135 results about "Angiography" patented technology

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 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.

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.

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 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.

CT angiography can be used to obtain a 3D anatomical model of one or more blood vessels in a patient, while simultaneously obtaining 2D images of the vessels based on perspective. The 3D model can be registered with the 2D images based on contrast agent injection sites identified on the 3D model and / or in the 2D images. A fused image can then be created to depict the overlaid 3D model and 2D image, for example, on a monitor or via a virtual reality headset. Injection sites can be determined automatically or based on user input, which may include bounding boxes drawn around the injection sites on the 3D model, selection of automatically segmented regions in the 3D model, etc.

The fixing device comprises a base, a headrest groove is formed in the top of the base, a headrest is fixedly installed at the bottom of an inner cavity of the headrest groove, a movable opening is formed in one side of the base, and a sliding rod is connected into the movable opening in a sliding mode. The electric telescopic rod drives the sliding rod to move to the outside of the sleeve, at the moment, the mask can be overturned to the left side of the base, then the head of a patient is made to rest on a headrest in a headrest groove, the mask is overturned and reset, then the electric telescopic rod is controlled to retract, the electric telescopic rod retracts to drive the mask to descend, and the face of the patient can be covered with the mask after the mask descends. And finally, the two air bags are inflated through the air conveying pipe, so that the air bags are swelled, the face of the patient can be supported after the air bags are swelled, then the effect of rapidly fixing the head of the patient is achieved, and the examination efficiency is effectively improved.

This invention relates to the field of medical image processing technology, specifically to a deep learning-based preoperative multimodal image fusion and evaluation system for stroke, comprising: acquiring multimodal image sequences; determining the vascular collapse index at the center point of each blood vessel based on the edge features of the DSA angiography sequence; determining the mean cellular edema index and vascular collapse index of each local region based on MRI images, thereby determining the degree of cytotoxic edema in each local region; mapping the local region of the MRI images onto CT images, and determining the edge dissolution risk coefficient of each local region based on the edge features of each local region in the CT image sequence, combined with the degree of cytotoxic edema; using the multimodal image sequences as input, dynamically adjusting the edge intensity map using the edge dissolution risk coefficient to obtain the multimodal preoperative lesion region fusion result to assist doctors in evaluation. This invention effectively ensures the authenticity of the three-dimensional fusion result.

Reganoxonin is used in the preparation of a drug for the detection of ischemic heart disease by echocardiography. Echocardiography is selected from one or more of stress echocardiography, myocardial angiography, transthoracic Doppler echocardiography, and two-dimensional speckle tracking echocardiography. Ischemic heart disease is selected from one or more of non-obstructive or obstructive ischemic heart disease. The diagnosis of the patient's disease by administering the drug has good accuracy, sensitivity, specificity, and safety.

The invention relates to the technical field of medical image processing, in particular to a cross-modal fusion positioning method and system for accurate navigation of a coronary guide wire, and the method comprises the steps: firstly, obtaining a coronary X-ray angiography image and guide wire head end electromagnetic positioning data, constructing a vascular topological space expression, and carrying out the fusion positioning of the coronary X-ray angiography image and the guide wire head end electromagnetic positioning data; mapping the vascular network from the Euclidean space to a non-Euclidean topological space; secondly, processing a blood vessel connected graph and guide wire position data through two-channel feature extraction, and extracting features by adopting a topological sensitive convolution kernel; fusing vascular topological features and guide wire position features based on a manifold constraint cross attention mechanism to realize bidirectional information flow; further executing self-calibration state estimation, establishing a probability distribution model to quantify uncertainty, and realizing multi-source data fusion; according to the method, deep fusion of X-ray angiography and electromagnetic positioning data is achieved, and compared with a traditional method, the navigation precision is improved by about 40%.

This invention provides a damping component and an angiography injector, relating to the field of medical device technology. The damping component includes a main body, a first connecting seat, a second connecting seat, and a pressure adjusting component. The first connecting seat is used to connect to the injection head; the first connecting seat is rotatably connected to the main body. The second connecting seat is used to rotatably connect to a movable base; the second connecting seat is fixedly connected to the main body. The pressure adjusting component includes a pressure component and an adjusting component; the pressure component passes through the main body, and one end of the pressure component, together with the main body, clamps at least a portion of the first connecting seat; the adjusting component is threadedly connected to the other end of the pressure component, and the adjusting component is used to screw relative to the pressure component to adjust the magnitude of the force exerted by the pressure component and the main body clamping the first connecting seat. The angiography injector provided by this invention uses the aforementioned damping component. The damping component and angiography injector provided by this invention can improve the situation where the injection head of the angiography injector is prone to sudden drop.

The application discloses a prediction model for pulmonary arterial hypertension diagnosis and severity judgment based on pulmonary arteriography, a construction method and application. By collecting and analyzing pulmonary arteriography and test information of pulmonary arterial hypertension patients and controls, the application constructs a clinical prediction model for pulmonary arterial hypertension diagnosis and severity judgment. The diagnosis model and the severity judgment model both contain five independent prediction variables. After the model is constructed, the model is visualized through a nomogram, and the performance is evaluated through an ROC curve, a DCA curve and a calibration curve. The model is tested through a machine learning method, and the results show that the model has good performance. In addition, through correlation analysis of continuous variables, the application further constructs a linear regression equation with mean pulmonary arterial pressure as the dependent variable. The application provides a new clue for non-invasive screening of pulmonary arterial hypertension and has important significance for expanding the disease screening population and early diagnosis.

The invention discloses a pulmonary embolism detection system combining CT pulmonary arteriography and a neural network, and relates to the technical field of angiography image processing. Comprising five parts, namely CT pulmonary arteriography data collection, data set annotation and division, CT pulmonary arteriography image enhancement, data set amplification and data normalization, and is used for processing a patient image, wherein the CT pulmonary arteriography sequence image cleaning and enhancement network is composed of five parts, namely CT pulmonary arteriography data collection, data set annotation and division, CT pulmonary arteriography image enhancement, data set amplification and data normalization; the CT pulmonary arteriography multi-scale feature extraction network is composed of a residual transformation network and a bidirectional feature pyramid network and is used for extracting data features; the pulmonary embolus potential position detection network is composed of an independent self-attention mechanism and is used for detecting the position area of pulmonary embolus; the pulmonary embolism type identification and positioning network is composed of two identification modules connected in series and is used for pulmonary embolism type judgment and position positioning.

The utility model provides a radial artery angiography sleeve pipe relates to medical instrument technical field, including inner tube and sleeve pipe, inner tube includes inner tube catheter seat and inner tube tube body, sleeve pipe includes sleeve pipe catheter seat and sleeve pipe tube body, is provided with joint part on inner tube catheter seat, joint part can be connected with sleeve pipe catheter seat cooperation, when using, the inner tube tube body is worn into sleeve pipe tube body, through joint part and sleeve pipe catheter seat, can lock cooperation between sleeve pipe and inner tube, and the adaptability is good, and it is not easy to cause gas embolism or thrombus, and the end of the middle cavity is closed in locking position, and blood will not overflow, avoid affecting operation operation, when the inner tube and sleeve pipe are synchronous in superselecting the big blood vessel on the bow, and the sleeve pipe and the inner tube are separated after pointing to the target blood vessel, and under the support of guide wire and inner tube, it is superselected to the target blood vessel to the distal end, and the controllability of catheter is increased, and the difficulty of superselection is reduced.