48 results about "Flow imaging" patented technology

Systems and methods for removing the bias induced by noise from power Doppler images to achieve improvements of microvessel image contrast are provided. In one example, the noise-induced bias can be suppressed by utilizing the characteristics of uncorrelated noise in the ultrasound image from data acquired or compounded at different transmitting angles. In another example, the noise-induced bias can be suppressed due to the lack of correlation between adjacent ultrasound images. These example implementations may also be combined, as will be described below.

The invention discloses a tissue viscoelasticity and flow multi-scale imaging method and system, and belongs to the technical field of image processing methods.The method comprises the steps that multi-frequency ultrasonic shear wave displacement data of a target tissue is obtained and divided into short-time scale displacement data and long-time scale displacement data; inputting the displacement data into a multi-scale pyramid shear wave displacement feature convolution module for processing to obtain fused shear wave displacement features; carrying out feature extraction and prediction through a multi-scale shear wave speed feature extraction and prediction module, and generating a shear wave speed two-dimensional distribution diagram of the target tissue; and calculating viscoelasticity parameters and flow parameters by using a fractional order model, and generating viscoelasticity and flow image data reflecting the nonlinear mechanical characteristics of the target tissue. According to the method, the imaging precision and stability under low signal-to-noise ratio data are improved, the resolution and robustness of an imaging result and the shear wave velocity imaging performance are improved, the method is suitable for a complex tissue environment, and a technical support is provided for tissue mechanical property analysis.

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 invention relates to a deep learning fundus blood flow imaging method based on OCT amplitude and phase information, and belongs to the field of fundus blood flow imaging. An artificial neural network is used for fusing multi-modal information from OCT, multiple labels from OCTA are used for optimizing the network, and finally high-precision reconstruction of a blood flow image is achieved. Compared with the prior art, the method has the following outstanding advantages that firstly, phase information which is not fully utilized in a traditional method is creatively integrated, and the microvessel recognition sensitivity is remarkably improved through an amplitude-phase bimodal feature collaborative learning mechanism; secondly, a blood flow texture-blood flow position double-label supervised learning strategy is creatively provided, blood vessel position labels are introduced in a function loss stage, the network is assisted to accurately position the blood flow position, the characterization capacity of the network on capillary and other small blood vessel structures is effectively enhanced, and blood flow microcirculation visualization is achieved; and thirdly, blood flow information can be reconstructed by using single OCT scanning data.

The invention belongs to the field of part flaw detection, and particularly relates to a pipe fitting inner wall defect profiling TMR array eddy current imaging detection device and method. Conventional eddy current detection channels are small in number and low in detection efficiency, the length of a defect cannot be judged through an impedance diagram, and the conventional eddy current detection channels are difficult to adapt to defect detection of aluminum pipes with different inner diameters within the range of 120-150 mm due to the influence of a probe structure. According to the invention, the defect detection of the inner wall of the aluminum pipe with the inner diameter of not less than 120mm can be realized, the 100% full coverage detection of the machining area of the inner wall can be realized through spiral scanning, the three-dimensional C-scanning imaging of the machining area of the inner wall can be realized through a positioner-portal frame-array eddy current linkage mode, the shape and size of the defect can be intuitively judged, and the detection accuracy is improved. And meanwhile, the high sensitivity characteristic of the TMR sensor can ensure that closed cracks can be detected.

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.

An ultrasound system (110) can acquire (510) ultrasound data of a vascular structure of a region of interest of a subject from an ultrasound probe (202). The ultrasound system (110) can acquire tracking data of the ultrasound probe (202) from a tracking system (120). The ultrasound system (110) can generate (530) a three-dimensional (3D) vascular model of the vascular structure using the ultrasound data and the tracking data. The ultrasound system (110) can acquire (540) 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 (110) can display (550) the angle-compensated flow information of the vascular structure.

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 application relates to the technical field of optical imaging, in particular to an eye fundus blood flow imaging method and system based on cascade registration and a storage medium, which comprises the following steps: acquiring an eye fundus laser image sequence arranged according to a collection time sequence; based on the eye fundus laser image sequence, a plurality of mutually overlapped local time regions are divided according to the collection time sequence, local registration is performed on the eye fundus laser images in each local time region, and based on the eye fundus laser images after the local registration, a local structure image and a local blood flow image corresponding to the local time region are obtained; global unified registration is performed based on the local structure images, spatial transformation parameters corresponding to the local structure images are determined, and the spatial transformation parameters are synchronously applied to the corresponding local blood flow images to obtain a blood flow image sequence in a unified coordinate system; and fusion processing is performed on the blood flow image sequence in the unified coordinate system to obtain an eye fundus blood flow image. The application can improve the robustness, continuity and definition of eye fundus blood flow imaging.

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 application relates to the technical field of image recognition, in particular to a security check flow image adaptive judgment method and system based on artificial intelligence, wherein the security check flow image adaptive judgment method based on artificial intelligence comprises: determining a candidate object and a candidate shape-color combination; determining a shape-color combination similar performance index; determining a superimposed artifact interference direction; determining a judgment weight correction demand index based on an original model confidence, the shape-color combination similar performance index and the superimposed artifact interference direction; and correcting the judgment weight. The present application combines the shape-color combination recognition of the security check flow image with the conveyor belt flow imaging process, distinguishes the real prohibited structure, the edge offset structure and the superimposed artifact structure by analyzing the mismatch relationship between the conveyor belt running state and the line scanning sampling rhythm, and makes the intelligent judgment result be able to trace back to the real structure support or the artifact interference source under the flow imaging scene.

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.

The present invention relates to the field of ultrasounds and imagining of the coronary blood flow of the heart. Patients with coronary microvascular dysfunction (CMD) have poor prognostic with significantly higher rates of cardiovascular events, including hospitalization for heart failure, sudden cardiac death, and myocardial infarction (MI). Despite the urgent clinical need, there are no non-ionizing and non-invasive techniques available in clinic to directly visualize the coronary microvasculature and assess the local coronary microvascular system. Flow imaging remains a difficult task to perform in the heart because of the fast movements of this organ. In order to overcome the limitations of actual imaging methods for the coronary blood flow, the inventors proposed an ultrasound ultrafast imaging method that automatically detect the time periods in which the myocardium velocity is low and estimate the coronary flow velocity and the tissue velocity from the same data acquisition.

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.

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.

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.

The present invention belongs to the technical field of ultrasonic Doppler blood flow imaging, specifically a three-dimensional ultrasonic vector Doppler imaging method based on a row-column addressing array. The present invention combines a high-frame-rate two-dimensional non-focused wave transmission sequence and a row-column addressing array (RCA) of a least square multi-angle Doppler velocity estimator to achieve three-dimensional ultrasonic vector Doppler imaging; specifically, it includes: acquiring radio frequency data from each tilted non-focused wave transmission, and then performing IQ demodulation, beamforming, and clutter filtering; performing high-frame-rate multi-angle vector Doppler analysis and velocity estimation on the results through RCA; and performing dual-wavelength anti-aliasing processing. The present invention can achieve an imaging speed of more than one thousand frames, significantly improve the sensitivity to low-speed flow and the measurement accuracy of high-speed flow, and has been verified by clinical environment experiments; it is suitable for clinical applications, especially in the dynamic monitoring of blood flow in large blood vessels, and can provide important support for hemodynamic research and clinical diagnosis.

The application provides an ultrasonic blood flow imaging method, device and equipment, the method comprising: screening blood flow vertices with non-zero blood flow velocity based on two-dimensional blood flow dynamics data of pixel points of a region of interest (ROI); traversing the blood flow vertices in a blood flow vertex template according to a set sampling interval, mapping the two-dimensional positions of the blood flow vertices into x and y coordinates in three-dimensional coordinates after normalization; mapping the blood flow energy and the average value of energy variance of the blood flow vertices into z coordinates in three-dimensional coordinates after normalization, and constructing a three-dimensional blood flow grid based on the three-dimensional coordinates of the blood flow vertices; rendering and coloring the three-dimensional blood flow grid by sampling color values of different positions of a two-dimensional texture picture; and the two-dimensional texture picture is a picture obtained by mapping the blood flow velocities of the blood flow vertices at different two-dimensional positions into a color table to determine corresponding color values. The ultrasonic blood flow imaging method provided by the application improves the recognition effect on complex three-dimensional blood vessel structures.

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 a multi-channel crystallization process rapid screening method combined with microflow imaging analysis, which comprises the following steps: S1, lifting an upper sealing cover, putting into six crystallization glass beakers, and adding raw materials and solvents into the respective beakers; s2, lowering an upper sealing cover, connecting external circulation of a high-low temperature circulator to a temperature control tank, starting a magnetic stirrer and temperature control through program control, and starting dissolution; s3, after dissolution is completed, cooling crystallization is achieved by reducing the temperature or solvent-out crystallization is achieved by adding a poor solvent into a feeding opening in the upper portion; and S4, after the crystals are separated out, starting an automatic sampling program, and carrying out wet particle size and particle shape detection on the crystal recrystallization sample of each channel to obtain morphology results under different experimental conditions. According to the invention, real-time monitoring of particle morphology in a wet environment can be realized, disturbance of the whole process to a crystallization system is minimum, real'lossless' monitoring is realized, and the method has the advantages of high time resolution, resource saving and the like.

The application discloses a high-definition ultrasonic blood flow imaging method and system based on space-time multi-scale flexible registration, which is used for removing the adverse effects of motion artifacts and realizing high-definition ultrasonic blood flow imaging. The registration method based on a multi-scale space-time similarity matrix is used to significantly improve the ultrasonic blood flow imaging quality of a moving organ. The specific method comprises the following steps: a preprocessing module M1 is responsible for mapping the collected N frames of ultrasonic echo IQ complex signals X1 frame by frame from the complex domain to the real domain, and a matrix Y1 is constructed; a similarity calculation module M2 is responsible for calculating the multi-scale space-time similarity matrix of Y1 according to different sliding window sizes C (i=1, 2, …, W-C+1, j=1, 2, …, H-C+1, k=1, 2, …, N-1); a clustering module M3 is responsible for performing multi-scale adaptive local space-time clustering and labeling the IQ complex signal at each position in X1 based on the clustering result (p=1, 2, 3, …, P); a registration module M4 is responsible for registering the IQ* complex signal corresponding to each label according to the multi-scale time direction similarity distribution characteristics and the multi-scale intra-class spatial structure characteristics; and a result output module M5 is responsible for wall filtering the multi-scale registered IQ complex signal and obtaining a high-definition ultrasonic blood flow imaging result W.

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.