623 results about "Pantomography" patented technology

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.

The invention relates to the technical field of ophthalmologic image processing, and discloses a fundus blood vessel segmentation method based on multi-modal data. The method comprises the following steps: firstly, synchronously acquiring an optical coherence tomography image, a color fundus photographic image and a fluorescent angiography image to form multi-modal fundus data; preprocessing the eye fundus image data set to generate a standardized multi-mode eye fundus image data set; fusing heterogeneous features based on the data set, and constructing a multi-dimensional fundus feature space; using the space to train a deep learning segmentation network model, and generating an initial fundus blood vessel segmentation mask; carrying out confidence evaluation analysis on the initial mask to obtain a blood vessel segmentation result confidence distribution map; dividing blood vessel segmentation quality grades according to the distribution diagram, and defining a judgment rule; and performing interactive correction on the low-confidence region based on a rule to generate a final optimized fundus blood vessel segmentation result. And the final result is transmitted to a visual terminal for three-dimensional topology reconstruction. According to the method, the advantages of multi-modal data are integrated, and a more comprehensive fundus blood vessel segmentation result is formed.

The present disclosure provides devices and methods to identify locations of side branches in a series of intravascular images (e.g., a pre-treatment IVUS pullback, a post-treatment IVUS pullback, or the like) to assist with co-registering the IVUS images with an extravascular image (e.g., angiogram, or the like) or with another set of IVUS images. The present disclosure further provides devices and methods for training a machine learning (ML) model to infer side branch locations from IVUS images and an analytic algorithm for extracting frames from the IVUS images representing side branches.

The invention relates to the technical field of model construction, in particular to a construction method and system of a myocardial infarction patient risk assessment model. The method comprises the following steps: carrying out sign data acquisition and coronary artery angiography image acquisition on a myocardial infarction patient through a medical information system, carrying out electrocardiosignal-vascular movement mapping processing according to the coronary artery angiography image of the myocardial infarction patient, and meanwhile, carrying out blocked electrocardiosignal pre-gradient feedback identification; blocking electrocardio pre-gradient feedback data is obtained; carrying out electrocardiosignal phase offset analysis on the obstructed electrocardiosignal pregradient feedback data, and constructing a myocardial infarction patient risk assessment model to obtain the myocardial infarction patient risk assessment model; and performing automatic monitoring firmware design on the myocardial infarction patient risk assessment model to obtain myocardial infarction patient risk assessment model monitoring firmware. The myocardial infarction patient risk assessment model construction technology is optimized, so that the assessment model construction technology is more perfect.

The invention provides a method for automatically segmenting a pulmonary artery tree and a tracheal tree on a CTPA image, and relates to the technical field of image processing, and the method comprises the steps: carrying out the data preprocessing of a pulmonary artery angiography image, and obtaining a preprocessed image; refining the preprocessed image to obtain a center line and a tubular structure radius; constructing three-dimensional Gaussian distribution according to the center line and the radius of the tubular structure, and obtaining a Gaussian distribution thermodynamic diagram according to the three-dimensional Gaussian distribution; inputting the preprocessed image into a first initial network to obtain an initial prediction result, and training the first initial network through the initial prediction result and a Gaussian distribution thermodynamic diagram to obtain a first segmentation network; inputting the preprocessed image into a first segmentation network to obtain a first segmentation result; and inputting the first segmentation result and the preprocessed image into a second segmentation network to obtain a final segmentation result. According to the method, the blood vessel segmentation technology is optimized through the Gaussian distribution thermodynamic diagram of the center line, and the recognition accuracy and segmentation precision of the model are improved.

The present disclosure provides to generate a 3D visualization of a vessel from intravascular ultrasound (IVUS) images. In particular, the present disclosure provides to reduce jitter between frames of an IVUS recording to provide a smoother appearance of a longitudinal view of the vessel from the IVUS image frames and to construct a 3D visualization of the vessel from the jitter compensated IVUS image frames.

The present invention provides an encapsulated gas or partial vacuum particle contrast media for use in CT imaging. In an exemplary embodiment, the invention provides an enteric contrast medium formulation. An exemplary formulation comprises, (a) an enteric contrast medium comprising a encapsulated gas or partial vacuum particle suspended in water. Exemplary encapsulated gas or partial vacuum particle has a specific gravity between 0.2 and 1.5. In various embodiments, the encapsulated gas or partial vacuum particle is suspended in aqueous media by an agent compatible with enteric administration of the formulation to a subject in need of such administration. In an exemplary embodiment, the contrast material is incorporated into a pharmaceutically acceptable carrier in which the material is suspended homogeneously. In an exemplary embodiment, the encapsulated gas or partial vacuum particle comprises 5% or more of the weight of the contrast material formulation. The invention also provides methods for imaging of the abdomen by dual energy CT or spectral CT contemporaneously with the delivery of the encapsulated gas or partial vacuum particle contrast material into the bowel lumen with or without the deliver of a second complementary contrast material into the blood vessels or other body compartments. The invention also provides methods for the digital separation of CT signal produced by the contrast media of the invention from the CT signal produced by other contrast media or bodily tissues to generate multiple resultant CT images with the contrast medium of the invention subtracted or highlighted.

The invention discloses a method for evaluating the dynamic change of the open form of an aortic valve based on 4D radiography, and the method comprises the following steps: 1, carrying out the three-dimensional modeling of the aortic valve based on a clinical image; 2, under the condition that it is guaranteed that morphological information of the three-dimensional model is not lost, the opening area AVA of the aortic valve under different time phases is obtained through a 4D image or the three-dimensional model; 3, according to the obtained AVA values in different time phases, drawing a systolic period AVA curve for describing open form change characteristics of the aortic valve in the systolic period, confirming an AV stable open period, and obtaining the average open area, the maximum open area and the minimum open area of the aortic valve in the AV stable open period; 4, calculating mutual differences according to the obtained average open area, the minimum open area and the maximum open area of the aortic valve in the AV stable open period; calculating the ratio of the open area to the maximum open area of the aortic valve under different time phases; 5, according to the result of the step 4, evaluating the opening degree change condition of the aortic valve in the systolic period.

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 discloses a sepsis-related acute kidney injury intelligent prediction system and a hierarchical management method, and the system comprises a multi-modal data collection module which synchronously collects an ultrasound contrast video, a urine biomarker and hemodynamic parameters in real time; the spatio-temporal feature extraction module is used for extracting multi-modal spatio-temporal features; modeling a dynamic interaction effect of heart and kidney nodes through a dynamic organ interaction graph network; the self-supervised pre-training module is used for improving the generalization of the model through comparative learning; the dynamic risk prediction module outputs a risk probability curve in the next 24 hours; the hierarchical decision management module is used for generating personalized strategies of liquid management, vasoactive drug adjustment and kidney replacement treatment opportunity; and the interpretability module is used for analyzing the key early warning characteristics based on the SHAP value. According to the method, the problems of deficiency of organ interaction modeling, poor generalization of small samples, stiffness of static decision and the like are solved, and the early warning and precise treatment capabilities of the sepsis-related kidney injury are remarkably improved.

The invention discloses an intracranial aneurysm rupture risk assessment method, device and equipment and a storage medium, and the method comprises the steps: firstly, generating a time sequence image containing flow field information based on the maximum density projection and center line extraction processing of a two-dimensional angiography image sequence in combination with contrast agent concentration change curve analysis; performing three-dimensional reconstruction, region-of-interest extraction and opening extension processing by using the three-dimensional image sequence to obtain detailed morphological parameters and a region-of-interest model after extension processing; secondly, displaying a time sequence image with flow field information and a region-of-interest model of which an opening is not prolonged in an overlapping manner, further optimizing setting of boundary conditions and performing hydrodynamic simulation by calculating a flow field vector in an observation ball and determining an actual blood flow direction, and calculating key hemodynamic parameters; and finally, in combination with the morphological parameters, the hemodynamic parameters and clinical information of the patient, obtaining an evaluation result of the aneurysm rupture risk.

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 medical imaging engineering, in particular to an angiography and tissue elastography device and method.The device comprises a reference layer arranged on the surface of biological tissue, and the elasticity modulus of the reference layer is known; the excitation unit is used for applying compression excitation to the surface of the reference layer and inducing the reference layer and the biological tissue to deform through excitation; the imaging unit is used for performing frequency domain optical coherence tomography on the reference layer and the biological tissue and collecting interference intensity signal sequences of the reference layer and the biological tissue along with wavelength change; and the upper computer is used for controlling the excitation unit and the imaging unit to act synchronously, and performing angiography, structural imaging and elastic imaging of the biological tissue according to the Young modulus of the reference layer and the interference signal sequence. Therefore, the problem that in the prior art, angiography and tissue elasticity are carried out separately, and only blood vessel network information or tissue elasticity characteristics can be provided is solved.

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 provides a myocardial angiography imaging method and ultrasonic imaging equipment. The method comprises the following steps: acquiring multiple frames of ultrasonic images of the heart of a target object in a myocardial perfusion process; acquiring an electrocardiosignal of the target object in the myocardial perfusion process; identifying the position of the heart time phase in the electrocardiosignal; taking the ultrasonic image corresponding to the heart time phase as a key frame image of the heart time phase; generating an electrocardiogram pattern representing the electrocardiosignal; at least marking the position of the first heart time phase in the electrocardiosignal on the electrocardiogram form; detecting whether a reset operation of the user on the first heart time phase is received or not, if the reset operation is received, setting the position of the first heart time phase in the electrocardiosignal, re-determining the key frame image, and if the reset operation is not received, keeping the key frame image unchanged. According to the myocardial angiography imaging method and the ultrasonic imaging equipment, the user is allowed to manually adjust the position of the heart time phase, so that the heart time phase more conforming to the expectation of the user can be obtained.

The invention discloses a contrast agent injection regulation and control device, and relates to the technical field of contrast agent injection.The contrast agent injection regulation and control device comprises an injection pipe, one end of the injection pipe is fixedly connected with a limiting plate, a piston is slidably installed in the injection pipe, a drawing rod is installed on one side of the piston, and one end of the drawing rod is fixedly connected with a pushing piece; a limiting ring is fixedly connected to the outer portion of the drawing rod, first limiting grooves are symmetrically formed in the outer portion of the injection pipe, and an adjusting mechanism is arranged on the outer portion of the injection pipe. The position of the positioning mechanism can be changed by moving the adjusting mechanism, the scale strip is arranged outside the injection tube, the adjusting mechanism can be conveniently moved to a proper position, and when a contrast agent is sucked, due to the cooperation of the positioning mechanism and the limiting ring, the drawing rod can only move to a designated position, so that the amount of the sucked contrast agent is guaranteed, and the contrast agent suction efficiency is improved. The situation that the subsequent radiography effect is affected after too much or too little inhalation is injected into the body of a patient is avoided, and adjustment can be conveniently conducted according to the condition of the patient.

Methods and systems for foveal avascular zone (FAZ) segmentation of a retina. A three dimensional optical coherence tomography angiography (OCTA) volume of a retina of a subject is received. The OCTA volume comprising a plurality of layers. A slab input for a model system is formed using the OCTA volume. The model system comprising a deep learning model. A set of mask images is generated, via the model system, based on the slab input. The set of mask images includes an area mask image that accurately and reliably identifies an area of a foveal avascular zone captured by the OCT volume.

Detection of landmarks in volumes of medical images is an important step in developing various diagnostic procedures. The invention pertains to a method detection of a landmark in a volume of medical images. Said volume of medical images can be selected from a computational tomography volume or a magnetic resonance volume. The invention includes a residual U-Net architecture to produce a heatmap that describes probability of finding the landmark which can be combined with a 3D Differentiable Spatial to Numerical Transform (DSNT) in order to obtain coordinates of the landmark. The invention was evaluated on two datasets: dataset containing 157 Coronary Computed Tomography Angiography (CCTA) scans and a dataset containing 77 Computed Tomography Angiography (CTA) scans. The proposed method provides a significantly improve accuracy of landmark detection, especially for ostium landmark detection, when compared to known methods.

The invention belongs to the field of medical embolism agents, and particularly relates to embolism hydrogel which can be used for radiography and drug loading and is moderate in degradation and a preparation method of the embolism hydrogel. The embolism hydrogel provided by the invention comprises two powders and two solutions, and the powders and the solutions are matched and combined with corresponding tools during use. The powder I is a multi-arm polyethylene glycol derivative with a double-bond group, the powder II is an iodine-containing contrast agent, the solution I comprises a reducing agent and an acidity regulator, and the solution II is an initiator. According to the prepared embolism agent, the problem of secondary embolism caused by the fact that the degradation time is short and the embolism effect of the embolism agent is not enough is solved, and targeted step-by-step embolism is achieved; and the double requirements of radiography and drug loading can be met at the same time.

The invention relates to the technical field of cardiovascular disease diagnosis, and discloses a myocardial perfusion and survivability evaluation method based on cardiac ultrasound contrast intelligent analysis. The method comprises the following steps: firstly, acquiring cardiac ultrasound contrast dynamic image data and pre-processing the data, then performing myocardial region segmentation by adopting an improved U-Net network in combination with an attention mechanism and a dynamic region growing algorithm, and constructing a myocardial perfusion zoning model. Then, myocardial perfusion dynamic characteristics are extracted, key time sequence characteristics are screened, and a multi-modal fusion evaluation model is constructed to generate a myocardial survivability probability distribution diagram. And finally, performing quantitative evaluation based on the probability distribution diagram, outputting a myocardial perfusion defect index and a survivability score, and generating a visual three-dimensional evaluation report. The accuracy of myocardial perfusion and survivability evaluation is improved, multi-modal information is integrated, quantitative evaluation and visualization are achieved, model robustness and clinical working efficiency are improved, and powerful support is provided for diagnosis and treatment of cardiovascular diseases.

The invention discloses an ultrasonic contrast diagnosis method and system. The method comprises the following steps: determining a region of interest and an imaging section, performing ultrasonic scanning, and synchronously generating a tissue grayscale image and a contrast video; radiography data in the radiography video within selected time are collected, and corresponding radio frequency data are obtained; obtaining perfusion characteristics based on the contrast data; extracting blood vessel blood flow parameters based on the radio frequency data; and comprehensively diagnosing the region of interest according to the perfusion characteristics and the blood vessel blood flow parameters. According to the method, perfusion characteristics and blood vessel blood flow parameters are combined, the perfusion condition of the blood vessel in the region of interest is analyzed from the macroscopic perspective, and blood flow dynamic information and blood vessel form information in the blood vessel in the region of interest are analyzed from the microscopic perspective. The perfusion characteristics and the blood vessel blood flow parameters are synchronously obtained based on the same time, the information synchronism of the perfusion characteristics and the blood vessel blood flow parameters is higher, the combinability is higher, analysis and judgment of the focus area are more accurate, and medical staff can deeply know the focus area.

The embodiment of the invention provides an angiography method, system and device based on ultrasonic positioning and a storage medium, and belongs to the technical field of ultrasonic medical detection. Firstly, an ultrasonic probe is adopted to scan a current area to obtain ultrasonic data, a Doppler imaging technology is adopted to process the ultrasonic data to obtain a Doppler blood vessel image of the current area, then whether the current area is a target area or not is rapidly judged according to the Doppler blood vessel image, and after the target area is rapidly determined, the target area is determined. And performing microbubble contrast operation on the blood vessel of the target area, and scanning the target area after the microbubble contrast operation by adopting an ultrasonic positioning microscope technology, so as to obtain a high-precision blood vessel image of the target area. The target area is rapidly positioned through the Doppler imaging technology, then the blood vessel image is collected in the target area through the ultrasonic positioning microscope technology based on microbubble radiography, the efficiency of the blood vessel image collection process of the target area is improved, and meanwhile the blood vessel image precision is improved.

The invention provides a swallowing function evaluation system and method based on multi-modal fusion, equipment and a medium. A swallowing radiography device, a multi-channel array flexible myoelectricity acquisition sensor and a near-infrared brain function imaging device of the system are respectively used for synchronously acquiring swallowing image information, swallowing muscle group myoelectricity array information and near-infrared brain function imaging information when a patient executes a swallowing mode; and the main controller processes the synchronously acquired information to realize swallowing function evaluation. According to the method, sEMG array image information of sEMG and near-infrared brain function imaging information are combined with swallowing image information to construct a human body swallowing evaluation model, and a self-developed multi-channel array flexible myoelectricity acquisition sensor is adopted to construct a correlation mapping model from a swallowing contrast internal structure to external muscle point information; and by utilizing the priori of the myoelectricity information and the near-infrared brain imaging information, the evaluation and prediction of the dysphagia are realized by adopting a classifier algorithm, and technical support is provided for the application of the near-infrared technology in the swallowing evaluation.

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.

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 invention relates to the technical field of medical imaging, and discloses a peripheral lung cancer pleural invasion evaluation system based on ultrasonic targeted radiography, comprising: a double-frequency ultrasonic probe configured to independently work at different frequencies to realize depth imaging and high-resolution imaging of lung tissues and suitable for different types of lung lesions; the signal processing module can receive, analyze and process echo signals transmitted by the ultrasonic probe, generate images in real time and extract feature information; and the dynamic motion compensation module is used for automatically adjusting the emission time sequence and parameter setting of the ultrasonic signal based on the real-time breathing motion state of the patient. By adopting the design of the double-frequency ultrasonic probe and the core-shell structure, high-resolution imaging and depth detection of lung tissues are realized. By dynamically adjusting the thickness of the probe shell to be matched with the frequency, the system can adapt to complex tissue environments under different physiological conditions, and image definition and stability are ensured.

The utility model relates to the technical field of medical equipment, and discloses medical radiography equipment for gastrointestinal radiography in radiology department, which comprises a gastrointestinal radiography machine body, two mounting racks are arranged at the bottom of one side of the gastrointestinal radiography machine body in a sliding manner, and a support cylinder for driving the mounting racks to lift is arranged at the bottom of one side of the gastrointestinal radiography machine body. A supporting plate is arranged between the two mounting frames, a supporting disc is rotationally arranged in the middle of the supporting plate, and a driving motor for driving the supporting disc to rotate is arranged at the bottom end of the supporting disc; the supporting disc can flexibly rotate in the horizontal plane of the supporting plate, the rotating angle can be accurately adjusted according to instructions of a doctor, a patient can be kept stable in the rotating process of the supporting disc through the cooperation between the handrail assembly and the binding assembly, shaking or inclination is avoided, and the patient can be protected from being damaged. Meanwhile, the position of the patient can be finely adjusted through the arranged supporting air cylinder.

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 discloses a foaming test device and system. According to the foaming test device, left / right atrial angiography tests can be taken into consideration at the same time, and when the foaming test device is switched into the left atrial angiography working mode, normal saline and a contrast agent can be automatically mixed to form a left atrial angiography mixed solution, and a left atrial angiography foaming solution is further formed; when the foaming test device is switched into a right atrial angiography working mode, normal saline, air and blood can be automatically mixed to form a right atrial angiography mixed solution, and a right atrial angiography foaming solution is further formed; the first injector and the second injector are matched with each other to perform reciprocating injection, so that the foaming efficiency of the left / right atrial angiography mixed liquid can be effectively improved, the time for forming the bubble liquid is shortened, automatic preparation of the left / right atrial angiography bubble liquid is quickly realized, meanwhile, the quality, preparation efficiency and consistency of the bubble liquid can be improved, and the production cost is reduced. And the accuracy of auxiliary screening is improved.

The utility model relates to the technical field of medical apparatus and instruments, and discloses a DSA high-pressure radiography injection device capable of adjusting flow velocity, which comprises a high-pressure needle cylinder, a push rod is slidably connected in the high-pressure needle cylinder, a fixing plug is fixedly connected in the high-pressure needle cylinder, an installation sleeve is fixedly connected on the outer wall of the high-pressure needle cylinder, and the high-pressure needle cylinder is fixedly connected with the installation sleeve. A protective sleeve is fixedly connected to the interior of the mounting sleeve, a rotating rod is rotatably connected to the interior of the protective sleeve, a main bevel gear is fixedly connected to one end of the rotating rod, a first rotary knob is fixedly connected to the other end of the rotating rod, and a first threaded rod is rotatably connected to the interior of the protective sleeve. According to the high-pressure radiography injection device, the first rotary knob is rotated, the main bevel gear drives the first threaded rod and the auxiliary bevel gear to rotate, then the clamping plug is driven to move up and down, the problem that most of existing high-pressure radiography injection devices cannot regulate and control the internal flow speed of the high-pressure needle cylinder is solved, the adjustability of the devices is improved, and the devices are convenient to use.