25 results about "Doppler imaging" patented technology

The invention discloses a 3D human body posture estimation method based on a millimeter wave radar, and relates to the technical field of 3D human body postures. The invention provides a symbol perception energy separation mechanism by introducing a SignAware module and aiming at the problem of information annihilation caused by mixing of positive and negative Doppler components in the prior art, and according to the design, inductive bias consistent with a Doppler imaging physical mechanism is injected into a network structure, so that the model is constrained to follow the dynamic law of a speed symbol, and the model is more accurate and reliable. And separable positive and negative subspaces are formed in the representation space. Therefore, cross-symbol interference is reduced, the alignability and interpretability of specific joint movement are improved, and the sensitivity to speed polarity is kept in a complex multi-joint scene; a PhaseFilm module is provided, aiming at the defect that an existing method lacks periodic and sequential modeling, a phase conditional feature re-calibration mechanism is introduced, the two modules are put into an attitude network, then a feature extraction mechanism combining a time domain and a frequency domain is introduced, and a final SPTFormer network is obtained.

The application discloses a micro blood flow imaging method based on adaptive density filtering and a related device, and relates to the technical field of ultrasonic imaging. The method comprises the following steps: extracting a static frame in original ultrasonic data, screening a high-quality static frame through correlation analysis to eliminate motion interference; performing SVD clutter filtering, and cutting off high spatiotemporal coherence singular values to separate tissue clutter and microbubble signals; performing adaptive density filtering and subtracting a preliminary filtering result to realize noise suppression and overlapping microbubble decoupling; and enhancing microbubble motion signals through time-lag autocorrelation processing, and finally completing power Doppler imaging and ultrasonic localization microscope reconstruction. The scheme effectively solves the problem that the prior art cannot simultaneously consider PDI noise suppression and ULM microbubble decoupling, significantly improves image signal-to-noise ratio and super-resolution, avoids problems such as signal distortion, artifacts and loss of low-speed blood flow, and provides more reliable imaging support for clinical diagnosis such as blood vessel lesion detection and tumor blood flow evaluation.

The invention relates to the field of biomedical ultrasonic imaging, and discloses a pulse wave detection method and system based on ultrafast Doppler imaging, and the method comprises the steps: firstly obtaining a dynamic power Doppler image of the blood flow of a biological tissue; performing spectral analysis on the Doppler signal of each pixel point in the image to obtain a function that the frequency spectrum changes along with time; and on the basis, calculating a blood flow speed time sequence, an impedance index and a pulsation index of each pixel point, and finally obtaining an impedance index distribution diagram and a pulsation index distribution diagram of the whole blood vessel network. According to the method, ultrafast imaging and spectral analysis technologies are ingeniously combined, the structure and the function of the vascular network can be comprehensively evaluated, a new technical means is provided for hemodynamic research and disease diagnosis of organs such as spinal cords, hearts and brains, and the method has a wide application prospect.

The invention discloses a micro blood flow imaging method based on adaptive density filtering and a related device, and relates to the technical field of ultrasonic imaging, the method comprises the following steps: extracting static frames in original ultrasonic data, and screening high-quality static frames through correlation analysis to eliminate motion interference; sVD clutter filtering is carried out, and the high space-time coherence singular value is cut off to separate tissue clutters and microbubble signals; noise suppression and overlapped microbubble decoupling are realized through adaptive density filtering and subtraction with a preliminary filtering result; and enhancing a microbubble motion signal through time-delay self-correlation processing, and finally completing power Doppler imaging and ultrasonic positioning microscope reconstruction. According to the scheme, the problem that PDI noise suppression and ULM microbubble decoupling cannot be considered at the same time in the prior art is effectively solved, the image signal-to-noise ratio and super-resolution are remarkably improved, the problems of signal distortion, artifacts, low-speed blood flow loss and the like are avoided, and more reliable imaging support is provided for clinical diagnosis such as vasculopathy detection and tumor blood flow evaluation.

The invention relates to a brain small vessel blood flow monitoring method and system based on ultrasonic imaging, and the method comprises the steps: setting pulse Doppler ultrasonic imaging devices at different positions, and carrying out the color pulse Doppler imaging of the artery and vein in a brain small vessel through the pulse Doppler ultrasonic imaging devices, arranging according to spatial positions corresponding to different positions to obtain three-dimensional color pulse Doppler imaging; in the process of color pulse Doppler imaging, comparing and analyzing a current frame of color pulse Doppler image and a previous frame of color pulse Doppler image to obtain an analysis result for optimizing a subsequent color pulse Doppler image; blood flow power information is extracted from the three-dimensional color pulse Doppler imaging, and the blood flow change condition of the small cerebral vessels is obtained based on the blood flow power information. The brain small vessel blood flow monitoring system can realize real-time and dynamic monitoring of brain small vessel blood flow, has high clinical application value, and provides a new technical means for prevention and treatment work of brain small vessel diseases.

The application provides a kind of space target ISAR image component intelligent segmentation and attitude estimation method, through inverse synthetic aperture radar to space target is continuously observed, and utilize distance-Doppler imaging algorithm to the echo is sequentially imaged, obtain the ISAR image sequence of space target;Utilize deep learning network Pix2pixGAN to the ISAR image sequence is segmented, and the segmentation accuracy is higher;After removing the invalid connected region in each component segmentation result, obtain the final segmentation image of each component;Linear structure extraction is carried out to the final each component segmentation image using the minimum circumscribed rectangle method, and the method is lower to the image component segmentation accuracy requirement, and the robustness is stronger;Finally, according to the imaging principle of radar observation and ISAR image, an unconstrained optimization problem for solving three-dimensional attitude is constructed, and a particle swarm optimization algorithm is used for solving, and the solving efficiency is higher, to realize the attitude inversion of space target key component.

The invention discloses a method for improving the color Doppler signal-to-noise ratio of deep peripheral pancreatic vessels, and relates to the technical field of medical ultrasonic imaging. According to the method, the signal penetrating power is enhanced and the original data quality is optimized by combining coding excitation and matched filtering with self-adaptive space composite imaging at the front end, and blood flow signals are intelligently extracted through self-adaptive clutter suppression and a deep learning model in sequence at the rear end and are finally fused and displayed with a B-mode image. According to the method, the problem of extremely low signal-to-noise ratio of deep peripancreatic vessel color Doppler imaging caused by serious signal attenuation and background noise interference is systematically solved. According to the method, the detection capability of deep low-speed blood flow signals can be effectively enhanced within a safety limit value, clearer and more accurate blood flow images are obtained, dependence on experience of an operator is reduced, and the diagnosis reliability is improved.

Disclosed is an ultrasound imaging approach employing a transmission scheme, termed "StaBle", to increase the Nyquist limit, through dealiasing, of conventional sequential angle, ultrafast (high-frame-rate) ultrasound imaging (e.g., plane-wave Doppler imaging or diverging wave imaging). The dealiased multi-angle Doppler estimates facilitate accurate least-squares estimates of flow magnitude and direction for vector Doppler imaging (VDI). "StaBle" combines the Nyquist velocity limit extension of staggered, multiple pulse repetition frequencies (PRFs) with a double transmission scheme. With 3 transmit angles and 2 PRFs, for example, the disclosed "StaBle" technique can achieve a 6-12 times higher velocity limit compared to sequential-angle VDI. The robustness of "StaBle" can be observed in derived measures from the VDI results, such as vorticity, kinetic energy, and energy loss obtained from the resolved vector field, which show consistent beat-to-beat variation.

The invention discloses a precession target scattering center separation method based on a three-dimensional radar data cube, and the method comprises the steps: carrying out the processing of a radar echo pulse signal of a conical precession target, and building a precession model of the target, so as to distinguish the different signal characteristics of a local scattering center and a sliding scattering center; carrying out two-dimensional distance-Doppler imaging on the radar echo signal, arranging multiple frames of obtained distance-Doppler images according to a time sequence within a preset imaging time, and constructing a distance-Doppler image sequence; based on a feature enhancement method of a binary mask, automatically separating data of a local scattering center and a sliding scattering center from the distance-Doppler image sequence, extracting coordinate information of each scattering center, and generating a three-dimensional radar data cube containing distance, frequency and time dimensions; and performing trajectory tracking and separation on the sliding scattering center signal in the three-dimensional radar data cube by using a three-dimensional optimal path selection method.

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.

This invention discloses a refined ISAR imaging method based on frequency-modulated plane fitting, belonging to the field of radar signal processing and target imaging technology. This invention can automatically identify and eliminate outliers generated by noise during feature extraction, using only interior points conforming to rigid body motion laws for parameter calculation. Through the established planar constraints, this invention can simultaneously decouple and accurately estimate rotational angular velocity and angular acceleration, solving the problem of inaccurate parameter estimation caused by neglecting geometric constraints between scattering points in traditional methods. Combining the estimated accurate motion parameters, this invention uses the PFA algorithm to replace the traditional range-Doppler imaging algorithm. This not only eliminates azimuth defocus caused by angular acceleration but also effectively corrects cross-range cell movement and image geometric distortion caused by large rotation angles or long accumulation times, significantly improving the spatial resolution and geometric fidelity of the imaging.

The application discloses a kind of based on differential evolution optimization SPWVD's unmanned plane ISAR instantaneous imaging method, it includes the following steps: the received echo signal is carried out distance compression, envelope alignment and phase compensation and obtains the data after processing;The data after processing is replaced by the fast Fourier transform (FFT) in the azimuth direction in distance Doppler algorithm by the time-frequency analysis method such as smooth pseudo-winer distribution (SPWVD), and the initial distance-instantaneous Doppler imaging is obtained, and then the two smooth windows of SPWVD are optimized by differential evolution (DE) algorithm, and imaging again.The inverse synthetic aperture radar algorithm of the present application is improved by introducing the optimization process of differential evolution algorithm SPWVD, and the imaging quality of the mobile target inverse synthetic aperture radar can be effectively improved, so that the target imaging result is clearer, and the entropy value of the imaging diagram is smaller.

The application provides a signal-to-noise ratio robust ISAR imaging method and device based on an HSNet. The method comprises the following steps: obtaining ISAR echo data to be imaged; performing motion compensation and range-Doppler imaging processing on the ISAR echo data to be imaged to obtain a range-Doppler image of original echo; inputting the range-Doppler image of the original echo into a pre-trained HSNet network to output parameter information of a reconstructed ISAR image; obtaining an ISAR imaging result based on the parameter information of the reconstructed ISAR image; and setting a preset loss function of the pre-trained HSNet network as a negative variational lower bound. In the application, the parameter information of the reconstructed ISAR image is obtained through the pre-trained HSNet network, so that the calculation complexity of the existing ISAR imaging problem is reduced; in addition, by setting the preset loss function as the negative variational lower bound, the imaging quality is improved, and the network interpretability is greatly improved.

The ultrasonic imaging device comprises an ultrasonic probe and an operating handle, the ultrasonic probe comprises a sheathing canal, an energy converter arranged in the sheathing canal, a torsion piece at least partially located in the sheathing canal and a connecting piece connecting the torsion piece and the energy converter, and the energy converter comprises a plurality of array elements. The operating handle is connected with the torsion part and used for manually driving the torsion part to twist, and when the torsion part twists, the transducer can be driven to rotate through the connecting part. When the ultrasonic probe is used, the transducer only needs to be manually driven by the operating handle to rotate so as to find the optimal scanning direction, high-speed rotation is not needed, the ultrasonic probe can carry out Doppler imaging, especially Doppler blood flow can be observed, a doctor can carry out clinical diagnosis conveniently, and the cost of a patient can be saved.

The embodiment of the invention provides a Doppler spectrum signal acquisition method and device, electronic equipment and a storage medium. The method is applied to an ultrasonic imaging system, the ultrasonic imaging system comprises an ultrasonic probe, and the method comprises the following steps: determining a target three-dimensional sampling volume; based on the determined target three-dimensional sampling volume, at least three ultrasonic beams received by the ultrasonic probe at the target receiving moment in the Doppler imaging mode are obtained, the at least three ultrasonic beams are ultrasonic beams having intersection with the target three-dimensional sampling volume, and the at least three ultrasonic beams are distributed in a three-dimensional space; and according to an echo signal of at least one sampling point on an effective beam segment of each of the at least three ultrasonic beams, determining a target Doppler spectrum signal at the target receiving moment, the effective beam segment being a beam segment of the corresponding ultrasonic beam located in the target three-dimensional sampling volume. According to the scheme, the target Doppler spectrum signal with a high signal-to-noise ratio and good exclusive OR performance can be obtained.

The invention provides a living body detection technical method and system based on multi-channel MIMO radar near-field three-dimensional Doppler imaging and a storage medium. The system collects multiple frames of echoes and performs near-field imaging, constructs a cross-frame time sequence for the same pixel position and performs time direction FFT to obtain a pixel-level Doppler spectrum; and determining a living body area and outputting an alarm by taking the zero frequency point amplitude of the Doppler spectrum and the joint relationship between the maximum value and the mean value in the frequency band after the zero frequency point is removed as a criterion. According to the scheme, the motility replaces the shape to serve as the main criterion, parallel processing is combined with the MIMO virtual aperture and the assembly line, high resolution, low false alarm and real-time alarm are achieved, and the method is suitable for scenes such as security check, post check and logistics.

This application provides a radar space target echo processing method based on interferometric imaging and beamforming, comprising: performing interferometric imaging on the space target to obtain the position of the space target in the radar field of view; adjusting the digital beamforming direction to obtain narrow-beam high signal-to-noise ratio echo data; using a range-Doppler algorithm to obtain an image map of a partial area of ​​the space target surface at this time; adjusting the beam direction according to the interferometric imaging map to complete the next interferometric imaging and direction adjustment to obtain image maps of the space target surface in other areas; obtaining multiple range-Doppler imaging maps by adjusting the beam direction multiple times; and obtaining a complete high signal-to-noise ratio radar image map of the space target through scattering point fusion. The advantages of this application are: single-detection imaging, low complexity, high reliability, and high signal-to-noise ratio, while also having the advantage of low system operating cost. It can be widely applied to radar detection and imaging where the beamwidth is too narrow to cover large-sized targets.

A marker is localized using ultrasound imaging. Ultrasound video stream data are received with a computer system. The ultrasound video stream data are representative of ultrasound data acquired from a subject using an ultrasound system using Doppler imaging. Color image data are extracted from the ultrasound video stream data based on a color model. Marker position data are determined based on values of a color model component in the color image data. The marker position data are output using the computer system.

The application relates to the technical field of laser radar, in particular to a multi-channel synthetic aperture laser radar imaging method and system based on motion compensation, which comprises the following steps: acquiring echo data of multiple receiving channels; performing distance pre-processing on the echo data to obtain multi-channel echo data focused in the distance direction; setting a tentative speed based on the multi-channel echo data and calculating corresponding azimuth ambiguity signal ratio (AASR); performing MAASR search in a preset speed range to determine a target radial velocity true value; constructing a motion compensation phase factor according to the target radial velocity true value and performing phase correction processing on the multi-channel echo data; performing multi-channel spectrum reconstruction, space-time adaptive processing, full-bandwidth spectrum splicing and distance Doppler imaging processing on the multi-channel echo data after phase correction, and outputting a high-resolution wide-surveying-band image. The application can maintain correct phase relationships among multi-channel echoes in the presence of target motion influence, and realize stable and reliable imaging.

The invention discloses a Doppler imaging method and device based on Spearman rank correlation and a medium. The method comprises the following steps: acquiring beam forming radio frequency data generated in a Doppler imaging process of a target area; calculating a signal power diagram and a noise power diagram of the beam forming radio frequency data; and inputting the signal power diagram and the noise power diagram into an optimized and trained noise coefficient adjustment network, outputting a pixel-level noise coefficient to correct the beam synthesis radio frequency data, and obtaining an enhanced image of the target area. The network loss function comprises Spearman rank correlation loss which is used for maximizing the Spearman rank correlation between noise coefficient adjustment network output and 1-gCF; the signal power constraint loss is used for maximizing the original beam forming radio frequency data intensity reserved by the imaging result of the area specified by the gCF; gCF is a generalized coherence factor. According to the method, the noise suppression capability and the signal retention capability during complex tissue Doppler imaging are optimized, and the imaging effect is improved.

A system and method for synthesizing a fetal heartbeat. A sequence of ultrasound images of a fetus, acquired in a non-Doppler imaging mode and capturing a heart of the fetus, is received and processed to generate an audio signal representative of the heartbeat of the fetus.

The application discloses a kind of unknown figure target to continuous dual-frequency laser Doppler imaging detection method, comprising the following steps.Step one: using dual-frequency laser coherent detection principle and digital micro-mirror array (DMD) to modulate echo signal;Step two: the echo signal containing Doppler frequency shift value after modulation and local signal are mixed and filtered;Step three: Fourier transform is carried out to filtered time-domain signal respectively and frequency domain processing is carried out to obtain the observation value of compressed sensing reconstruction algorithm;Step four: the Doppler frequency shift of moving object is recovered using compressed sensing reconstruction algorithm, to realize Doppler imaging detection.The application combines compressed sensing and dual-frequency laser detection technology, proposes a new Doppler imaging detection signal processing method, which can improve measurement accuracy, effectively reduce the number of signal acquisition measurements, speed up data processing and imaging speed.

The invention discloses an intelligent interference identification method based on radar distance-Doppler imaging characteristics, and relates to the technical field of radar signal processing. Comprising the following steps: performing feature extraction on radar distance-Doppler two-dimensional image data to obtain initial features; performing normalization processing on the initial features to obtain a training sample set and a test sample set; inputting the training sample set into a support vector machine model for training, and determining optimal parameters of the model by adopting grid search based on cross validation to obtain a trained support vector machine model; and inputting the test sample set into the trained support vector machine model to obtain an identification result. The method is used for solving the problem that a traditional signal detection method is difficult to distinguish target echoes and interference echoes.

The invention relates to the technical field of laser radars, in particular to a multi-channel synthetic aperture laser radar imaging method and system based on motion compensation, and the method comprises the steps: obtaining echo data of a plurality of receiving channels; performing range-direction preprocessing on the echo data to obtain range-direction focused multi-channel echo data; setting a tentative speed based on the multi-channel echo data and calculating a corresponding azimuth ambiguity signal ratio (AASR), and executing MAASR search in a preset speed range to determine a target radial speed true value; constructing a motion compensation phase factor according to the target radial velocity truth value and executing phase correction processing on the multi-channel echo data; and performing multi-channel frequency spectrum reconstruction, space-time adaptive processing, full-bandwidth frequency spectrum splicing and distance Doppler imaging processing on the multi-channel echo data after phase correction, and outputting a high-resolution wide-swath image. According to the invention, a correct phase relation among multi-channel echoes can be maintained under the condition that the target motion influence exists, and stable and reliable imaging is realized.