100 results about "Vascular imaging" patented technology

The invention discloses a human body peripheral blood vessel photoacoustic three-dimensional imaging device and an imaging method thereof, and belongs to the field of blood vessel imaging. Through high resolution and functional monitoring capability of photoacoustic imaging, detailed blood vessel structure and blood flow dynamic information are provided, and early recognition and treatment effect evaluation of common lesions such as diabetic foot and peripheral artery diseases are promoted; meanwhile, a mechanical system is adopted, so that the detection front end with relatively high quality can be borne, and stable operation is realized, and a relatively good photoacoustic imaging result is obtained; the system has a highly stable accurate scanning imaging mode, and is convenient for multiple imaging modes of clinical application; through the arrangement of the imaging water tank and the lifting structure of the imaging water tank, switching of imaging modes in a limited space can be ensured, so that the device can be suitable for the layout of a portal type three-dimensional moving device. The system is expected to promote the portability of equipment, reduce the research and development cost of the equipment, be widely applied to clinical practice and community medical treatment, and improve the disease management level.

The invention discloses a patient venipuncture auxiliary guiding device based on intelligent visual identification, the device is provided with a limb placing plate, the limb placing plate comprises a bottom plate and a silica gel lining plate, and a comfortable placing position can be provided for the limbs of a patient. The linear guide rail is installed on the right side of the top of the limb placing plate. The electric control sliding block can slide on the rail. The Z-axis lifting mechanism is connected with the electric control sliding block, the servo motor drives the lead screw to rotate, and the movable sleeve drives the right-angle type blood vessel imaging mechanism to ascend and descend in the vertical direction. The right-angle type blood vessel imaging mechanism is composed of two supports, a top blood vessel imager and a side blood vessel imager are embedded in the supports, imaging ports face the upper surface and the side face of the limb to be punctured respectively, and the direction and the depth of blood vessels can be clearly shown. In addition, a controller is installed on the side wall of the bottom plate and can control an electric control linear guide rail, an electric control sliding block and a servo motor, medical workers are assisted in accurately finding the blood vessel position, and the success rate of venipuncture is increased.

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 invention belongs to the technical field of ultrasonic angiography, and particularly relates to a peripheral angiography method and system based on ultrasonic tomography and a storage medium. Acquiring an image of a to-be-detected part through an ultrasonic tomography system to obtain a plurality of frames of three-dimensional cross section image sequences; synchronously acquiring pulse signals; processing the three-dimensional cross section image sequence by adopting a target detection neural network, and outputting a preliminary observation value of the blood vessel position; sequentially performing optimal state estimation on the blood vessel position of each frame of three-dimensional cross section image based on a Kalman filtering algorithm, and outputting the optimal blood vessel position estimation of each frame; wherein the initial observation value of the blood vessel position serves as an observation value of Kalman filtering, and a state transition equation of a Kalman filtering algorithm is constructed according to the blood vessel position, the blood flow speed and the pulse signal; and according to the optimized three-dimensional cross section image sequence, reconstructing to obtain a dynamic three-dimensional blood vessel model. Dynamic artifact suppression and state smoothing are achieved based on the pulse signals, and image definition is provided.

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).

This application relates to a method and related apparatus for vascular imaging of an artificial artery and vein arm. The method includes the following steps: acquiring superficial near-infrared images and deep near-infrared images; layering the deep near-infrared images based on the superficial near-infrared images to obtain venous and arterial image information; acquiring pulsed Doppler ultrasound images and obtaining the relative positional relationship between the venous and arterial vessels based on the pulsed Doppler ultrasound images; calculating theoretical arterial image information based on the relative positional relationship from the venous image information; matching the theoretical arterial image and the arterial image, and completing the arterial image based on the matching result. This application has the advantage of improving the imaging effect of vascular imaging instruments.

The invention relates to the technical field of medical instruments, in particular to a painless blood vessel puncture device with an intelligent positioning function, which comprises a base, a blood vessel imaging instrument is arranged on the base, and an auxiliary mechanism is arranged on the base; the auxiliary mechanism comprises an annular mounting frame, six stretching pieces are evenly arranged in the mounting frame in the circumferential direction, each stretching piece comprises a pull rod, a telescopic belt is arranged in the mounting frame and arranged on the pull rod of the six stretching pieces in a sleeving mode, so that the telescopic belt is hexagonal, the pull rod is connected with a separation piece, and the separation piece is connected with a pull rod. The separating piece can drive the pull rod to reciprocate in the axial direction of the mounting frame, the pull rod is connected with a pressing piece, and the pressing piece can drive the pull rod to reciprocate in the radial direction of the mounting frame; the stretching piece on the top side is connected with a liquid spraying mechanism, the liquid spraying mechanism comprises a disinfection piece and a pain relieving piece, and disinfection alcohol is contained in the disinfection piece.

The application provides a three-dimensional reconstruction and quantitative analysis consistency control method and system of multi-center CT blood vessel imaging data, an electronic device and a storage medium, and relates to the technical field of medical image processing. The method comprises the following steps: first, synchronously acquiring original projection data of multi-center CT blood vessel imaging, blood vessel center line topological data and blood vessel respiratory motion displacement data, generating a blood vessel deformation correction matrix based on the respiratory motion displacement data, and dynamically registering the blood vessel center line data by using the matrix to obtain corrected center line data; then, inputting the corrected center line data and the original projection data into a multi-modal feature fusion network for three-dimensional reconstruction to generate an initial blood vessel model; then, performing morphological parameter quantitative analysis on the initial model; finally, comparing the analysis result with a clinical standard and adjusting the model parameters to output a target blood vessel three-dimensional model. The application improves the geometric accuracy and clinical applicability of the blood vessel model reconstruction.

The invention relates to a manufacturing method of a bionic blood vessel model and the bionic blood vessel model.The manufacturing method of the bionic blood vessel model comprises the steps that a three-dimensional computer model of a blood vessel lumen is constructed according to blood vessel image data; according to a three-dimensional computer model of a blood vessel lumen, a water-soluble polyvinyl alcohol material is adopted to manufacture a water-soluble inner core through a 3D printing technology; the water-soluble inner core is subjected to operation for N times or less, wherein N is larger than or equal to 1; the outer surface of the water-soluble inner core is evenly covered with a polyvinyl alcohol solution; the water-soluble inner core covered with the polyvinyl alcohol solution is subjected to at least one time of freeze thawing treatment, so that the polyvinyl alcohol solution is solidified into polyvinyl alcohol hydrogel; after N times of operation are completed, the water-soluble inner core covered with the polyvinyl alcohol hydrogel is soaked in ultrapure water so that the water-soluble inner core can be dissolved, and therefore the bionic blood vessel model with the good shape and mechanical property is obtained.

This invention discloses a fluorescence-enhancing nanoparticle, its preparation method, and its applications, relating to the fields of organic fluorescent molecules and bioimaging technology. The nanoparticle comprises: NIR-II fluorescent molecules and an amphiphilic polymer encapsulating the NIR-II fluorescent molecules; the amphiphilic polymer has a hydrophilic segment and a rigid hydrophobic segment. The nanoparticle of this invention, based on "carrier microenvironment engineering," utilizes the rigid confinement and interfacial isolation provided by the amphiphilic polymer with the rigid hydrophobic segment for dual brightening, serving as a universal brightening platform applicable to various NIR-II fluorescent molecules. This nanoparticle can significantly improve aqueous phase quantum yield, enhance contrast and resolution in in vivo vascular imaging, improve deep tissue penetration, increase imaging sensitivity, and facilitate detection under low signal conditions. It also exhibits good stability and biocompatibility, supporting lesion imaging and intraoperative navigation applications.

This medical device comprises: a three-dimensional image data acquisition unit that acquires three-dimensional image data of a target blood vessel obtained by imaging the target blood vessel with a tomographic imaging device and first orientation information for specifying the orientation of the target blood vessel; a two-dimensional image data acquisition unit that acquires two-dimensional image data of the target blood vessel captured by an X-ray imaging device; an estimation unit that estimates second orientation information for specifying the orientation of the target blood vessel in the X-ray imaging device; and a generation unit that uses the first orientation information and the second orientation information to generate, from the three-dimensional image data, a display image in which the direction of the displayed target blood vessel is corrected, generates a two-dimensional image of the target blood vessel from the two-dimensional image data, and generates a superimposed image in which the target blood vessel displayed in the display image and the target blood vessel displayed in the two-dimensional image are superimposed.

This invention discloses an intelligent PICC catheter and positioning system for tumor chemotherapy, belonging to the field of biomedical engineering technology. This invention addresses the problem of inaccurate puncture due to the inherent subjectivity in puncture point selection in existing technologies. By assessing the importance of vascular imaging features and blood flow parameters, it can identify the features most influential on predicting puncture results, thereby reducing model complexity and improving model efficiency and generalization ability. Furthermore, by weighting the input data according to feature importance, the random forest model focuses more on important features, thus improving the accuracy and reliability of model predictions. Through the collaborative work of multiple modules, the positioning system is more accurate and efficient in recommending the optimal puncture point, effectively improving the puncture success rate, reducing the risk of complications, providing strong decision support for medical staff, and enhancing the patient's treatment experience and safety.

A device for characterizing a wound of an individual. The device includes a non- infrared-filtered imaging camera operable to capture images using visible and near infrared (NIR) wavelengths; an illumination source having one or more red / green sources and one or more NIR sources, wherein the one or more red / green sources are addressable independently from the one or more NIR sources; a controller in electronic communication with the imaging camera and the illumination source, the controller configured to: selectively activate the one or more red / green sources or the one or more NIR sources to illuminate the wound; capture at least one image of the wound illuminated by the activated sources; process the at least one captured image to provide one or more of oxygenation, pulsation, vascular imaging, and photoplethysmography information of the wound.

The application relates to an identification method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a blood vessel image of an eye to be examined, the blood vessel image being generated by optical coherence tomography blood vessel imaging; obtaining statistical features of a macular region in the blood vessel image; and identifying a non-perfusion region in the blood vessel image based on the statistical features. The method can effectively improve the flexibility of identifying the non-perfusion region.

A vessel imaging sequence including plurality of vessel imaging frames and a corresponding ECG signal are generated by encoding, using a first encoder, an input vessel imaging sequence to generate a plurality of vessel latent space vectors, each vessel latent space vector corresponding to an input vessel imaging frame of the input vessel imaging sequence, encoding, using a second encoder, an input ECG signal to generate a plurality of ECG latent space vectors, decoding, using a first decoder, the plurality of vessel latent space vectors and the plurality of ECG latent space vectors to generate the vessel imaging sequence and decoding, using a second decoder, the vessel latent space vector and the ECG latent space vector to generate the ECG signal.

Systems and methods described herein relate to developing a virtual anatomical model of a coronary artery with specific conditions and related fluid properties, such as the velocity and viscosity of selected fluid, to provide accurate parameters for an intravascular imaging procedure. The resulting parameters may relate to the contrast agent volume, time for pullback of intravascular tool, and contrast agent injection force. The models may be patient specific, based on characteristics of a patient's artery. The systems and methods may be utilized for PCI planning, vascular device design and process optimization.

The application relates to an intravascular ultrasound catheter, a blood vessel ultrasound detection system and a control method. The intravascular ultrasound catheter comprises a tube body, a liquid injection port arranged at the proximal end of the tube body, and a liquid outlet arranged at the distal end of the tube body; a detection assembly comprising a transmission shaft, a first detection device and a second detection device, the first detection device and the second detection device being arranged at the distal end of the transmission shaft respectively, the second detection device being located on the proximal end side of the first detection device, the first detection device being an ultrasonic transducer, the transmission shaft being located in the tube body and capable of rotating relative to the tube body and moving along the axial direction of the tube body; wherein the first detection device is used for detecting a blood vessel, and the second detection device is used for detecting bubbles in the tube body. The scheme provided by the application can eliminate the influence of bubbles on blood vessel imaging during detection, and reduce the operation time and risk.

The invention discloses an NIR-II region fluorescent probe suitable for intrathecal injection, a preparation method of the NIR-II region fluorescent probe and application of the NIR-II region fluorescent probe in cerebrovascular imaging, and belongs to the technical field of probe preparation. The problem of low resolution of current cerebrovascular imaging is solved. The rare earth nano fluorescent material is prepared into the NIR-II region fluorescent probe, delivery of large-size fluorescent imaging particles is achieved through intrathecal injection, and then cerebral vascular imaging is achieved. According to the rare earth nano fluorescent material, NaErF4: x% Ce serves as a fluorescence emission core, NaYF4: y% Yb serves as a fluorescence emission middle layer, NaYF4 serves as a fluorescence emission shell layer, through Er < 3 + > ion self-sensitization, under 808 nm excitation, an NIR-II region fluorescence emission peak of 1525 nm is achieved, NaYF4 serves as an inert shell layer, the luminous intensity of the fluorescent material is further improved, and NIR-II region high-resolution fluorescence imaging of mouse cerebral vessels is achieved in combination with intrathecal injection.

This application provides an adaptive infrared vascular imaging enhancement method and apparatus based on image entropy feedback. It achieves precise adaptive adjustment of infrared emission power through local information entropy calculation and a proportional-integral-differential controller. An enhancement mechanism is constructed, combining multi-scale Gaussian smoothing and Hessian matrix eigenvalue analysis to establish a reliable vascular response extraction strategy. Structural analysis optimization is introduced, iteratively refining skeleton extraction and cross-point calculation to ensure continuous improvement in vascular cross-point localization. This method effectively addresses the shortcomings of traditional techniques in exposure adaptation, vascular enhancement, and topology analysis, providing technical support for infrared vascular imaging-assisted diagnosis.

This application relates to a medical image registration method, system, computer device, storage medium, and computer program product. The method includes: acquiring a first vascular feature corresponding to a preoperative medical image; acquiring an intraoperative medical image captured by a vascular imaging device and identifying a second vascular feature in the intraoperative medical image; calculating a first registration relationship between the preoperative medical image and the intraoperative medical image based on the first and second vascular features; acquiring a second registration relationship between the image coordinate system of the vascular imaging device and the world coordinate system; and generating operation navigation information based on the first and second registration relationships. This method improves accuracy through vascular registration, and the use of a vascular imaging device avoids incisions and minimizes harm to the patient.

The application belongs to the technical field of ultrasonic blood vessel imaging, and particularly relates to a peripheral blood vessel imaging method and system based on ultrasonic tomography and a storage medium. An ultrasonic tomography system is used to collect images of a to-be-measured part, and a plurality of three-dimensional cross-sectional image sequences are obtained. A pulse signal is synchronously collected. A target detection neural network is used to process the three-dimensional cross-sectional image sequences, and preliminary observation values of blood vessel positions are output. An optimal state estimation is sequentially performed on the blood vessel positions of each three-dimensional cross-sectional image based on a Kalman filtering algorithm, and optimal blood vessel position estimations of each frame are output. The preliminary observation values of the blood vessel positions are taken as observation values of the Kalman filtering, and a state transition equation of the Kalman filtering algorithm is constructed according to the blood vessel positions, blood flow velocities and the pulse signal. According to the optimized three-dimensional cross-sectional image sequences, a dynamic three-dimensional blood vessel model is reconstructed. The application realizes dynamic artifact suppression and state smoothing based on the pulse signal, and provides image clarity.

The invention discloses an internal arteriovenous fistula blood vessel noninvasive intelligent monitor, and belongs to the technical field of medical monitoring equipment. The sensor unit is composed of a photoelectric volume pulse wave sensor, a miniature ultrasonic sensor and a bioelectrical impedance sensor and used for collecting information such as heart rate, blood oxygen saturation, blood flow, angiography, tremor frequency, impedance parameters and vascular tension; the monitoring chip unit carries out amplification, filtering, analog-to-digital conversion and feature extraction on the information; the storage and preprocessing unit is used for realizing real-time storage and standardized processing of data; the communication unit uploads the data to a medical institution end or a cloud end through Bluetooth or Wi-Fi; the power management unit provides power and realizes low-power-consumption control; and the early warning unit performs risk assessment on the data based on an artificial intelligence model, and generates early warning information when a potential anomaly is detected. According to the invention, continuous, non-invasive and intelligent monitoring of internal arteriovenous fistula can be realized, and the early recognition and early warning capability of complications can be improved.

An example computer-implemented method for image reconstruction, includes: receiving k-space data from a magnetic resonance imaging (MRI) machine, the k-space data comprising a plurality of k-space readouts; sorting the k-space readouts into a set of bins comprising binned k-space data, each of the set of bins corresponding to a respective phase of a respiratory cycle; iteratively performing the steps of: (i) computing a soft participation weight for each k-space readout, where the soft participation weight reflects a posterior probability that each k-space readout belongs to each of the set of bins; and (ii) updating an image estimate by solving a weighted optimization problem; determining a convergence criterion is reached; and outputting a motion-resolved volumetric MRI image when the convergence criterion is reached.

The invention provides a vascular embolism recurrence risk prediction method and device and electronic equipment. The vascular embolism recurrence risk prediction method comprises the steps that multi-modal data of a patient at each time point is acquired, the multi-modal data of each time point comprises at least two modal data of a vascular image, a medical text, biochemical test information and a physiological signal, and the multi-modal data of at least one time point comprises the vascular image; determining a first feature and a second feature according to the multi-modal data of each time point, the first feature being obtained by analyzing correlation between the modal data and reflecting a recurrence risk level of the patient at the current time point, and the second feature being obtained by analyzing a change rule of the multi-modal data along with time and reflecting a recurrence risk evolution trend of the patient; the vascular embolism recurrence risk of the patient in the future period is predicted according to the first feature and the second feature, and the prediction accuracy of the vascular embolism recurrence risk can be improved.

Systems and methods for multi-level vascular imaging for construction and display of vasculature from large to small vessels and micro-vessels using a combination of varying resolution contrast enhanced ultrasound flow imaging modalities are disclosed. While one or more resolution flow imaging modes may be employed for imaging large to small vessels of a vascular tree within a large region of interest, a high resolution mode, such as super resolution imaging, constructed for delineation of the microvascular morphology and directional microcirculation is provided within one or more small ROIs placed in selected locations within the larger ROI.

The invention discloses a brain multi-modal image data processing method and device. The method comprises the steps of obtaining a brain multi-modal image sequence of a target object; fusing the three-dimensional contrast-agent-free angiography with the plaque internal hemorrhage image sequence and the time leap method imaging image sequence to obtain cerebrovascular image data; cerebrovascular image data is used as a tree root node and a trunk node, hemodynamic parameter data in a phase contrast angiography sequence is used as a branch node for representing a blood supply state, and neural structure parameter data in a diffusion magnetic resonance imaging sequence is used as a branch node for representing a neural structure. Physical and chemical parameter data in the liquid attenuation inversion recovery sequence are used as leaf nodes for representing functional metabolism, hemodynamic parameter data in the magnetic resonance brain perfusion imaging sequence are refined to a pixel level and then are used as leaf nodes for representing metabolic activity, and a brain biological characteristic tree of the target object is constructed. According to the method, the brain multi-modal image data can be quantitatively analyzed.

The present invention provides an automated system (100) and a method (300) for performing blood vessel imaging, 3D reconstruction and assisted intrusion using machine learning techniques comprising an imaging module (102) incorporating plurality of monochrome infrared stereo camera (104) with Near-Infrared Light (NIR) illumination (106); a robotic arm (108) to perform assisted intrusion with the feedback of a 3D reconstructed blood vessel; and a control unit (110) incorporating plurality of microprocessors with neural network to employ machine learning to control and automate 3D reconstruction and intrusion of blood vessel using machine learning techniques in real-time, wherein the neural network comprises of an image registration module, image library construction module, a training module, and a 3D reconstruction module.

This invention discloses a laser speckle contrast imaging system and method with shared transmission and reflection capabilities, relating to the field of optical imaging. In this system, coherent light is split into two beams by a beam splitter. Based on optical geometry principles, coherent transmitted and reflected light can coexist simultaneously, achieving shared transmission and reflection laser speckle contrast imaging. Furthermore, by utilizing the number of optical paths present in the first, second, and third light-shielding plates, either transmission-type or reflection-type laser speckle contrast imaging can be achieved. This invention can improve the imaging depth of blood vessels while maintaining the imaging quality of superficial blood vessels.

The application relates to a blood vessel imaging method based on normalized time-varying intensity sequence similarity. The blood vessel imaging method obtains two interference spectrum signals through twice data acquisition of the same data acquisition point of a sample, sequentially carries out Fourier transform, amplitude taking, direct current removing and normalization on the two interference spectrum signals to obtain two normalized time-varying intensity sequences, carries out cross-correlation function operation on the two normalized time-varying intensity sequences to distinguish a blood vessel region and a tissue region, and further obtains a contrast image of the blood vessel region. The method can remove body motion artifacts without external additional hardware and / or software, has self-sufficiency against body motion artifacts, can reduce the complexity and cost of an OCT system, and improves the efficiency of sample data processing.