several adjustment boxes are installed on both sides of the flexible base, each containing an adjustment component. Each adjustment component includes a drive element with a bidirectional lead screw fixed to it. Nut seats are threaded to both ends of the bidirectional lead screw, and sliders are fixed to the nut seats. Traction cables are fixedly connected to the sliders, and the traction cables are hinged to the nodes of the arc-shaped connecting strips. The drive element is signal-connected to a control module. The control module controls the drive element to rotate the bidirectional lead screw forward and backward according to preset patient body shape parameters. This causes the sliders to slide through the nut seats, thereby causing the traction cables to pull the nodes of the arc-shaped connecting strips. This invention achieves multi-dimensional safety protection through mechanical structure linkage and sensor feedback, reducing surgical field interference.

This application relates to the field of medical devices and discloses a thrombectomy device, including a control handle, a catheter, and a thrombectomy assembly. The proximal end of the catheter is connected to the control handle, and the catheter has a suction chamber. The thrombectomy assembly includes a thrombectomy structure, a driven component, and a rotating component. The thrombectomy structure passes through the suction chamber, with its distal end located on the distal side of the suction chamber. The proximal end of the thrombectomy structure is connected to the driven component, which is located within the control handle and detachably connected to the rotating component. This thrombectomy device can effectively remove thrombi and reduces the time required for instrument replacement and re-angiography, improving surgical efficiency and reducing surgical risks.

The invention discloses an arterial lesion treatment scheme auxiliary generation system based on ultrasonic and radiography data, and belongs to the technical field of data processing. Comprising a data model storage unit used for storing relation models, an acquisition unit used for acquiring medical record data, and a reference medical record database generation unit used for screening medical records similar to a current patient and storing the medical record data of the medical records as a reference medical record database. The system comprises a data acquisition unit used for acquiring detection data, a data abnormity screening unit used for screening and outputting abnormal data and missing data, a reference scheme generation unit used for confirming and outputting a reference treatment scheme, and an interaction unit used for realizing data and information interaction between the system and a user. Meanwhile, a reference treatment scheme is automatically generated based on a case big database, risk points in an operation are locked, powerful assistance and support are provided for accurate treatment of doctors, and the treatment effect of arterial lesion is improved.

The invention belongs to the technical field of nano biological materials, and particularly relates to a near-infrared two-region excitation and emission lanthanide nano fluorescent probe as well as a preparation method and application thereof. Lanthanide ions with near-infrared two-region absorption characteristics are used as sensitizers, nanocrystalline with a co-doped structure formed by the lanthanide ions and activator ions is used as a core, and a pure-phase matrix material shell layer which is the same as a core lattice is grown on the surface of a core particle in situ. The nano fluorescent probe can generate tunable near-infrared two-region fluorescence emission with the wavelength of 1000 to 3000 nm under the excitation of near-infrared light with the wavelength of more than 1000 nm. The near-infrared two-region excitation and emission characteristics of the nano fluorescent probe can provide higher tissue penetration depth and signal-to-noise ratio for in-vivo imaging. The nano fluorescent probe shows excellent performance in living body angiography, dynamic observation of intestinal tracts and multi-channel near-infrared two-region imaging, and has wide application prospects in the fields of biomedical detection, early diagnosis of diseases, surgical navigation and the like.

This invention discloses an automatic monitoring method for guidewire movement in vascular interventional robotic surgery, comprising the following steps: S1, extracting the interventional path from preoperative CT angiography images; S2, placing an electromagnetic navigation device in the surgical space, obtaining the coordinate values ​​of the experimental model with electromagnetic sensor markers attached in the magnetic field space and the corresponding coordinate values ​​in the image coordinate space, and obtaining the registration transformation matrix; S3, sequentially attaching 3 to 5 electromagnetic sensors to the front end of the guidewire and pushing the guidewire to the interventional starting point; S4, during the guidewire's movement to the interventional endpoint, using the electromagnetic navigation device to obtain the electromagnetic sensor position P at time t. i,t And obtain the image coordinate space position P` based on the registration transformation matrix. i,t The fitted guidewire tip morphology is fused and displayed in the reconstructed image; S5, monitoring is performed based on the intervention path and the relative positional relationship of the electromagnetic sensors. This invention can locate the movement state of the guidewire in real time and provide early warning of deviation.

The invention relates to the technical field of image processing, in particular to a coronary artery angiography image blood vessel stenosis degree intelligent grading system which is used for obtaining angiography images of a coronary artery at multiple visual angles and the image quality score of each angiography image. Identifying a narrow point in each contrast image, and determining the single-view-angle narrow degree of the narrow point in each contrast image; matching the narrow points in the contrast images of different visual angles to obtain a matched narrow point of each narrow point in the contrast image of each visual angle in the contrast images of other visual angles; determining the final stenosis of each actual stenosis point in the coronary artery based on the single-view stenosis of each stenosis point, the single-view stenosis of the matched stenosis point of each stenosis point and the image quality score of each contrast image; and evaluating the stenosis level of each actual stenosis point based on the final stenosis degree of each actual stenosis point. The system can improve the accuracy, objectivity and reliability of narrowness measurement.

Provided are an information processing method and the like that appropriately associate an image captured by an image acquisition catheter with an image captured by angiography even for a bent blood vessel.　The information processing method causes a computer to execute a process for: acquiring cross-sectional image information related to a plurality of cross-sectional images (71) of a blood vessel; acquiring, in perspective images (61), sensor position information related to the positions of a sensor used for capturing the respective cross-sectional images (71); acquiring designation of the visual field direction; and outputting either the shape of the blood vessel seen through in the acquired visual field direction or the angle relating to the visual field direction on the basis of the cross-sectional image information and the sensor position information.

This invention discloses a low-pass filtered non-breath-hold saline angiography combined with cardiac mirror contrast imaging for lung perfusion imaging, belonging to the field of medical imaging technology. The method includes the following steps: S1: determining whether the subject's tidal impedance variation meets the imaging criteria; S2: injecting contrast agent into the subject to perform angiography; S3: obtaining an impedance decrease signal; S4: combining cardiac mirror contrast imaging with lung perfusion images. This invention solves the problem of low success rate of saline angiography in existing technologies, achieves separation of thoracic impedance caused by tidal breathing and thoracic impedance caused by saline angiography, reduces the influence of the cardiac region on lung perfusion images, further improves the accuracy of lung perfusion imaging, greatly reduces the interference of breath-holding on respiratory circulation, improves the simplicity of clinical application, and expands clinical application scenarios.

This application relates to the field of image information processing technology and provides a fusion contrast imaging method, a registration method and apparatus for intracavitary images and contrast images. The fusion contrast imaging method includes: acquiring contrast images and intracavitary images; fusing the contrast images and intracavitary images based on the correspondence between contrast markers and intracavitary markers to obtain a fusion contrast imaging result. This application links contrast images and intracavitary images through contrast markers and intracavitary markers, enabling intracavitary image information and contrast image information to correspond and be fused to obtain a fusion contrast imaging result, thereby overcoming the problem that traditional contrast images contain only a single type of information.

A pro-inflammatory and vasoconstrictor and endothelin-1 (ET-1) are pathogenic molecules related to a series of cardiovascular diseases. Unlike ET-1 signaling for vasoconstriction of the main artery, we have proven herein that coronary microvessels exhibit a unique signaling mechanism for constriction (independent of PKC, CPI-17, and intracellular calcium storage). The pathophysiological level of ET-1 acts preferentially on the microvessels to exert persistent vasoconstriction by activating Rho kinase upon binding to ETAR of the ET-1 receptor. The ETAR antagonist BQ123 only blocks but cannot reverse vasoconstriction against ET-1. In contrast, ROCK inhibitors (e.g., H-1152) are effective to reverse arteriolar systole against ET-1. Thus, ROCK inhibition is a potent and specific choice for the treatment of coronary ischemic disease (abnormal vasoconstriction) associated with microvascular dysfunction due to excessive production of ET-1. The ROCK inhibitors may also be used to treat microvascular diseases associated with diabetic retinopathy as well as microvascular dysfunction caused by cancer therapy or immunosuppressive drugs. Since H-1152 can also reduce the basal tension of microvessels, a ROCK inhibitor is also a good diagnostic agent when used during angiography or by a non-invasive method.

The invention relates to CBCT integrated equipment carrying an injection pump and an application method and application device of the CBCT integrated equipment. According to the method, a bed body, a ray generating device, a detector, an injection pump and an infusion tube are included, and a tube groove is formed in a non-imaging area of a bed board so as to fix the infusion tube, avoid the winding phenomenon of the infusion tube, guarantee normal infusion and further reduce image artifacts; the mechanical driving device can drive the pump body to rotate under the condition that medicine needs to be injected, so that a needle head part of the pump body points to the position lower than the horizontal plane, and outflow of the medicine to be injected is guaranteed; the mechanical driving device can drive the pump body to rotate under the condition that medicine does not need to be injected, so that the needle head part of the pump body points to the position higher than the horizontal plane, and the medicine to be injected is prevented from flowing out of the pump body. Furthermore, the CBCT integrated equipment carrying the injection pump can directly carry out image exposure after injection so as to timely and accurately capture three-stage contrast images and obtain high-quality images.

This invention discloses a phased array ultrasonic defect intelligent identification and data analysis system, relating to the field of PAUT (Polymerization and Angiography). It includes: an acquisition module for driving a phased array ultrasonic sensor array to perform weld seam scanning according to preset scanning rules, simultaneously acquiring and outputting ultrasonic echo time-series data across the entire depth range of the weld seam; and a preprocessing module for receiving the ultrasonic echo time-series data, performing data correction, noise filtering, and initial screening of effective signals, while simultaneously receiving feature anchoring parameters output by a mapping module, refining the signals in the corresponding regions, and outputting the results. This invention enables continuous, blind-zone-free scanning across the entire thickness and width range of the weld seam, simultaneously completing accurate echo signal correction and defect feature extraction, improving defect identification accuracy through closed-loop adaptive processing, accurately determining defect types and calculating their spatial location, size, and other core parameters, and simultaneously completing defect data statistical analysis and welding process correlation.

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 application provides a three-dimensional reconstruction and quantitative analysis consistency control method and system of multi-center CT blood vessel imaging data, an electronic device and a storage medium, and relates to the technical field of medical image processing. The method comprises the following steps: first, synchronously acquiring original projection data of multi-center CT blood vessel imaging, blood vessel center line topological data and blood vessel respiratory motion displacement data, generating a blood vessel deformation correction matrix based on the respiratory motion displacement data, and dynamically registering the blood vessel center line data by using the matrix to obtain corrected center line data; then, inputting the corrected center line data and the original projection data into a multi-modal feature fusion network for three-dimensional reconstruction to generate an initial blood vessel model; then, performing morphological parameter quantitative analysis on the initial model; finally, comparing the analysis result with a clinical standard and adjusting the model parameters to output a target blood vessel three-dimensional model. The application improves the geometric accuracy and clinical applicability of the blood vessel model reconstruction.

The present invention provides a method, device, terminal and medium for verifying vascular annotation based on the SYNTAX annotation specification, which relates to the technical field of image processing. The method includes: obtaining coronary artery vascular annotation information input by a user; wherein, the coronary artery vascular annotation information includes the endpoint coordinates and lengths of each vascular segment on the coronary artery; determining a segment connection rule applicable to the coronary artery vascular annotation information based on the angiography position corresponding to the coronary artery vascular annotation information; wherein, the segment connection rule is the connection logic and sequence between coronary artery segments defined based on anatomy, including one or more of segment continuity, segment relative position and segment length; judging whether the coronary artery vascular annotation information conforms to the segment connection rule based on the endpoint coordinates and lengths of each vascular segment, and obtaining a verification result of the coronary artery vascular annotation information. The present invention can perform logical verification on the vascular annotation completed by doctors and can improve the accuracy of coronary artery vascular inspection annotation.

The invention belongs to an abdominal drainage ultrasound contrast small sample segmentation method and system based on meta-learning. The method comprises the steps of collecting multi-source data and images, analyzing target patient data to obtain patient state difference data, and preprocessing an ultrasound contrast image to obtain a standard contrast image. Performing feature extraction on the historical clinical data to obtain clinical operation difference data, and obtaining physiological influence drainage data according to the influence of the physiological state change of the target patient on the drainage area. The patient state difference data, the clinical operation difference data and the physiological influence drainage data are analyzed to obtain general segmentation features, and a meta-learning feature set is formulated in combination with a standard angiography image; constructing a meta-learning feature segmentation model, inputting a to-be-segmented ultrasound contrast image, and outputting a drainage region segmentation result; the method can adapt to physiological and pathological states and scenes of different patients, significantly reduces the segmentation boundary deviation, the false drop rate and the omission rate, and improves the accuracy of drainage region segmentation.