33 results about "Angiography" patented technology

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

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

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

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

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

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

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

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

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

The application discloses a coronary artery and pericoronary fat segmentation system based on self-supervised learning, and belongs to the technical field of medical image analysis.The application solves the problem that an existing supervised learning model needs to depend on a large-scale labeled data set.The CCTA image is acquired through coronary artery CT angiography technology, a coronary artery segmentation model is pre-trained on unannotated CCTA images in a self-supervised learning mode, rich feature representation is learned by the model, then the coronary artery segmentation model is fine-tuned on annotated data, and thus the dependence on a large-scale labeled data set is reduced.The pericoronary fat segmentation algorithm adopts a traditional image processing algorithm, does not need to be annotated, and saves network training cost.The application constructs an efficient segmentation framework, and solves the high-cost problem in existing coronary artery and pericoronary fat segmentation work.The method can be applied to coronary artery and pericoronary fat segmentation.

The application relates to a pulmonary artery virtual angiography generation method and system based on a generative adversarial network. The method comprises the following steps: acquiring processed unpaired plain CT images and real CTPA images as sample data and dividing the sample data into a training set and a verification set; sampling original plain CT images and original CTPA images from the training set and inputting the original plain CT images and the original CTPA images into a generative adversarial network; generating a virtual CTPA image through a generator, performing CTPA domain discrimination through a first discriminator, and reconstructing a plain CT image through an inverse generator; calculating a multi-objective loss function based on an output result, updating network parameters and loss weights, and iteratively training until convergence to obtain a pulmonary artery virtual angiography generation model; and inputting a target plain CT image into the model to output a target virtual CTPA image.

This invention discloses a method for blood collection from the right adrenal vein, belonging to the field of venous blood collection methods. The method includes the following steps: providing an RH catheter, which is a dedicated catheter for hepatic artery angiography, with its tip bent 180° to form a plane, and its tip bent perpendicularly to this plane at 90°; inserting the RH catheter through the right femoral vein, advancing it to form a loop in the right atrium, and then pulling it back to the inferior vena cava; adjusting the direction of the RH catheter, using its three-dimensional curved portion to hook onto the opening of the right adrenal vein, thereby inserting it into the right adrenal vein; injecting contrast agent to confirm that the tip of the RH catheter is located within the right adrenal vein; collecting a blood sample from the right adrenal vein through the RH catheter, with a single blood sample volume of 12 ml; after blood collection, performing post-confirmation angiography to verify whether the RH catheter is located within the target vein. This invention can significantly improve the success rate of right-side catheter insertion and blood collection efficiency, while reducing costs and facilitating operation.

The present application relates to the technical field of pattern recognition, in particular to a cardiovascular disease large model cognitive system, the system comprises: a parameter initialization module constructs a gray matrix and maps a convolution kernel to a virtual flow velocity component, a divergence constraint module calculates a gradient component to generate a divergence value and a correction coefficient, a feature reasoning module generates a feature atlas using convolution kernel operation and outputs a prediction value, and a weight correction module combines a loss value and the correction coefficient to construct a comprehensive gradient to update a parameter matrix in reverse. In the present application, by introducing a fluid mechanics divergence constraint mechanism, the neural network is forced to follow the fluid incompressibility law when extracting features, guiding the evolution of weight parameters in the direction consistent with the fluid mechanics law, ensuring that the feature atlas reflects the hemodynamic state in the coronary artery, inhibiting non-physical noise interference and enhancing the sensitivity of subtle blood flow anomaly perception, and improving the physical interpretability and recognition accuracy of the model in complex angiography image analysis.

A perfusion angiography for peripheral vascular disease assessment in combination with photoplethysmographic imaging. An apparatus (13) and method for performing perfusion imaging receives image sequences concurrently acquired by an X-ray imaging device (2) and by a photoplethysmographic imaging device (3). When temporally aligned, the perfusion status of perfused organ tissue is extracted from both image sequences over time and images are generated for display on a display unit (5) that indicate changes in perfusion status at various locations of the perfused organ tissue, thereby capturing both deep and superficial organ tissue perfusion properties. A reduction in image signal intensity in the photoplethysmographic images caused by a bolus of previously administered contrast agent (10) passing through can be used to temporally align the two concurrently acquired image sequences.

Systems and methods are provided for the automated quantitative assessment of the retinal microvascular system and the quantification of microvascular properties for the diagnosis and treatment of retinal and extraretinal diseases.

An apparatus for suspending air bubbles in a fluid path of a fluid injector system includes an inner chamber having a defined curved inner wall within the housing, an inlet fluid path in fluid communication with the inner chamber, and an outlet fluid path in fluid communication with the inner chamber. The inlet fluid path extends within the chamber tangent to the curved inner wall, and the outlet fluid path is spaced from the inlet fluid path such that fluid flowing in the inner chamber through the inlet fluid path is directed away from the outlet fluid path.The inner chamber is configured to create an internal fluid vortex in an injection fluid entering the inner chamber from the inlet fluid path, and wherein the internal fluid vortex at least temporarily suspends one or more air bubbles in the fluid in the internal vortex and delays the passage of the air bubbles to the outlet fluid path.

The invention provides an automatic virtual coronary intervention planning method based on multi-target heuristic optimization, and the method carries out coronary stent layout planning based on coronary CT or angiography sequence data, and comprises the steps: obtaining the current coronary CT or angiography sequence data, generating a coronary vessel structure model according to a coronary cavity surface and a center line point set, and carrying out coronary stent layout planning according to the coronary vessel structure model. Carrying out topology analysis and smoothing processing on the coronary blood vessel structure model to generate a finite element grid; generating performance feedback indexes according to the finite element mesh and a preset hemodynamic simulation model, wherein the performance feedback indexes comprise blood pressure distribution, a flow velocity field and a fractional flow reserve value; determining an optimal region of a strategy solution set according to the blood pressure distribution, the flow velocity field and the fractional flow reserve value; and determining an optimal individualized coronary intervention planning scheme according to the optimal region and a preset constraint rule, so that the search efficiency and the calculation speed are improved on the premise of ensuring the simulation precision, and the decision-making efficiency and the operation effect are improved.

This invention relates to the field of biomedical technology, specifically a method and apparatus for assisting right ventricular angiography based on pressure signal feedback. The method includes: identifying multiple effective pressure acquisition points; acquiring pressure signals from an initial subject based on these points to obtain an initial pressure sequence set; acquiring a second pressure sequence set using a pre-identified respiratory flow sensor; fusing the multiple initial and second pressure sequence sets to obtain a fused pressure sequence; extracting features from the fused pressure sequence to obtain a staged pressure feature set; acquiring a motion quality index sequence; performing pattern recognition matching between the motion quality index sequence and a standard template sequence to obtain a standard motion similarity; and acquiring multimodal motion prompts based on the standard motion similarity. This invention addresses the problem of right ventricular angiography failures requiring multiple manual interventions due to the subject's inability to autonomously, stably, and accurately execute standardized Warburg maneuvers.

This invention provides a multi-guidewire delivery device and system for vascular intervention. The device includes: a lead screw slide; a base plate fixed on the lead screw slide; an angiography catheter guide sleeve fixed on the base plate, through which the angiography catheter passes; a catheter translation motor located at one end of the lead screw slide; an angiography catheter rotation mechanism connected to the end of the angiography catheter to drive the angiography catheter to rotate; and a first guidewire delivery mechanism and a second guidewire delivery mechanism symmetrically arranged on the base plate. Both the first and second guidewire delivery mechanisms are equipped with a force feedback mechanism to obtain the contact force between the guidewire and the vessel wall during guidewire delivery. This invention can complete the entire surgical procedure of coordinated delivery of angiography catheter and guidewire, coordinated delivery of balloon catheter and treatment guidewire, and coordinated delivery of dual guidewires, and the guidewire delivery mechanism has a force feedback function.

This utility model relates to the field of medical device technology and discloses an angiography catheter and a guiding device. The angiography catheter includes a distal structure, a proximal structure, and a transition structure. By incorporating the transition structure, a cross-section is made perpendicular to the length of the transition structure. The width of the first tapering section gradually increases from one end to the other, and the guiding catheter is fitted onto the outside of the proximal structure between the other end of the first tapering section and the proximal structure. When the angiography catheter guides the guiding catheter through locations with small, tortuous, or spasmodic blood vessels, the first tapering section gradually widens the tortuous or spasmodic areas, allowing the guiding catheter to pass smoothly without damaging the blood vessel. Therefore, the angiography catheter can perform both angiography and guiding procedures without the need for additional instruments, saving time, reducing surgical costs, and lowering the probability of surgical complications.

This invention relates to an unsupervised coronary angiography segmentation method that solves the problems of missing structural information and annotation dependence in two-dimensional segmentation. The method includes the following steps: First, a three-dimensional implicit representation space is constructed based on EG3D, and its neural radiation field is used to model the three-dimensional topology of blood vessels. Second, a dual-channel adversarial generation architecture is designed, and adversarial training between parallel foreground and background generators achieves decoupling of vascular and non-vascular features. Then, combining the multi-angle projection characteristics of angiography, a three-dimensional attention fusion module is used to constrain the geometric consistency of multiple views. Next, a domain-adaptive encoder is developed to embed real images into the EG3D latent space, achieving geometric feature alignment between the real and synthetic domains. Finally, the implicit three-dimensional representation is converted into multi-view projection through differentiable volume rendering, and the foreground generator outputs a spatially continuous three-dimensional blood vessel segmentation mask. This invention can generate three-dimensional structural segmentation maps of blood vessels in coronary angiography under unsupervised conditions.

The application discloses a kind of coronary microvascular disease blood flow reserve acquisition methods based on improved Unet, belong to medical technical field, including the following steps: step S1: obtaining coronary angiography sequence data;Step S2: select the angiography main blood vessel section that needs to be analyzed, utilize the segmented model of depth learning trained to main blood vessel, obtain four frame segmentation images of angiographic agent start filling blood vessel section and full blood vessel section under resting and hyperemia state;Step S3: the image after segmentation is extracted blood vessel center line and based on topological structure limit correction breakpoint, generate continuous and accurate blood vessel center line;Step S4: calculate main blood vessel center line length, according to the frame number used by angiographic agent full blood vessel in sequence calculate blood flow velocity;Step S5: the ratio between blood flow velocity under hyperemia and resting state is obtained by calculation coronary blood flow reserve.The application can be quickly and accurately obtained coronary blood flow reserve based on improved UNet segmentation network only through coronary angiography sequence, can effectively simplify detection step and improve detection efficiency.

This invention discloses an AI-powered intelligent embolization assistance system for arteriovenous malformations of the brain and spinal cord. By integrating an AI-powered intelligent embolization assistance subsystem and an image-guided platform, it matches 3D-DSA angiography images with internally stored hydrodynamic models of different embolization materials to obtain a three-dimensional vascular architecture map of the lesion and surrounding vessels. Through AI calculation, it completes virtual path planning, simulating the embolization path, three-dimensional course, and embolization range. Based on this, it provides real-time navigation of the microcatheter during EVT, intelligently following its path. After the procedure, it re-acquires 3D-DSA angiography images, performs multimodal image fusion, and assesses the embolization status, the three-dimensional relationship with surrounding structures, and potential related complications. This system enables preoperative planning and simulation of the interventional embolization path and range, and real-time navigation, tracking, and assessment of the lesion during the procedure, effectively improving the efficacy of EVT.

The application discloses a three-dimensional coronary artery segmentation method based on multi-scale and global features, and aims at the problems of easy missed detection of distal fine branches, poor blood vessel tree connectivity and high false positive in a three-dimensional coronary artery CT angiography image, and constructs a convolutional neural network MG-Net of a three-dimensional encoding-decoding structure. A local scale adaptation module is introduced at the encoding end, adaptive enhancement of different vessel feature is realized through multi-branch local convolution, a global context integration module is introduced at the network bottleneck layer, a low-overhead axial serialization global interaction mode is adopted to establish a long-distance voxel dependency relationship, so that the consistency of blood vessel running is enhanced, and a semantic gating fusion module is introduced at the decoding end fusion stage, selective screening is conducted on the skip connection features, so that noise propagation is inhibited. The network is trained to learn a real segmentation mask image, and the trained network is used to output a three-dimensional coronary artery blood vessel segmentation result.

Line-field optical coherence tomography (OCT) systems and methods provide enhanced imaging accuracy through k-linearization of interferometric data. The system comprises a swept-frequency laser source, a line-field sensor, and a single-board computer (SBC) with processing capabilities. The system uses a frequency reference to generate a periodic reference pattern detected by a subset of pixels in the line-field sensor. The SBC determines a resampling curve based on the reference pattern to correct for nonlinearities in the laser's wavelength tuning. Applying the resampling curve to k-linearize the interferometric data enables the generation of high-resolution transform-limited depth profiles via inverse Fourier transform. Methods for periodically, continuously, or adaptively recalculating the resampling curve based on a linearity threshold are disclosed. The system can also dynamically update the laser's tuning function to ensure consistent performance. These advancements enable accurate and efficient OCT imaging for applications such as ophthalmology, angiography, and other diagnostic uses.

This invention relates to the field of dilation catheter technology, and more particularly to an infusion balloon dilation catheter system, comprising an infusion balloon dilation catheter assembly, which includes a catheter hub, a stress-relieving tube, an outer tube, a balloon, and a tip tube connected in sequence; a catheter tip vascular image acquisition module, used to determine whether the balloon catheter is within the true lumen of the blood vessel; a support wire tip image acquisition module, used to acquire an image of the support wire morphology and the corresponding vascular morphology under X-ray fluoroscopy; and a support wire tactile sensing module, used to acquire the force changes, support wire morphology image, and corresponding vascular morphology image during support wire advancement to determine whether the support wire support force is adequate, and to adjust the support wire posture when the support wire support force is insufficient. The infusion balloon dilation catheter system of this invention simultaneously possesses balloon dilation and angiography functions, and utilizes image and data processing technology to improve the intelligence level of medical devices.

This invention provides a cerebral artery pressurized perfusion device, belonging to the technical field of forensic identification auxiliary equipment. It includes an operating table, a reservoir, a first peristaltic pump, perfusion needles, a touch panel, and an electrical control box. The reservoir is placed on the upper surface of the operating table's base plate. The first peristaltic pump is connected to the lower surface of the operating table's top plate. Two perfusion needles and the first peristaltic pump are connected by a flexible hose with a three-way connection. The touch panel is detachably connected to the operating table. The electrical control box is fixedly connected to the upper surface of the operating table's base plate, and the first peristaltic pump is electrically connected to the electrical control box. Compared to traditional manual injection of contrast agent, this invention allows for automatic injection, flexible adjustment of the injection speed, and prevention of air bubble injection, shortening working time while ensuring the quality of subsequent arterial angiography images. It possesses good practicality and economy.

This invention discloses a method and system for vascular ultrasound-assisted guidance based on coronary interventional therapy images, belonging to the field of vascular ultrasound-assisted guidance technology. The method includes image acquisition, data registration, quantitative analysis, preoperative planning, and intraoperative navigation. This method constructs a multimodal temporal and spatial alignment framework by simultaneously acquiring DSA angiography image sequences, IVUS image data, ECG signals, and respiratory motion signals. It then sequentially performs cardiac cycle correction, respiratory displacement correction, IVUS-DSA three-dimensional spatial registration, lesion structure segmentation and quantification, digital twin-driven preoperative planning, and intraoperative dynamic correction and real-time navigation integrating electromagnetic positioning and fiber optic shape sensing. This invention significantly improves the accuracy of device positioning, the reliability of plaque assessment, and the scientific nature of stent implantation planning in coronary interventional therapy, and can effectively reduce the incidence of complications such as dissection, perforation, or poor apposition. It has good clinical applicability and system integration potential.

This invention discloses an adaptive dilatation ureteral stent that reduces irritation. The stent utilizes an inflatable balloon to progressively dilate the ureteral stenosis, and inhalation causes the balloon to contract, facilitating angiography to observe the degree of stenosis retraction. This design better meets the individual dilatation needs of patients and reduces the risk of needing a second stent placement due to stenosis retraction. The stent is characterized by comprising a main body and an inflation device. The main body consists of a renal involute, an inlet port, a supporting connecting tube, a bladder involute, and an outlet port. The other end of the renal involute is positioned at and connected to one end of the supporting connecting tube. The inlet port is located on the side of the renal involute. The bladder involute is a closed-end arc-shaped structure, with the other end positioned at and connected to the other end of the supporting connecting tube.

The present application relates to the field of digital reconstruction and virtual angiography technology, and particularly relates to a virtual esophageal barium contrast generation method based on CT image segmentation and digital reconstruction X-ray image rendering, comprising the following steps: S1, collecting chest or upper abdominal CT images of a patient and preprocessing; S2, automatically segmenting an esophageal region from the original CT image; S3, dividing the entire esophageal region into three parts, namely, a lumen, a wall and a mucosa; S4, obtaining a segmentation result of a tumor; S5, mask calculation; S6, filling CT values for different parts of the esophagus to simulate the state of esophageal filling phase and mucosal phase under different barium doses; S7, fusing the original CT image with the filling phase image and the mucosal phase image respectively to obtain a fused three-dimensional CT image, modeling the propagation process of X-rays in the fused three-dimensional CT volume data by using a DRR technology, and generating a virtual esophageal barium meal image. The present application does not require the patient to swallow a barium meal, has no X-ray exposure risk, has low dependence on the experience of operators, and has stable and reliable image quality.