423 results about "Mr angiography" patented technology

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

The invention provides an acute cerebral apoplexy early-stage intelligent screening and early warning method and system based on deep learning, and relates to the technical field of medical imaging and artificial intelligence, and the method comprises the steps: obtaining a multi-temporal angiography image of the brain of a patient through a pulse-type dynamic imaging scheme, extracting hemodynamic features through a double-flow feature extraction network, and obtaining a multi-temporal angiography image of the brain of the patient; and constructing a vasculopathy risk distribution diagram by combining a vascular structure analysis model, and marking a potential embolism risk area. Furthermore, in combination with tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an ischemic penumbra region is identified by using a self-adaptive threshold segmentation model. And finally, based on the ischemic penumbra area, the tissue perfusion parameters and the brain tissue function parameters, calculating a risk level by using a hierarchical decision model with a space-time attention mechanism, and generating a corresponding clinical intervention scheme. According to the invention, the early accurate screening and risk early warning of acute cerebral apoplexy can be realized, and the clinical intervention efficiency is improved.

An apparatus for performing a vascular assessment is disclosed. The apparatus creates a three-dimensional model that is representative of a coronary vessel tree of a patient based on at least two angiographic images. The apparatus estimates first blood flow resistance values for points along at least some vascular segments of the coronary vessel tree using vascular geometrical dimensions of the three-dimensional model. The apparatus also estimates second blood flow resistance values for the points along the at least some vascular segments of the coronary vessel tree using a volume of a crown of the vascular segment downstream from the respective point. The apparatus determines fractional flow reserve (“FFR”) by calculating a ratio of the first blood flow resistance values and the second blood flow resistance values at each of the points along the at least some vascular segments of the coronary vessel tree.

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 present invention provides an early intelligent screening and warning method and system for acute stroke based on deep learning, which relates to the field of medical imaging and artificial intelligence technology, including obtaining multi-phase angiography images of the patient's brain through a pulsed dynamic imaging scheme, extracting hemodynamic characteristics using a dual-stream feature extraction network, and constructing a vascular lesion risk distribution map in combination with a vascular structure analysis model to mark potential embolism risk areas. Further, combining tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an adaptive threshold segmentation model is used to identify the ischemic penumbra area. Finally, based on the ischemic penumbra area, tissue perfusion parameters, and brain tissue function parameters, a hierarchical decision model with a spatiotemporal attention mechanism is used to calculate the risk level and generate a corresponding clinical intervention plan. The present invention can achieve early and accurate screening and risk warning of acute stroke, and improve the efficiency of clinical intervention.

The invention relates to the technical field of model reconstruction, in particular to a method for reconstructing a coronary artery model based on coronary artery angiography. The method comprises the following steps: acquiring a coronary artery scanning image of a patient; performing three-dimensional coronary artery space structure construction on the coronary artery image of the patient to generate a three-dimensional coronary artery space model; performing blood vessel diameter analysis on the three-dimensional coronary artery space model to generate coronary artery blood vessel diameter data; acquiring an X-ray angiography image of a patient; performing coronary artery vein structure construction on the X-ray angiography image of the patient to generate a three-dimensional coronary artery vein model; and performing blood vessel wall thickness analysis on the three-dimensional coronary artery vein model to generate coronary artery blood vessel wall thickness data. According to the method, multi-modal modeling is carried out by combining the coronary artery scanning image and the X-ray angiography image of the patient, anomaly analysis is carried out on the coronary artery, and the accuracy and reliability of coronary artery model reconstruction are improved.

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 provides an angiography CT (Computed Tomography) image-based early-stage pulmonary artery micro embolism detection method, which comprises the following steps of: extracting pulmonary parenchyma, and segmenting a small pulmonary blood vessel to obtain a pulmonary blood vessel tree; network weight is updated based on a neural evolution calculation method, and lung arteries and veins are separated; and obtaining a complete pulmonary artery tissue from a pulmonary artery and vein separation result, establishing a level set evolution model to enable the curve to be accurately evolved to the edge of a normal pulmonary artery tissue, and removing the normal pulmonary artery tissue to obtain a pulmonary embolism focus tissue so as to obtain a pulmonary embolism detection result. The method provided by the invention can accurately detect the micro embolism part at the early stage of pulmonary embolism, and has important clinical application value.

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.

A stenosis assessment method and device based on the intracranial digital subtraction angiographic (DSA) imaging, including acquiring the intracranial DSA imaging and extracting two planar images containing the target blood vessel from the DSA imaging, wherein the two planar images have different shooting angles. According to the two planar images, a 3D model of the target vessel is established. Based on the established 3D model of the target vessel and the DSA imaging, the hemodynamic simulation of the target vessel is performed. The disclosure realizes the functional assessment of intracranial vascular stenosis, improves the diagnostic accuracy, and provides certain assistance for neurologists to determine intervention means. The disclosure of noninvasive FFR technology in the assessment of intracranial vascular stenosis can only rely on angiography for functional assessment, saving the medical examination cost of patients. It has more convenient operation and higher repeatability.

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 belongs to the technical field of compression hemostasis, and particularly discloses a hemostasis device for angiocardiography, which comprises a pressing locking mechanism, a pressure fine adjustment mechanism and a double-strand bandage mechanism, the pressing locking mechanism comprises a double-layer pressure stabilizing assembly, a guide locking assembly and a rotary unlocking assembly, the guide locking assemblies are annularly and evenly distributed in the double-layer pressure stabilizing assembly, the rotary unlocking assembly is rotationally arranged on the double-layer pressure stabilizing assembly, the pressure fine adjustment mechanism is arranged in the pressing locking mechanism, and the double-strand binding belt mechanisms are arranged on the two sides of the pressing locking mechanism. The floating pressing plate can be kept attached to the skin through the elastic belt, and the pressure fine adjustment mechanism is prevented from turning over or leaving the skin; therefore, the technical problem that in a traditional compression hemostasis scheme, the pressure of the whole circle of binding position and the pressure of the compression target area are increased and decreased together is solved, and the technical effect that the pressure acts on the target area in a concentrated mode, but the pressure borne by other positions is small is achieved.

Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.

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.

Provided is a method for computing a SYNTAX score using a cardio angiogram, which is performed by at least one processor of a computing device, and includes acquiring an angiogram of a cardiovascular system, providing a cardiovascular segment map associated with the angiogram, in response to a user input that selects one of one or more frames included in the acquired angiogram and associates the selected one frame with a cardiovascular segment included in the cardiovascular segment map, associating the selected one frame with the cardiovascular segment, generating, using the selected one frame, an analysis result for a lesion in the associated cardiovascular segment, determining, based on the analysis result, a SYNTAX score for at least a part of the cardiovascular system, and generating an indication of the SYNTAX score.

The invention discloses a method and equipment for training a segmentation model for segmenting an aneurysm, and a storage medium. The method comprises the following steps: acquiring multi-modal image data, wherein the multi-modal image data comprises digital subtraction angiography data, CT angiography data and magnetic resonance angiography data; based on the multi-modal image data, performing blood vessel segmentation and labeling a target aneurysm to obtain a blood vessel segmentation result and a target aneurysm labeling result; constructing a distance map and label data according to the blood vessel segmentation result and the target aneurysm labeling result; and inputting the blood vessel segmentation result, the distance map and the label data into a segmentation model for performing aneurysm segmentation to obtain a target aneurysm, so as to train the segmentation model for segmenting the aneurysm. By using the scheme of the invention, the segmentation precision of the segmentation model can be improved so as to obtain a more accurate target aneurysm.

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.

The invention discloses a syringe. The syringe comprises a barrel part, a push rod and an anti-emptying ring, the barrel portion has a connection end and an operation end. The anti-emptying ring is positioned in the cylinder part and is close to the connecting end of the cylinder part; the push rod is partially located in the cylinder part and partially exposed out of the cylinder part, the push rod can slide relative to the cylinder part, and when the push rod is pushed in place, the push rod abuts against the anti-emptying ring. The invention further discloses an injection device special for angiography. The injection device comprises the injector and a three-way pipe. The three-way pipe comprises a first pipeline, a second pipeline and a third pipeline, the first pipeline is communicated with the third pipeline, the third pipeline is communicated with the second pipeline, the first pipeline is not communicated with the second pipeline, the tail end of the third pipeline is connected with the injector, and during suction, a contrast agent is sequentially input into the third pipeline and the injector from the first pipeline; during pushing injection, the contrast agent is sequentially output to the third pipeline and the second pipeline from the injector. Compared with the prior art, two-dimensional optimization of safety and efficiency is achieved.

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.