26 results about "Flow imaging" patented technology

The application discloses a method for constructing a 4D FLOW-based hemodynamic evaluation pulmonary embolism prognosis prediction model and application, relates to the medical image technology field, and comprises the following steps: collecting 4D-Flow images of patients who have been diagnosed with pulmonary embolism from medical institutions to obtain image data A; pre-processing the image data A, and dividing the pre-processed image data A into a training set and a verification set according to a proportion; respectively performing imageomic feature extraction, clinical feature extraction and 4D FLOW hemodynamic feature extraction on the training set and the verification set; screening the imageomic features and the clinical features and 4D FLOW hemodynamic detection indexes to obtain key features; and based on the key features, establishing a multi-omics prediction model for pulmonary embolism prognosis prediction, thereby providing a new imaging reference for pulmonary embolism treatment.

The application provides a kind of based on augmented reality navigation heart blood flow imaging system and navigation image generation method, it is related to biomedical optical imaging technical field, the system includes: laser speckle image acquisition unit according to electrocardiogram ECG signal determines acquisition window, and after the imaging focus is actively compensated based on real-time ranging result in the acquisition window, laser speckle image sequence of heart surface is collected;Navigation image generation unit quantifies the degree of stenosis of blood vessel according to blood flow index, and generates blood flow navigation image in combination with laser speckle image sequence;Navigation image projection unit projects blood flow navigation image to the corresponding blood vessel area of heart surface.The application provides based on augmented reality navigation heart blood flow imaging system and navigation image generation method, not only realizes high-fidelity, quantitative blood flow imaging and intuitive, in situ surgical navigation integration, also significantly improves the precision and safety of coronary artery bypass grafting and other heart surgery.

Systems and methods for determining oxygen consumption using magnetic resonance imaging (MRI) are provided. In some implementations, a method includes steps for applying a pulse sequence using an MRI system to a region of interest (ROI) in a subject, and acquiring magnetic resonance (MR) signal data from the ROI using the MRI system. The method also includes steps for reconstructing the MR signal data using a reconstruction algorithm to derive at least one motion-controlled, blood oxygenation-weighted image, and at least one blood-flow image; and analyzing the at least one motion-resolved, blood oxygenation-weighted image to determine oxygen consumption in the ROI.

The invention discloses an ultrasonic blood flow imaging method and an ultrasonic blood flow imaging system for a moving organ, which are used for removing adverse effects of motion artifacts and realizing real-time dynamic ultrasonic imaging, and remarkably improving the ultrasonic blood flow imaging quality of the moving organ by utilizing a clustering method based on an inter-frame similarity matrix. The method specifically comprises the following steps: a preprocessing module M1 is responsible for mapping acquired N frames of ultrasonic echo IQ complex signals X1 frame by frame from a complex field to a real field to construct a matrix Y1; the similarity calculation module M2 is responsible for calculating a similarity index matrix Rij (i, j = 1, 2,..., N) between the frames of images in the Y1; the clustering module M3 is responsible for performing adaptive clustering on Rij and labeling the IQ complex signal of each frame in the X1 as Zk (k = 1, 2, 3,..., K) based on a clustering result; the wall filtering module M4 is responsible for combining the quasi-static IQ * complex signals corresponding to each label into subsets X1k, and performing wall filtering on each subset X1k to obtain Wk; and the result output module M5 is used for merging all Wk and carrying out inverse process sorting according to a collection timestamp sequence to obtain a real-time high-definition ultrasonic blood flow imaging result of the moving organ.

The invention relates to a pulsed eddy current imaging method of a planar flexible fractal difference measurement eddy current sensor, and belongs to the technical field of nondestructive testing of conductive metal. Compared with the traditional sine excitation, the used pulse excitation can realize the detection of different depth defects of the tested block without using a plurality of different frequency excitation, the detection efficiency is high, the signal conditioning circuit is simple, and the cost is low. Under the condition that a single-frequency excitation high-performance phase-locked amplification technology is not used, the same sensitivity is achieved, and the method has the advantages that the system is simple and easy to implement. By adopting the method, the imaging quality of new features extracted by different cross-correlation algorithms can be quantitatively evaluated, and cross-correlation features and self-correlation features with good signal-to-noise ratios can be distinguished.

The application discloses an imaging position determination method and device, a terminal device and a storage medium. The method comprises the following steps: performing image segmentation processing on a first layer flow image to be identified to obtain a plurality of first particle images; adjusting the size of each of the plurality of first particle images to a preset size to obtain a second particle image corresponding to each of the plurality of first particle images; inputting each of the plurality of second particle images into a target convolutional neural network to obtain a first category corresponding to each of the plurality of second particle images; and determining the relative position relationship between the first layer flow image and a focal point according to the plurality of first categories. The application can determine the relative relationship between the current layer flow image acquisition position and the focal point position by comprehensively considering the shape and blurring degree information of the image, thereby facilitating the calculation of the subsequent focal point position.

The present disclosure provides a blood flow imaging method, system and storage medium, which obtains a plurality of initial ultrasonic blood flow images and a plurality of target detection groups, filters each target detection group based on a filter set to obtain a corresponding preset number of data groups, obtains a blood flow average speed value corresponding to each target detection group based on the filtered data groups, and generates an ultrasonic blood flow image based on the blood flow average speed value. The present disclosure utilizes a filter set composed of multiple filters with different cutoff frequencies to process ultrasonic echo signals, screens out target data groups corresponding to blood flow regions to generate an ultrasonic blood flow image, effectively reduces high-frequency noise caused by hardware and low-frequency clutter caused by tissue motion, makes the calculated blood flow velocity more close to the true value, and can enhance the blood flow of a certain region in a targeted manner, so as to facilitate the judgment of the degree and starting position of regurgitation.

This invention discloses a method for visualizing and detecting the internal flow field of a MEMS gas chromatograph column based on background schlieren imaging, relating to the fields of microelectromechanical systems (MEMS) and microfluidics. The method includes the following steps: S1, preparation of the MEMS micro gas chromatograph column chip; S2, establishment of the background schlieren optical link; S3, acquisition of the reference image; S4, acquisition of the flow image; S5, extraction of the displacement field; S6, inversion from displacement to refractive index / density gradient; S7, reconstruction and visualization output of flow field quantities such as velocity / pressure; S8, localization of local defects and updating of structural parameters; S9, experimental-simulation closed-loop iterative optimization. This invention applies BOS quantitative visualization technology to the internal diagnostics of MEMS-grade chromatographic columns, enabling rapid closed-loop correction and iteration of CFD models, reducing theoretical plate height, increasing the number of theoretical plates, reducing pressure drop, and increasing peak capacity. This provides a reliable experimental verification and optimization method for next-generation high-resolution, low-power, miniaturized aerospace-grade chromatographic columns.

The present disclosure relates to ultrasound-based strategies and techniques that are specially designed for time-resolved simultaneous cardiac tissue visualization and intracardiac flow instability mapping. First, to achieve high-resolution tissues images while also acquiring flow data, we devised an acquisition scheme which consists of two batches. The first batch is dedicated to tissue imaging, where we transmit a series of diverging waves emitted from different virtual source locations. These pulses have a single pulse-cycle to optimize axial resolution and are coherently compounded for improving lateral resolution. This paradigm generates tissue images with an improved resolution, allowing for real-time guidance at frame rates up to 50 fps. The second batch is dedicated for flow imaging where all diverging waves are transmitted from the same virtual source location. These flow pulses have a 5-cycle pulse length for improved flow signal. The length of this batch can be adjusted, but our experiments use a length of 64. The final transmission scheme alternates between the tissue batch and flow batch.

Disclosed are a blood flow imaging method and an ultrasonic imaging device. The method comprises: emitting ultrasonic waves to a target blood flow region along a first scanning angle and a second scanning angle; receiving ultrasonic echoes returned from the target blood flow region to obtain a first ultrasonic echo signal and a second ultrasonic echo signal; performing signal processing on the first ultrasonic echo signal to obtain a first color ultrasonic image and a first blood flow velocity; performing signal processing on the second ultrasonic echo signal to obtain a second blood flow velocity; synthesizing the first blood flow velocity and the second blood flow velocity to obtain a vector velocity of blood flow; and superimposing and displaying the vector velocity of blood flow and the first color ultrasonic image. By superimposing and displaying the vector velocity of blood flow on the color ultrasonic image, the habit of medical staff in drawing a color ultrasonic image is not changed, the traditional clinical diagnosis is not affected, more blood flow information provided by vector blood flow imaging is obtained, and more help is provided for the auxiliary diagnosis and treatment of medical staff.

A super-resolution ultrasonic blood flow imaging method fusing particle trajectory prediction and motion compensation comprises the following steps: injecting a microbubble contrast agent into a living body to obtain a microbubble distribution image; arranging all the microbubble distribution images according to a time sequence, and obtaining a blood flow distribution diagram through a particle trajectory prediction method; further eliminating a wrong track through speed difference constraint; and eliminating the influence of the micro motion of the background organization on the track result through a dynamic compensation method. The method has the advantages that the imaging resolution is obviously improved, and the movement interference of tissues and organs can be effectively reduced. According to the method, historical data and velocity vector information of the microbubbles are combined, the future positions of the microbubbles are predicted by using a Kalman filter, and matched microbubbles are searched nearby the future positions, so that the trajectory matching accuracy is improved, and the imaging resolution is improved. Meanwhile, cross-correlation search based on dynamic programming is adopted, wrong trajectories caused by tissue movement are extracted and eliminated, the definition of the microvascular morphology is further optimized, the signal-to-noise ratio of the image is remarkably improved, and the method is suitable for imaging of moving organs.

To provide a device and a method for generating a non-audible sound capable of improving skin quality.SOLUTION: The skin treatment device 10 mainly includes a detector 12, a generator 14, an output unit 16, and a display / operation unit 18. The detecting unit 12 has a function of detecting skin characteristics, which are characteristics of the skin of the user 20, and includes, for example, a skin viscoelasticity measuring device, a blood flow imaging device, and / or a confocal Raman spectroscopic device. The skin characteristics include, for example, characteristics including a stratum corneum moisture content, a transepidermal water loss (TEWL), a sebum amount, a blood flow rate, and / or a moisture state of the skin. The generation unit 14 can generate non-audible sounds based on the non-audible sound characteristics. The non-audible sound characteristics may include a frequency, a power level, and / or a power pattern of the non-audible sound. The output unit 16 decodes the digital data received from the generating unit 14 and outputs inaudible sounds to the skin of the subject.SELECTED DRAWING: Figure 1

The invention relates to the technical field of traceability scouring, and discloses a method and system for automatically monitoring traceability scouring, and the system comprises an unmanned plane, a flow measurement camera, a depth finder, and a control module. The unmanned aerial vehicle carries a flow measuring camera and a depth finder; the acquisition layer is configured to determine a cruise interval of the unmanned aerial vehicle and sampling frequencies corresponding to a flow measurement camera and a depth finder based on the regional parameters; the gate opening determination layer is configured to calculate a scouring amount evaluation index of the to-be-monitored area based on the flow measurement image sequence set and the depth measurement image sequence set, and determine the gate opening of the to-be-monitored area according to the scouring amount evaluation index and the current water level and flow velocity parameters; the execution layer is configured to control the gate of the to-be-monitored area according to the gate opening degree. According to the invention, automatic monitoring and traceability of the scouring condition of the to-be-monitored area are realized, the scouring amount evaluation index can be accurately calculated according to real-time data, and the gate opening degree can be reasonably determined.

The invention discloses an ultrasonic blood flow imaging method, device and equipment, and relates to the field of blood flow imaging.The method comprises the steps that a plane wave radio frequency echo signal time sequence is preprocessed, then extraction is conducted through an initial sampling window, and an initial blood Doppler signal is obtained; calculating an instantaneous frequency standard deviation and a mean value according to the initial blood Doppler signal; updating the length of the initial sampling window according to the instantaneous frequency standard deviation and the mean value; extracting a radio frequency echo signal time sequence only containing blood components by using the updated sampling window to obtain an adjusted blood Doppler signal; calculating the composite number of plane waves according to the average frequency of the adjusted blood Doppler signals; coherent compounding is carried out according to the compounding number of the plane waves and the adjusted blood Doppler signals, and compounded blood flow Doppler signals are generated; and determining the blood flow velocity according to the compounded blood flow Doppler signal. The imaging quality can be improved.

Described here are systems and methods for ultrasound clutter filtering to produce images of blood flow in a subject. The systems and methods described in the present disclosure may be advantageously applied to fast ultrasound imaging techniques, including ultrafast plane wave imaging techniques.

The invention discloses an ultrasonic imaging method based on a spatial multi-scale causal reconstruction information field. According to the method, ultrasonic echo video complex signals serve as processing objects, a multi-scale reconstruction method and a causal estimation method are combined, and a multi-scale directed blood flow information field is obtained from phase fluctuation information of the collected ultrasonic echo complex signals. And then, spatial positioning is carried out on the acoustic tracer particles of each frame of image in the ultrasound contrast image sequence to form a target point video. And finally, by taking a spatial multi-scale causal reconstruction directed blood flow information field as a constraint, guiding a multi-target tracking method by utilizing prior information such as a blood flow direction field and blood flow velocity distribution provided by the spatial multi-scale causal reconstruction directed blood flow information field, obtaining a track of acoustic tracer particles, and obtaining a high-definition ultrasonic blood flow imaging result after accumulation. According to the method, the blood flow information field is reconstructed through spatial multi-scale causal estimation and is used for constraining particle trajectory tracking, and the definition and accuracy of ultrasonic blood flow imaging are effectively improved.

This application relates to a method, apparatus, device, medium, and computer program product for multiphase flow image processing based on microfluidics. The method includes: displaying a multiphase flow image processing interface; displaying parameter values ​​of image processing parameters input via parameter input controls on the multiphase flow image processing interface; cyclically acquiring multiphase flow images captured by a high-speed camera of a microfluidic chip exhibiting multiphase flow; recording multiple phase-spaced bubbles generated by the multiphase flow in the microfluidic chip within the multiphase flow images; performing image processing on each acquired multiphase flow image according to the parameter values ​​of the image processing parameters to obtain information on multiple bubbles identified from each multiphase flow image; and, when the multiphase flow in the microfluidic chip is determined to be in a stable state based on the changing state of the bubbles at a preset inlet region of the microfluidic chip in the processed multiphase flow image, starting to store the information on the multiple bubbles identified from the multiphase flow images. This method can improve data acquisition efficiency.

The application belongs to the technical field of magnetic resonance blood flow imaging, and particularly discloses a velocity unwrapping method for four-dimensional blood flow magnetic resonance imaging. The application comprises the following steps: data preprocessing, obtaining a blood vessel mask diagram of a region of interest through automatic segmentation from a dynamic three-dimensional spatial flow velocity distribution diagram obtained through four-dimensional blood flow magnetic resonance scanning; velocity unwrapping, which comprises three steps: the first step is velocity unwrapping based on time dimension continuity constraint, the second step is velocity unwrapping based on time dimension constraint and supplemented by space dimension constraint, and the third step is velocity value correction based on time-space correlation constraint; and finally, a four-dimensional flow velocity distribution diagram after unwrapping is obtained based on the data processing results of the first two steps. The application realizes velocity unwrapping with good robustness and applicable to cardiovascular and cerebrovascular blood flow imaging at the same time by combining the three-dimensional space continuity in the blood vessel region of interest in the four-dimensional blood flow magnetic resonance velocity distribution diagram and the velocity continuity characteristics of the time dimension.

The invention belongs to the technical field of ultrasonic imaging, and particularly relates to an ultrasonic nonlinear parameter imaging method based on blood calibration, a medium and a program product, and the method comprises the following steps: obtaining a blood nonlinear parameter value of a target object according to an ultrasonic blood flow imaging area; obtaining a correction coefficient according to the blood nonlinear parameter value and the standard value; obtaining nonlinear parameter values of other ultrasonic imaging areas of the target object; correcting the nonlinear parameter values of other areas through the correction coefficient; obtaining a correction value of the ultrasonic nonlinear parameter; and performing display and auxiliary judgment based on the correction value of the ultrasonic nonlinear parameter. In ultrasonic detection, nonlinear parameter values of other areas are corrected by utilizing the advantages of accurate nonlinear parameters and small fluctuation of blood, so that the nonlinear parameter values of other areas are closer to true values.

An ultrasound system may acquire ultrasound data of a vascular structure of the region of interest of the subject from an ultrasound probe. The ultrasound system may acquire tracking data of the ultrasound probe from a tracking system. The ultrasound system may generate a three-dimensional (3D) vascular model of the vascular structure using the ultrasound data and the tracking data. The ultrasound system may acquire angle-compensated flow information of the vascular structure using a flow imaging technique and the 3D vascular model of the vascular structure. The ultrasound system may display the angle-compensated flow information of the vascular structure.

A laser beam shaping and homogenizing optical system for flow cytometry analysis relates to the field of optical detection technology, in order to solve the problems existing in the prior art, the system comprises first lens L1, second lens L2, third lens L3, fourth lens L4 and protective glass L5 arranged in sequence along the light path direction; The front surface S1 of the first lens L1 is used as a diaphragm; The front surface S1 of the first lens L1 is aspherical, and the rear surface S2 is spherical; The front surface S3 of the second lens L2 is spherical, and the rear surface S4 is spherical; The front surface S5 of the third lens L3 is spherical, and the rear surface S6 is spherical; The front surface S7 of the fourth lens L4 is spherical, and the rear surface S8 is spherical; The front surface S9 of the protective glass L5 is plane, and the rear surface S10 is plane. It is mainly applied to flow cytometer, flow imaging flow analysis platform, laser induced fluorescence detection system, laser particle counter and other biomedical detection equipment which need linear uniform light spot illumination.

The sample analysis system may include a flow imaging module, an alternative system, a fluidics system, and an analysis module. In such a system, the flow imaging module may include a flow cell and an image capture device, and the alternative system may include an impedance detector. The fluidics system may be adapted to flow multiple portions of the sample through the flow imaging module and the alternative system. The analysis module may be adapted to determine values ​​for a first plurality of parameters using data from the flow imaging module and values ​​for a second plurality of parameters using data from the alternative system.

The invention provides a microenvironment feature analysis method and system for treating mTNBC related tumors by Trop2-ADC based on spatial proteomics. The method comprises the following steps: S1, collecting clinical information of a sample; s2, constructing a multi-metal labeled antibody Panel for mass spectrum flow imaging; s3, IMC data processing and cell classification; performing single cell segmentation, batch effect correction, cell unsupervised clustering and subgroup annotation on the spatial proteome data obtained by the IMC to obtain phenotypic characteristics and spatial distribution information of various cells; and S4, performing statistical correlation analysis based on the cell phenotypic characteristics and clinical information, and screening spatial cell characteristics related to the Trop2-ADC treatment process. According to the invention, high-resolution data support is provided for tumor microenvironment research, drug action mechanism analysis and related basic research.

The application relates to a self-adaptive cardiac ultrasound blood flow imaging method and device. The method comprises the following steps: configuring to perform a plurality of times of cardiac ultrasound blood flow imaging operations, wherein each time of cardiac ultrasound blood flow imaging operation comprises sequentially performing a cardiac B mode imaging operation and a cardiac blood flow motion imaging operation; after the cardiac B mode imaging operation is performed, at least one frame of cardiac B mode ultrasound image is generated; based on an identified blood flow region of a heart chamber of interest, blood flow motion imaging emission sound field optimization is performed to generate blood flow motion imaging target emission parameters used when the cardiac blood flow motion imaging operation is performed; when the cardiac blood flow motion imaging operation is performed, blood flow echo signals are collected, and a frame of blood flow motion image is generated based on the collected blood flow echo signals. The application can improve the quality of cardiac ultrasound blood flow imaging and the accuracy of subsequent cardiac ultrasound blood flow imaging analysis, and widen the use range in the clinic.

This invention discloses a high-resolution laser speckle vascular blood flow imaging method and system. The method includes irradiating the tissue under test with laser transmission illumination, capturing a set of laser speckle images of the tissue under test with short exposure time and a set of laser speckle images of the tissue under test with long exposure time, and then fusing the two sets of images to obtain a blood perfusion index image and angiography image. Two sets of laser speckle images were acquired, one with short exposure time and the other with long exposure time. The laser speckle images with short exposure time can take into account the degree of scattering and the velocity of scattering particles in the tissue under test. After fusing with the laser speckle images with long exposure time, the contributions of scattered and non-scattered photons in the transmitted light are separated, which can significantly reduce the estimation error. It can not only resolve the flow velocity information of microvessels, but also achieve high-resolution imaging of fine microvascular structures.

The invention relates to the technical field of medical state monitoring, in particular to a cardiothoracic surgery drainage tube running state mode recognition system which comprises a drainage imaging positioning module, a leading edge rhythm judgment module, a liquid column direction judgment module, a state collaborative recognition module and a running state labeling module. According to the method, the visual range of the drainage liquid in the transparent section is positioned through the continuous images, the leading edge boundary and the starting and ending positions of the liquid column are extracted, the quantitative tracking capability of the dynamic characteristics of the liquid is enhanced, and the recognition accuracy of stagnation and flowing states is improved through leading edge displacement change and rhythmicity analysis; the judgment of the length change direction of the liquid column defines the flow direction of the liquid, reduces single-frame visual misjudgment, cooperatively judges the leading edge state and the direction of the liquid column, screens out a synchronous section, improves the stability and consistency of state recognition, completes state labeling in combination with an image timestamp, constructs a sequential and continuous operation state recognition system, and improves the accuracy of state recognition. And the intelligence and accuracy of drainage state monitoring are enhanced.