56 results about "Digital subtraction angiography" patented technology

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.

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

The invention discloses a PCI (Peripheral Component Interconnect) drug balloon postoperative effect prediction method, device and equipment based on a multi-modal image and a storage medium. The method comprises the following steps: firstly, collecting historical preoperative digital subtraction angiography (DSA) images of a plurality of patients, corresponding intracavitary image data and postoperative effect label data; further extracting vascular morphological parameters of a target lesion segment from the DSA image, extracting plaque microstructure features from the intracavity image, combining the vascular morphological parameters, the plaque microstructure features, clinical data of a patient and parameters of a drug balloon instrument into an input feature vector, and taking postoperative effect label data as a regression target; training an ensemble learning regression model; and finally, for a to-be-evaluated patient, acquiring a preoperative DSA image and an intracavity image, extracting features in the same way, inputting the features into the trained model, and outputting an immediate and / or long-term vasodilation gain prediction value of the patient after the PCI drug balloon operation so as to improve objectivity and reliability of a DCB preoperative decision.

A contrast agent powder injection capable of forming a supersaturated solution in absolute ethanol, comprising a contrast agent and a crystallization inhibitor. The contrast agent powder injection is an amorphous product, and can significantly increase the solubility of the contrast agent in absolute ethanol. In the contrast agent powder injection, the crystallization inhibitor can increase the stability of the supersaturated solution, change the viscosity of the supersaturated ethanol solution, and prolong the retention time in the blood vessel. Further provided are a preparation method for and use of the contrast agent powder injection. The contrast agent powder injection can achieve real-time and dynamic monitoring of the flowing direction of absolute ethanol and prevent ethanol from overflowing into normal tissues with the help of digital subtraction angiography and other instruments in the sclerotherapy process, thereby achieving the effects of precise and visualized treatment and reduction of treatment risks and complications. Meanwhile, the viscosity of the ethanol solution can be increased, prolonging the contact time with the blood vessel wall and the acting time and enhancing the efficacy of ethanol sclerotherapy.

The embodiment of the invention discloses a method, device and equipment for determining the position of an indication balloon and a medium, and belongs to the technical field of indication balloons.The method comprises the steps that a blood pressure sequence collected by the balloon at a blocking position is collected; determining a dicrotic wave peak according to the blood pressure sequence; determining a diastole by using the dicrotic wave peak, and generating a diastole blood pressure sequence; calculating a blood pressure time attenuation parameter according to the diastolic blood pressure sequence; and according to the blood pressure time decay parameter, determining a current plugging area of the balloon. The balloon plugging area can be accurately determined and indicated without participation of imaging equipment such as digital subtraction angiography (DSA) and ultrasonic examination.

The invention discloses a method and equipment for training a detection model for detecting vascular adhesion 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; performing blood vessel segmentation based on the multi-modal image data to obtain a graph structure of a blood vessel; according to the graph structure, graph structure features of a single blood vessel and target blood vessel features are extracted, and whether the blood vessel passes through an adhesion blood vessel is marked; constructing training data based on the graph structure features of the single blood vessel, the target blood vessel features and the labeling result; and inputting the training data into a detection model for vascular adhesion detection to obtain a detection result, so as to train the detection model for vascular adhesion detection. By means of the scheme, accurate positioning and efficient detection of vascular adhesion can be improved.

The utility model relates to DSA equipment. The DSA equipment comprises a C-shaped arm, an X-ray tube, an inverter box and a high-pressure oil tank. The high-pressure oil tank is connected with the inverter box through a first cable; the high-voltage oil tank and the X-ray tube are both arranged on the C-shaped arm, the inverter box is used for providing high-frequency alternating current for the high-voltage oil tank, and the high-voltage oil tank is used for converting the high-frequency alternating current into high-voltage direct current so as to provide a high-voltage direct-current electric field for the X-ray tube, so that X-rays are generated in the X-ray tube. The high-voltage oil tank and the X-ray tube are arranged on the C-shaped arm, so that the distance between the high-voltage oil tank and the X-ray tube is greatly shortened, a high-voltage cable between the high-voltage oil tank and the X-ray tube is shortened or canceled, and the situation that when the system works in a kV pulse mode, a large number of invalid rays are generated when voltage drops is avoided; therefore, the radiation dose of doctors and patients is reduced. And meanwhile, the second cable is short, so that the difficulty and the cost of cable laying can be reduced.

An electrophysiological medical device includes a catheter, a magnetic positioning system, and a processing unit. The catheter is inserted into the human body. The magnetic positioning system includes a magnetic field generator and a magnetic sensor. The magnetic field generator generates a magnetic field, and the magnetic sensor moves with the catheter to detect first magnetic field information indicating the catheter's position within the body. The processing unit acquires the first magnetic field information from the magnetic positioning system and generates the catheter's original position information based on this information. The processing unit also acquires relevant information from a digital subtraction angiography (DSA) device that causes magnetic interference to the magnetic positioning system, corrects the catheter's original position information based on this information, and obtains and outputs the corrected position information of the catheter. This electrophysiological medical device can specifically address the impact of DSA equipment on the positioning accuracy of the magnetic positioning system, thereby improving positioning accuracy, avoiding the impact of low positioning accuracy on diagnosis and operation, and ultimately improving medical outcomes.

The invention relates to a four-dimensional digital subtraction angiography reconstruction method and system based on space-time Gaussian sputtering, and the method comprises the steps: obtaining a 2D-DSA rotation subtraction sequence of a same object, and reconstructing the 2D-DSA rotation subtraction sequence based on an FDK algorithm to obtain a 3D-DSA initial image; then, a 4D-DSA reconstruction model is trained through the 3D-DSA initial image, and a trained 4D-DSA reconstruction model is obtained; finally, the normalization time tj is input into the trained 4D-DSA reconstruction model, 4D-DSA reconstruction is completed according to the microvoxelization module, and a reconstructed image of a time frame corresponding to the normalization time tj is obtained. According to the method, the geometric morphology and hemodynamic information of the blood vessel can be well reconstructed, multi-angle dynamic blood vessel visualization at any time point can be supported, and blood vessel overlapping artifacts and data inconsistent artifacts can be well corrected.

The invention discloses an automatic puncture painless interventional therapeutic apparatus for prosopalgia, which relates to the technical field of medical instruments and comprises a digital subtraction angiography, a manipulator arranged on the outer side of the digital subtraction angiography and a controller (not drawn in the figure) for controlling the manipulator to move. The mounting disc is fixedly connected to the end face of the mechanical arm, the fixing disc is fixedly connected to the end face of the mounting disc, the adjusting mechanism is fixedly connected to the end face of the mounting disc, the fixing and locking mechanism is connected with the fixing disc, and the adjusting mechanism comprises a driving motor fixedly connected to the end face of the mounting disc and a bearing disc fixedly connected to the output end of the driving motor. According to the automatic puncture painless interventional therapeutic apparatus for prosopalgia, a driving motor is started to drive a bearing disc to rotate until an opening of the bearing disc right faces a needed movable block, then an electric telescopic rod of the movable block is started, the movable block is inserted into the bearing disc, and replacement of a puncture needle is achieved.

The disclosure provides a method and device for realizing double-image cooperation in an operating room, comprising: acquiring surgery type information, selecting a target digital subtraction angiography (DSA) mode from multiple DSA modes based on the surgery type information, controlling a suspension type DSA sub-device to be placed at a main scanning position above an operating table after determining that the target DSA mode is a double-board cooperation mode, and simultaneously controlling a mobile DSA sub-device to be moved to an auxiliary scanning position beside the operating table through a drive base to enter a cooperative positioning state; in the cooperative positioning state, controlling the suspension type DSA sub-device and the mobile DSA sub-device to synchronously collect surgery region image data, acquiring main field of view image data and auxiliary field of view image data; and performing image display based on the main field of view image data and the auxiliary field of view image data. The embodiment of the disclosure can support double-board cooperation and single-board mode switching, and adapt to different surgery scenes.

The invention relates to the technical field of disease early warning, in particular to a heart and cerebral vessel early warning method based on vulnerable plaque image recognition. Comprising the following steps: multi-modal image data acquisition and preprocessing: synchronously acquiring an intravascular optical coherence tomography image, a digital subtraction angiography image and a magnetic resonance imaging image of a target blood vessel region, and carrying out geometric calibration and noise suppression processing on the images to generate standardized three-dimensional blood vessel structure data; dynamic spatio-temporal feature extraction: performing dynamic feature extraction on the three-dimensional vascular structure data based on a deep learning network of a spatio-temporal attention mechanism, and obtaining morphological parameters, component distribution features and haemodynamics related spatio-temporal features of a plaque region; according to the invention, the comprehensiveness of vulnerable plaque identification and the accuracy of an early warning result can be improved, and a scientific basis is provided for early intervention of cardiovascular and cerebrovascular diseases.

This application provides a target detection method, device, electronic device, and medium based on DSA images. The method includes acquiring a digital subtraction angiography (DSA) image, inputting the DSA image into a pre-trained target recognition model, obtaining a target recognition result including a reference DSA image. The reference DSA image carries a microguidewire prediction frame and a catheter prediction frame. The microguidewire prediction frame corresponds to first identification information, and the catheter prediction frame corresponds to second identification information. The positional relationship between the microguidewire and the catheter is determined based on the reference DSA image, the first identification information, and the second identification information. According to the solution provided in this application, the positional relationship between the microguidewire and the catheter is detected by replacing manual detection with a force-tactile module using a pre-set target recognition model. This effectively improves the efficiency of real-time target detection and positioning of the catheter and guidewire, thereby reducing the response time of interventional operations by vascular interventional surgery robots.

1. The name of the design product: X-ray computed tomography equipment. 2. The use of the design product: for X-ray photography imaging, and static 2D imaging, dynamic 2D imaging, digital subtraction angiography and 3D X-ray photography imaging of animals. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 2 perspective view. 5. Design 1 is designated as the basic design.

This paper proposes a method for analyzing coronary artery stenosis using DSA (digital subtraction angiography) based on matching measurement. This method combines image preprocessing, catheter calibration, vessel segmentation, and centerline extraction on DSA images with an improved MoM (Measure of Match) model to accurately measure vessel diameter based on matching and calculate the stenosis rate of the stenotic area. This method also features an automatic correction function, enabling automated correction of the stenotic area based on the reference diameter of a normal vessel after stenosis detection, thereby improving detection accuracy and stability. This method is suitable for rapid and accurate analysis of coronary artery stenosis, effectively reducing manual operation errors and demonstrating a high degree of automation.

Method for determining a tissue parameter of the tissue that can be determined from the passage of a contrast medium through the tissue on the basis of a series of temporally successive two-dimensional X-ray images (9) of digital subtraction angiography showing the temporal spread of the contrast medium in the tissue and a vascular system (12) present in the area of ​​the tissue, characterized in that - at least some of the vessels of the vascular system (12) are located by segmentation in the X-ray images (9), - segmented vessels are assigned an interpolation intensity determined by interpolation from the intensities of at least some of the pixels surrounding the segmented vessel, so that vessel-corrected X-ray images (9) are produced, and - the tissue parameters for at least some of the pixels of the series of vessel-cleaned X-ray images (9) are determined, - wherein, in the segmentation of the vessels, at least one time-dependent intensity threshold is determined and used to distinguish between tissue intensities and vessel intensities.

A method for correcting a digital subtraction angiography image is disclosed. The method includes: performing a first registration on a first scan image and a reference image to obtain a second scan image; performing a second registration on a region of interest of the second scan image and a region of interest of the reference image to obtain a third scan image; calculating a buffer area between the third scan image and the second scan image, and performing transition processing on the buffer area, to obtain a processed buffer area image; and fusing the second scan image, the third scan image, and the processed buffer area image to obtain a corrected scan image. A computer device and a non-volatile computer readable storage medium are also disclosed.

The invention discloses an intracranial dura mater arteriovenous fistula medical image analysis method, and relates to the technical field of medical image.The method comprises the steps that a digital subtraction angiography dynamic image sequence after interventional embolization treatment is obtained; performing motion compensation on each frame of image in the dynamic image sequence; extracting a time-varying track of the signal intensity of the contrast agent from the dynamic image sequence after motion compensation; identifying a blood vessel dynamic mode based on the track of the contrast agent signal intensity changing along with time; performing dynamic enhancement processing on the blood vessel image area in the blood vessel dynamic mode according to the hemodynamic characteristics; extracting a blood vessel signal from the dynamic image under the enhancement processing; and reconstructing a three-dimensional model under the cerebrovascular network in a three-dimensional space based on the blood vessel signal. According to the method, a reliable basis is provided for a doctor to evaluate the treatment effect, judge the residual focus or recruit the collateral vessel, misdiagnosis and misjudgment are avoided, and therefore the treatment effect and safety of a patient are improved.

1. Name of the product in this design: X-ray computed tomography equipment (Haorui). 2. Application of this design: for X-ray imaging, as well as static 2D imaging, dynamic 2D imaging, digital subtraction angiography and 3D X-ray imaging of animals. 3. The key design features of this product are its overall shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The utility model discloses a rotating mechanism and digital subtraction angiography equipment. The rotating mechanism comprises a retainer, a bearing pack and a rotating arm. The bearing pack is arranged on the retainer and comprises a plurality of bearings; the rotating arm is arranged on the retainer, provided with a limiting groove and capable of rotating relative to the retainer in the extending direction of the limiting groove; wherein the limiting groove is provided with a plurality of groove walls which are connected in sequence, and each groove wall is provided with a corresponding bearing which is in running fit with the groove wall. The problem that the image quality is reduced due to the fact that the rotating arm easily shakes can be solved.

The invention discloses a method and equipment for training a detection model for detecting vascular adhesion 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; performing blood vessel segmentation based on the multi-modal image data to obtain a blood vessel map and blood vessel information; extracting a binary image of a single blood vessel according to the blood vessel image and the blood vessel information, and marking whether the single blood vessel passes through an adhered blood vessel; constructing training data based on the multi-modal image data, the binary image of the single blood vessel and a labeling result; and inputting the training data into a detection model for vascular adhesion detection to obtain a detection result, so as to train the detection model for vascular adhesion detection. By means of the scheme, accurate positioning and efficient detection of vascular adhesion can be improved.

The application discloses a kind of coronary angiography calcification identification method, system and storage medium based on deep learning, it is related to medical cardiovascular image processing technical field.The present application comprises the following steps: the comprehensive evaluation of different blood vessel angiography projection position of the to-be-tested coronary artery;According to the CT angiography, mark the calcification lesion on the original digital subtraction angiography image independently;Using U-net neural network combined with focal loss function learning and identifying the marked calcification lesion;The U-net neural network output result is input into the LSTM network to calculate the calcification score.The present application improves the accuracy of coronary artery calcification detection and improves the prediction performance of machine learning algorithm.

1. Name of the designed product: medical image equipment rack. 2. Use of the designed product: used as medical equipment, for digital subtraction angiography, etc. 3. Design points of the designed product: in shape. 4. Pictures or photos that best show the design points: design 1 perspective view 1. 5. The top of the designed product is not easily visible or not visible during use, and the design top view is omitted. 6. Design 1 is designated as the basic design.

The embodiments of the present application provide a three-dimensional digital subtraction angiography method, device, electronic device and storage medium. First, a method is proposed to use an X-ray imaging system to shoot multiple frames of images of an object to be measured with markers, and by calculating the markers in the image, a high-precision imaging geometric relationship between the imaging system and the object to be measured is obtained, thereby obtaining a CT image reconstruction method for a three-dimensional image of the object to be measured. The CT image reconstruction method is used to reconstruct CT images of multiple frames of images shot under mask operation and filling operation respectively, and the grayscale of the corresponding coordinate pixels of the two three-dimensional images of filling operation and mask operation are subtracted to obtain a subtraction angiography image. Since the coordinate system is established on the object to be measured, the coordinate system of the object to be measured includes the movement or change of the object to be measured. Therefore, the three-dimensional image result of the object to be measured is highly accurately matched and aligned, and various movements and errors in the CT operation state are automatically and effectively eliminated, so that a three-dimensional digital subtraction angiography image is obtained with high precision.

This invention provides a femoral artery compressor after DSA (Digital Subtraction Angiography) in neurosurgery, belonging to the field of medical device technology. The femoral artery compressor includes a support plate, a support frame fixedly mounted on the upper end of one side of the support plate, a fixing frame mounted on the upper end of the support frame, and a clamping component on the lower side of the fixing frame. A cavity is formed inside the support plate, and a driving component is installed within the cavity. In this design, the driving component, in conjunction with a first piston plate, effectively avoids the risks associated with excessive compression pressure. When excessive compression pressure causes a drop in the patient's lower leg temperature, the thermally expanding liquid in the cavity contracts. The driving component then drives the threaded rod and the first piston plate, introducing some air from the airbag into the piston cavity, reducing the pressure of the compression plate on the rupture site and preventing discomfort such as coldness, numbness, and pain in the lower limbs. Simultaneously, the pressure adjustment process requires no manual intervention, responds promptly, reduces the operational burden on medical staff, and ensures the safety of compression hemostasis.

The utility model discloses a bearing structure and digital subtraction angiography equipment, the bearing structure comprises a driving gear, a first speed reduction part and a limiting part, and the driving gear is used for providing torque; the first speed reduction component comprises a speed reduction component body, an input shaft and an output shaft, the input shaft and the output shaft are arranged on the speed reduction component body, the input shaft is connected with the driving gear, and the output shaft is used for being connected with a load so as to transmit torque provided by the driving gear to the load; the limiting piece is arranged on the speed reduction component body, the limiting piece is provided with a limiting channel extending in the axial direction of the speed reduction component body, and the limiting channel is configured to be used for a cable to penetrate through. According to the invention, the problem of loss caused by cable winding or interference on movement of the suspension part can be improved.

The disclosure provides solutions for reducing exposure to radiation in digital subtraction angiography. For this, a method for generating a virtual mask image is proposed. A plurality of images of an object is captured by an angiography apparatus. For at least some of all pixel positions, an extreme pixel value of the pixels of the plurality of images in the respective pixel position is respectively ascertained. The virtual mask image is created from the extreme pixel values at the respective pixel positions.

The invention discloses a coronary DSA image-based PCI drug balloon surgery effect prediction method and device, computer equipment and a storage medium, and relates to the field of PCI drug balloon postoperative effect prediction, and the method comprises the steps: obtaining preoperative coronary digital subtraction angiography image data of a patient, executing quantitative coronary angiography analysis, and determining the effect of the PCI drug balloon surgery. The method comprises the following steps of: constructing a multi-modal characteristic data set as model input, inputting the multi-modal characteristic data set into a pre-trained machine learning model, and outputting a postoperative effect prediction result of vasodilation gain after drug balloon implantation. According to the method, predicting and evaluating the postoperative immediate effect and long-term effect of drug balloon implantation of a patient by integrating multi-modal clinical data; the point estimation and confidence interval of the expansion gain are directly output, and the sensitivity prompt is given, so that pilot-scale trial and error are reduced, the operation and perspective time is shortened, contrast agent and radiation exposure is reduced, accurate landing of the interventional non-implantation concept is promoted, and the interventional non-implantation operation process can be guided and planned in the whole process.

The present application discloses a method, device, and storage medium for training a segmentation model for segmenting aneurysms. The method comprises: acquiring multimodal image data, wherein the multimodal image data includes digital subtraction angiography data, CT angiography data, and magnetic resonance angiography data; performing vessel segmentation and labeling aneurysms based on the multimodal image data to obtain vessel segmentation results and aneurysm labeling results; constructing labeling data based on the vessel segmentation results and the aneurysm labeling results; and inputting the vessel segmentation results and the labeling data into a segmentation model to perform aneurysm segmentation to obtain an aneurysm segmentation result, thereby training the segmentation model for segmenting aneurysms. Utilizing the solution of the present application, the segmentation accuracy of the segmentation model can be improved to obtain more accurate aneurysm segmentation results.