231 results about "Mr 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.

Example systems and techniques are disclosed that may determine at least one treatment strategy for a lesion. An example system may include memory configured to store clinical guidance and / or informatics for a PCI procedure and processing circuitry communicatively coupled to the memory. The processing circuitry may be configured to determine the plurality of treatment pathways. The processing circuitry may be configured to obtain angiogram imaging data of a coronary vasculature of a patient. The 2024 / 058837 processing circuitry may be configured to determine the clinical guidance and / or informatics based at least in part on the angiogram imaging data. The processing circuitry may be configured to output for display the angiogram imaging data and at least a portion of the clinical guidance and / or informatics, wherein the at least a portion of the clinical guidance and / or informatics is overlaid onto the angiogram imaging data.

The invention discloses a cardiovascular intervention catheter storehouse scheduling system based on demand analysis, and relates to the technical field of medical informatization, and the system comprises a data collection module which is used for obtaining an operation plan, a doctor identifier, a step sequence and an angiography image; the feature extraction module is used for generating a situation feature vector according to the contrast image; the standard deduction module is used for deducing subsequent steps and corresponding catheter sets; the selection probability calculation module is used for querying a doctor preference knowledge base in combination with the doctor identifier, the step code and the feature vector to obtain catheter selection probability distribution; the first judgment module is used for outputting a predicted catheter model if the catheter selection probability exceeds a first threshold value, otherwise, counting the catheter use frequency of the historical data of the doctor; the second judgment module is used for outputting the corresponding catheter model if the use frequency exceeds a second threshold value, otherwise, determining a predicted catheter model from the standard catheter set according to a rule; the accuracy and clinical suitability of catheter prediction can be improved.

The invention discloses a medical image optimization method and system based on vascular branch selective blurring. The method comprises the following steps: carrying out preprocessing and blood vessel enhancement on a three-dimensional angiography DICOM image; performing precise blood vessel segmentation by using an encoder-decoder network comprising a wide activation and residual cavity space pyramid module; identifying an interference branch which shields the target blood vessel structure at a specific working angle through blood vessel topology analysis; selective blurring repair is performed on the interference branches based on a Poisson equation and a bidirectional convolution LSTM to generate an optimized image which is visually unobstructed and keeps topological continuity. And a safety mechanism of virtual-real combined display and multi-angle plan planning is introduced, so that the reliability of surgical navigation is ensured. And finally, integrating the optimized 3D blood vessel model to a radiography system supporting real-time synchronization, and using the 3D blood vessel model as a road map. The clinical problem that the optimal working angle cannot be used due to blood vessel shielding can be effectively solved, and the precision and safety of an endovascular interventional operation are remarkably improved.

The invention discloses a blood vessel inner diameter correction method and device based on an X-ray total attenuation conservation principle and a storage medium, and belongs to the technical field of medical image processing. The core of the method is to discover and utilize the total net attenuation of a blood vessel filled with a contrast agent in an actual motion state and the total net attenuation of the blood vessel in an ideal static state to be kept in conservation. The method comprises the steps that an angiography image is acquired, and a target area and an initial inner diameter measuring line are determined; calculating the gray scale decline amount and the maximum value of each pixel of the line; on the basis of the conservation principle, the inner diameter of the blood vessel in an ideal state is inversely calculated through the formula that the inner diameter is corrected to be equal to sigma [(delta Ii / delta Imax) * Li]. Furthermore, based on the same principle, the method can be expanded and applied to correction of the two-dimensional contour of the target blood vessel. According to the method, errors caused by motion artifacts and resolution limitation are fundamentally compensated through a volume measurement method based on integration and distribution, and the method is particularly suitable for accurate measurement of severe stenosis blood vessels.

The invention relates to the technical field of blood vessel stenosis grading, in particular to a blood vessel stenosis degree grading system based on coronary angiography images. The method comprises the following steps: dividing a vascular skeleton line of an angiography image into vascular segments based on a bifurcation point, and determining a stenosis point on the vascular segment according to the blood flow velocity difference of the vascular segment at the front edge position of a contrast agent in each frame of angiography image and a neighborhood angiography image; according to the blood vessel diameter difference between each bifurcation point and the other bifurcation points and the distance between the other bifurcation points and the main blood vessel section, a reference adaptation degree is obtained, a reference point of each bifurcation point is selected, and according to the blood flow speed difference between each bifurcation point and the branch blood vessel section of the reference point and the reference adaptation degree, narrow points in the bifurcation points are screened; and grading the blood vessel stenosis degree based on the blood vessel diameter of the stenosis point. The blood vessel skeleton line is divided into two conditions of the blood vessel segment and the bifurcation point to analyze the blood vessel physiological stenosis position, and the accuracy of positioning the pathological stenosis position in the coronary artery is improved.

The invention belongs to the technical field of DSA, and discloses a DSA platform-based multi-state real-time multi-mode image accurate fusion method. After an angiography image is collected on the basis of DSA equipment under the motion condition, accurate DSA blood vessel subtraction image enhanced display is achieved, meanwhile, hepatic artery extraction in a three-dimensional image in preoperative CT is completed, dynamic intelligent fusion of a precise anatomical structure in a preoperative multi-mode CT image and intraoperative local blood vessel development is combined, and the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion is achieved. The intrahepatic lesions and important blood vessels are accurately and visually displayed, operation planning is completed, fusion of three-dimensional information and two-dimensional DSA is utilized, and transvascular and percutaneous interventional operations are accurately guided.

The invention relates to the technical field of image processing, and discloses an interventional navigation method and system based on multi-modal image fusion. The method comprises the following steps: segmenting CT angiography data to form a three-dimensional vascular skeleton model, calculating MRI perfusion data to generate a vascular flow velocity field, and constructing a vascular geometric constraint matrix; performing diffusion reconstruction on the constraint matrix and the instrument position information, and outputting an instrument motion prediction track; estimating the postures of the tips of the X-ray perspective imaging instruments to form instrument-blood vessel space correlation features; safety navigation constraint parameters are generated through distance field calculation; and generating a real-time navigation instruction containing a propulsion distance and a rotation angle by adopting a path planning algorithm. The technical problems that in a traditional interventional navigation system, multi-modal image data fusion is insufficient, instrument motion prediction is inaccurate, and a safety constraint mechanism is incomplete are solved, and the precision, safety and real-time performance of interventional operation navigation are improved.

The invention relates to the technical field of control of intelligent implanted medical instruments, and discloses an aneurysm neck sealing system and a control method. Digital subtraction angiography is adopted to measure the neck diameter in multiple directions, an average value is calculated, the target neck sealing radius is set by combining the size of an embolism device, and it is ensured that instrument type selection is scientific and reasonable. The triggering temperature and recovery kinetics of the shape memory polymer are determined through a constant-temperature experiment, an actual expansion radius model is established, and quantitative control over the heating process is ensured. A heat balance model is established by using the heat capacity and cooling curve of the embolism device, and temperature rise and heating power expressions are deduced, so that fine regulation and control of temperature and power are realized. And natural cooling is performed after heating to a set terminal point, the plugging effect is evaluated in real time through iconography measurement, and compensation heating or model replacement is performed according to actual differences to ensure the plugging effect.

The invention discloses a deep learning time sequence alignment method and system for a multi-view asynchronous sequence image, and the method comprises the following steps: carrying out the image screening of a multi-view asynchronous collected angiography sequence, and constructing a short sequence composed of three frames of continuous images; the method comprises the following steps of: extracting a backbone network by adopting an OfficientNet-B0 as a feature extraction backbone network, removing a classification head of the feature extraction backbone network, replacing the classification head with identical mapping, outputting convolutional features, and performing network optimization in combination with a soft dynamic regularization alignment loss function (soft DTW); extracting a feature vector describing the heart cycle progress through a network; calculating the cosine similarity of the feature vectors among different view angles, constructing a similarity matrix, and searching an optimal alignment path in the similarity matrix by using a soft dynamic time warping algorithm; and outputting a time sequence alignment frame and a corresponding similarity score according to the optimal alignment path. According to the method, the multi-view asynchronous sequence image can be effectively processed, time sequence alignment is realized, and a reliable alignment basis is provided for cardiovascular image analysis.

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

The invention discloses a vascular morphological parameter calculation method and system for a single angiography image, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring an angiography image, preprocessing the angiography image, and segmenting the angiography image into a plurality of target vascular segments; correcting the two-dimensional diameter of the target blood vessel segment to obtain the three-dimensional diameter of the target blood vessel segment; correcting the two-dimensional length of the target blood vessel segment to obtain a spatial three-dimensional length; a diameter-length curve is constructed based on the three-dimensional diameter and the spatial three-dimensional length of the target blood vessel segment, and the morphological parameters of the target blood vessel are calculated by using a moving average method. The three-dimensional diameter and the three-dimensional length of the target blood vessel segment are obtained through correction, morphological parameter calculation is carried out, accurate blood vessel morphological parameter information can be obtained through a single angiography image, overall calculation is simpler, and clinical usability is higher.

A computer-implemented method of processing repeat B-scans of an imaged region of a body part, the imaged region including an anatomical feature in a first subregion and vasculature of interest in a second subregion of the imaged region, to generate cropped B-scans for use in generating OCT angiography data which provides a representation of the vasculature of interest, the method comprising processing each B-scan of the repeat B-scans by: selecting a subset of the data elements of the B-scan such that the selected data elements are distributed along a representation of the anatomical feature in the B-scan; using the selected data elements to define a respective subregion of interest in the B-scan, which includes OCT data acquired from the second subregion containing the vasculature of interest; and cropping the B-scan to leave the subregion of interest in the B-scan.

A method of performing 3D vessel tree reconstruction includes providing segmented binary angiography images, applying a distance transform to the images, and generating distance transformed binary angiography images. The set of distance transformed binary angiography images are provided to a trained 3D vessel reconstruction machine learning model capable of reconstructing 3D vessels. The 3D vessel tree reconstruction machine learning model includes a multi-stage convolutional neural network comprising a multi-stage architecture with (i) a vessel centerline stage, and (ii) a radius reconstruction stage. Resultant 3D reconstructed vessel trees may be used in performing clinical assessment of coronary vessel health, and occlusion.

The present application provides a kind of optical angiography based on optical coherence tomography, first by optical coherence tomography system to biological tissue B scanning and C scanning, obtains three-dimensional structure image.The interference spectrum of each A scanning signal of B scanning is preprocessed, and the interference spectrum is decomposed into N sub-interference spectrum signals, N is greater than or equal to 2.Fourier transform is carried out to the sub-interference spectrum signal, and N groups of structure map data at the same position are obtained.Speckle variance is solved to N groups of structure map data, and speckle variance is averaged in depth direction.Compared with prior art, the present application angiography method does not need to repeat signal acquisition at the same position, greatly improves the acquisition speed of system, and can avoid the interference of traditional optical coherence tomography angiography system on reconstructed image caused by living sample shaking.

The invention relates to the technical field of image enhancement, in particular to an angiocardiography high-precision angiography enhancement method and system. The method comprises the steps that an ECG curve of electrocardiosignals before and after contrast agent injection of a patient and a blood vessel image are obtained; determining the compressible degree of each wave band according to the change of different wave bands and the change of the heart rate in the QT interval before and after the contrast agent is injected; determining the increment duration of each wave band in combination with the standard duration, the actual duration and the compressible degree; performing standardized adjustment on the ECG time phase of each frame of blood vessel image in combination with the increment time length and the actual time length of each wave band to obtain a standard time phase; determining a mask matched with each negative film according to the standard time phases of the negative films and the masks; and carrying out image subtraction on each negative film and the matched mask, and carrying out angiography enhancement processing. The blood vessel imaging precision after digital subtraction can be improved, the blood vessel artifact phenomenon is reduced, and the blood vessel imaging precision and reliability are enhanced.

The application relates to a vibration suppression method, device and angiography system. The method comprises the following steps: determining a vibration factor of a gantry according to current dynamic characteristics of the gantry; determining a speed change time according to a current motion speed of the gantry, a target speed and the vibration factor; planning the motion speed of the gantry according to the speed change time, and controlling the gantry to move at the planned motion speed. The vibration suppression method provided by the application has low cost and low calculation complexity in the process of suppressing the vibration of the gantry.

The present disclosure provides to generate ground truth data for training a machine learning (ML) model to infer pressure information (e.g., a pressure curve, a pressure ratio, or the like) for a cardiac artery from border segmentations generated from images of the cardiac artery. The ground truth data can comprise vessel and / or lumen segmentations for several cardiac arteries and associated pressure information for the cardiac arteries. The vessel and / or lumen segmentations can be generated from images from different image modalities (e.g., IVUS, angiographic, CT, etc.). Further, some of the associated pressure information can be based on measured pressure information (e.g., using a pressure sensing catheter) while other associated pressure information can be derived from the vessel and / or lumen border segmentations using numerical analysis techniques (e.g., CFD, or the like).

The invention relates to the technical field of medical image processing, in particular to a fundus angiography image processing system. The system comprises a static atlas initialization unit, a dynamic state evolution unit, a kinetic parameter fitting unit and a fundus dynamics report generation unit. The system constructs an initial static anatomical atlas by acquiring a baseline frame and extracting a static anatomical structure; the core of the method is to analyze a dynamic contrast sequence frame by frame based on the atlas to obtain a time sequence evolution state atlas; under physiological prior constraints, the optimal physiological dynamic parameters are fitted by comparing model prediction with a time sequence evolution graph; and finally generating a fundus dynamics report containing the functional quantitative index and the focus activity heat map. The system can also take the kinetic parameters as historical priori and call the kinetic parameters in a future fitting task so as to dynamically adjust a constraint range and realize individualized closed-loop self-optimization; according to the method, the limitation of traditional static snapshot analysis is overcome, and accurate modeling can be carried out on complex physiological dynamic processes such as perfusion and permeation.

The invention provides an angiography image segmentation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an initial angiography image which comprises a to-be-segmented blood vessel structure region; based on a preset blood vessel response function, performing enhancement processing on a blood vessel structure region contained in the initial angiography image to obtain an enhanced angiography image; segmenting the enhanced angiography image through the target segmentation model to obtain an initial blood vessel structure region corresponding to the enhanced angiography image, the initial blood vessel structure region including a blood vessel center line; and performing expansion processing on the blood vessel center line based on the initial blood vessel structure region to obtain a blood vessel segmentation result. According to the embodiment provided by the scheme, the accuracy and reliability of angiography image segmentation can be improved.

The invention discloses a system and a method for detecting branch blood flow disorder in coronary artery bifurcation lesion interventional therapy. The system comprises a physiological signal acquisition unit, an angiography unit, a coronary intravascular ultrasound unit, a data processing and control unit and a display unit. The method is realized through the following steps: calculating baseline functional indexes and extracting baseline morphological parameters based on radiography and vascular ultrasound images before an operation; the method comprises the following steps: synchronously acquiring real-time radiography and ultrasonic images before and after key steps in an operation, and calculating real-time functional indexes and real-time morphological parameters according to the real-time radiography and ultrasonic images; fusing the real-time data with the baseline data, and calculating a comprehensive damage index; and according to whether the index exceeds a preset threshold, generating a graded early warning signal in real time. According to the method, image data which can be conventionally obtained in an operation is utilized, real-time fusion and quantitative evaluation of function and form information are achieved, objective decision support in the operation is provided for an operator, intervention opportunities can be accurately mastered, and the operation safety and curative effect are improved.

The application relates to the technical field of image processing, and discloses an interventional navigation method and system based on multi-modal image fusion. The method comprises the following steps: CT angiography data is segmented to form a three-dimensional vascular skeleton model, MRI perfusion data is calculated to generate a vascular flow field, and a vascular geometric constraint matrix is constructed; the constraint matrix and instrument position information are diffused and reconstructed, and an instrument motion prediction trajectory is output; an X-ray fluoroscopy image instrument tip posture is estimated, and instrument-vascular spatial correlation features are formed; safe navigation constraint parameters are calculated and generated through a distance field; and a path planning algorithm is used to generate real-time navigation instructions containing a pushing distance and a rotation angle. The application solves the technical problems of insufficient multi-modal image data fusion, inaccurate instrument motion prediction and imperfect safety constraint mechanism in a traditional interventional navigation system, and improves the precision, safety and real-time performance of interventional surgery navigation.

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.

An image pair comprising angiographic image data and bone image data showing the same area of a patient and taken from the same viewing direction onto the patient is acquired and overlaid over a live fluoroscopic image. In order to increase the perceivability of information in the angiographic image and / or the live fluoroscopic image in the overlay, a part of the bone image data is altered, for example attenuated, when the overlay is calculated. (Fig. 1)

Methods, systems, and computer readable media are provided for reduced dose angiography using machine learning (e.g., deep learning) using consistency metrics, the consistency metric indicates a degree of similarity between an estimated segmentation of the angiographic image generated by the machine learning model and a reference angiographic image provided as input to the segmentation of the machine learning model. Briefly, the techniques described herein may use a neural network trained to preserve / maintain the quality of angiographic images by employing consistency metrics while reducing the dose of angiography of potentially harmful chemical contrast agents and / or X-ray radiation.

The application discloses a multi-modal imaging system and method based on an optical low-coherence interference field. The application can realize efficient interference signal collection and imaging under various OCT imaging modes in one set of system and imaging mechanism, and can realize mapping of imaging coordinate systems of various modes through linear transformation by combining the OCT axial imaging characteristics and the scanning setting under the same galvanometer mirror, so that the fusion display of multi-dimensional information in tissues can be completed without complex offline registration. The application can provide wide-area positioning imaging in a large depth range, structure imaging with high resolution and high signal-to-noise ratio, blood flow velocity detection and angiography with a large dynamic range, fast elastic imaging, and can also provide a real-time structure imaging mode with a large lateral field of view, so that a user can observe and operate according to the above information in a dynamic scene. The application has great significance for biomedical application scenes with multi-tissue information requirements.

The present application relates to the technical field of blood vessel stenosis grading, and particularly relates to a blood vessel stenosis degree grading system based on coronary angiography images. The present application divides the blood vessel skeleton line of the angiography images into blood vessel segments based on bifurcation points, determines the stenosis points on the blood vessel segments according to the blood flow velocity difference of the contrast agent front position of the blood vessel segments in each frame of the angiography images and its neighboring angiography images, obtains the reference adaptation degree according to the blood vessel diameter difference of each bifurcation point and the rest bifurcation points, and the distance between the rest bifurcation points and the main blood vessel segment, selects the reference point of each bifurcation point, screens the stenosis points in the bifurcation points according to the blood flow velocity difference of the branch blood vessel segments of each bifurcation point and its reference point and the reference adaptation degree, and grades the blood vessel stenosis degree based on the blood vessel diameter of the stenosis points. The present application divides the blood vessel skeleton line into blood vessel segments and bifurcation points to analyze the physiological stenosis position of the blood vessel, and improves the accuracy of positioning the pathological stenosis position in the coronary artery.

The present application provides a carbon dioxide angiography injector control method and apparatus, and an angiography injector, pertaining to the technical field of carbon dioxide angiography. According to the carbon dioxide angiography injector control method of the present application, a second length of a spring is determined on the basis of a target injection speed, an initial injection speed, and a first length. On the basis of achieving precise control of an angiography injection volume, the degree of pre-compression of the spring can be determined, so that the injection speed and the injection volume can be precisely controlled, thereby meeting injection requirements under different circumstances and improving the accuracy and controllability of CO angiography; the injection speed is increased, and the injection time is shortened, thereby improving the efficiency and speed of the angiography process. The present application fully utilizes the spring in the existing structure, eliminates the need for an additional pressurizing apparatus and the like, and reduces modifications to the device and costs.

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 provides a medical image processing method and a medical image processing device, which can pre-construct a three-dimensional target path image in an occluded blood vessel and solve the technical blind area that the dissection path of a far-end blood vessel cannot be developed due to the fact that a contrast agent cannot pass through the occluded blood vessel in traditional DSA radiography. Moreover, the three-dimensional target path image and a three-dimensional angiography image obtained in the operation can be registered and fused based on a preset mark point to obtain a fused image, and the fused image and the two-dimensional perspective image of the focus area of the patient are registered and fused to obtain a fused image. Accurate space alignment and dynamic superposition of the preoperative three-dimensional target path image, the intraoperative three-dimensional angiography image and the intraoperative two-dimensional perspective image are achieved, a whole-process visible accurate space positioning reference is provided for instrument pushing and vascular access selection of an operator, and the accuracy of surgical operation is improved.