219 results about "Rapid imaging" patented technology

The invention discloses a rapid imaging method and system for a multi-time-sequence magnetic resonance image group, particularly relates to the technical field of multi-time-sequence magnetic resonance image processing, and is used for solving the problems of low imaging speed and poor time sequence consistency. According to the method, sampling reference distribution is constructed in a frequency domain, the reconstruction difficulty is predicted by using graph convolution, a multi-scale under-sampling mask is generated, and sampling is distributed according to channel sensitivity, so that high information priority and sparse controllability are realized; sending the registered sparse data into a space-time-parameter three-domain network, extracting structural, dynamic and parameter characteristics, and obtaining an image group with a clear structure and a stable time sequence through cross-domain fusion, non-rigid body registration and wavelet domain artifact suppression; and forming a comprehensive score by using four indexes output by the quality scoring network, performing reinforcement learning feedback, adaptive adjustment of a sampling rate, a mask, a reconstruction parameter and closed-loop optimization, and finally outputting the comprehensive score together with a sequence parameter, a timestamp and a score, and generating a structure comparison diagram and a time curve to facilitate quality control and presentation.

The invention provides a rapid Marchenko imaging method for undulating surface conditions, and the method comprises the following steps: S1, inputting an earthquake shot record of a fixed surface and a depth domain undulating migration surface, and correcting the earthquake shot record to the migration surface through a static correction method; s2, inputting a depth domain seismic velocity model, and constructing an initial downlink focusing function from an underground target area imaging point to an undulating surface migration surface through a ray tracing algorithm; and S3, taking the shot record on the fluctuating offset surface and the initial downlink focusing function as input, and calculating uplink and downlink Green functions from the underground imaging point to the ground through an iterative method. And S4, applying an energy normalization cross-correlation imaging condition to the reconstructed uplink and downlink Green functions to obtain a Marchenko imaging result. According to the Marchenko imaging method, the problems that conventional Marchenko imaging is low in calculation efficiency and undulating surface conditions cannot be processed are solved, and the Marchenko imaging quality under the undulating surface conditions is ensured while the calculation efficiency is improved.

Systems and methods for producing an ultrafast functional photoacoustic microscopy system are disclosed herein. Such systems are configured to enable the imaging of microvasculature and functional dynamics of tissue samples with a broad field of view and high spatial resolution. According to several disclosed embodiments, a combination of a Raman path and a polygon scanner in water immersion and air immersion environments enables rapid imaging of target materials.

The invention discloses an aviation electromagnetic rapid imaging method and device based on a GAF-CNN, and belongs to the technical field of processing and interpretation of aviation electromagnetic (AEM) data. The method comprises the following steps: acquiring aviation electromagnetic original data and carrying out data preprocessing; mapping the preprocessed data to a spatial domain based on a Gram matrix, and generating a Gramian angle summation field and a Gramian angle difference field; designing a deep convolutional neural network, wherein the network comprises four groups of convolutional layers and two full connection layers which are in communication connection in sequence; and inputting the preprocessed data, the Gramian angle summation field data and the Gramian angle difference field data into a trained deep convolutional neural network to obtain an underground resistivity model. According to the method, through innovative feature representation and deep learning network architecture, the time sequence characteristics and the space characteristics of the electromagnetic data are organically combined, and the inversion precision and the calculation efficiency are remarkably improved.

The invention discloses a hyperspectral fast imaging method and system based on spectral difference depth matrix decomposition, and aims at low signal-to-noise ratio data under a limit imaging condition to realize high-quality image recovery through structural modeling of an average spectrum chart and a spectral difference chart. The method comprises the following steps: firstly, quickly collecting and splicing hyperspectral data to form a three-dimensional tensor, and constructing a forward observation model under a weak light condition; decomposing into an average spectrum chart, a spectrum difference chart and a noise item; rearranging the spectral difference graph into a two-dimensional low-rank matrix, and obtaining a space and spectral principal component matrix by adopting PCA decomposition; an unsupervised dual-path optimization network is innovatively constructed; a 2D jump network is used to optimize a spatial principal component so as to model structural information, and a 1D jump network is used to optimize a spectral principal component so as to fit detail changes; and finally, outputting an optimized spectrum difference graph by the network after joint training, and fusing the optimized spectrum difference graph with the average spectrum graph to complete reconstruction. High-fidelity image reconstruction is realized under single-frame and unsupervised conditions, and the reconstruction quality and robustness are significantly improved.

The invention discloses a marine geological profile rapid imaging and stratigraphic structure inversion system and a marine geological profile rapid imaging and stratigraphic structure inversion method. Comprising a multi-source marine geological data synchronous acquisition module, an acquisition signal noise reduction and space-time registration module, a stratum interface initial positioning and feature enhancement module, a multi-scale geological section rapid imaging module, a stratum physical parameter inversion initialization module, a constraint stratum structure inversion optimization module and an inversion result verification and visual output module. According to the invention, through GPS and Beidou synchronization and Kalman registration, the problem of spatial-temporal dislocation of multi-source data is solved, and deep fusion of sound wave, gravity and magnetic survey data is realized; based on self-adaptive wavelet threshold noise reduction, effective signals are reserved, and meanwhile, marine environment noise interference is greatly reduced; the multi-scale fusion algorithm gives consideration to shallow details and deep structures, and meets the requirements of different exploration targets.

The invention provides a resistivity imaging method and a resistivity imaging device based on remote detection electromagnetic wave logging, which are used for realizing rapid imaging of a medium around a shaft and providing a basis for drilling guidance and stratum evaluation. Comprising the steps of obtaining a remote detection electromagnetic wave logging response measured value of a target well section; segmenting the response measured value, dispersing the stratum corresponding to the segmented response measured value into an initial grid, and obtaining a corresponding network topology structure; constructing an apparent resistivity model based on the stratum prior information of the target well section; selecting a discrete wave number, and obtaining a wave number domain far exploration electromagnetic wave logging response corresponding to the resistivity grid model; obtaining a posterior error, and judging whether the posterior error is smaller than a first threshold value or not; if yes, obtaining a remote detection electromagnetic wave logging response simulation value based on a wavenumber domain remote detection electromagnetic wave logging response; obtaining a data fitting difference based on the remote detection electromagnetic wave logging response simulation value and the remote detection electromagnetic wave logging response actual measurement value; judging whether the data fitting difference is smaller than a second threshold value or not; and if yes, outputting a network topology structure and a resistivity model.

The invention provides a combustion temperature and component concentration rapid imaging measurement method based on frame rate increase, a high-frame-rate laser-induced fluorescence image is obtained by using a deep learning model, and high-speed imaging of combustion temperature and component concentration is realized by fusing laser absorption spectrum data. A flame turbulence image is obtained according to fluid mechanics simulation, a fluorescence image frame interpolation model is obtained through training, and a high-frame-rate fluorescence image is generated through low-speed laser-induced fluorescence data. Obtaining temperature distribution of a combustion field by using laser absorption spectrum data, and substituting the temperature distribution into a fluorescence model satisfied by fluorescent molecules / free radical groups to obtain high-frame-rate gas molecule / free radical group concentration distribution; the concentrations of other products are solved according to a reaction kinetic equation, and the combustion field temperature and a multi-component concentration image are solved through iterative calculation. The frame rate of low-speed fluorescence data is increased according to turbulence motion estimation, the response speed of temperature and concentration distribution imaging is increased, and the method has wide application prospects in the field of combustion reaction monitoring research.

The invention relates to geological three-dimensional reconstruction, in particular to a self-adaptive parameter optimization and rapid imaging method in complex geological body three-dimensional modeling, which comprises the following steps of: integrating multi-source geological data to generate an initial three-dimensional geological model; determining an objective function and constraint conditions of adaptive parameter optimization of the three-dimensional modeling of the complex geologic body, and constructing an adaptive parameter optimization model; solving the adaptive parameter optimization model by adopting an improved crocodile ambush optimization algorithm to obtain an optimal parameter combination; substituting the optimal parameter combination into the initial three-dimensional geologic model, and generating a final three-dimensional geologic model through curved surface reconstruction; according to the technical scheme provided by the invention, the optimal parameter combination is substituted into the initial three-dimensional geologic model, and the final three-dimensional geologic model is generated through curved surface reconstruction.

The invention relates to a terahertz frequency band space target three-dimensional rapid imaging method, device and equipment. The method comprises the following steps: acquiring a two-dimensional ISAR image sequence; based on the two-dimensional ISAR image sequence, constructing a projection relation from a three-dimensional space to a two-dimensional imaging plane; randomly selecting an initial candidate point of the space target, taking the initial candidate point as a starting point, performing first expansion according to a mode of diverging from inside to outside, and generating a plurality of first candidate points; based on the projection relation from the three-dimensional space to the two-dimensional imaging plane, the maximum energy projection criterion is adopted to calculate the projection energy of each first candidate point, a second candidate point with the maximum projection energy is screened out, and the second candidate point is reserved as a real three-dimensional point of the space target; and taking the second candidate point as a starting point, carrying out second expansion according to a mode of diverging from inside to outside until a termination condition is reached, and obtaining a final space target three-dimensional imaging result. According to the invention, three-dimensional imaging can be realized quickly, and the body characteristics of a real target can be reflected better.

The invention relates to the technical field of magnetic field measurement error compensation, in particular to a single-axis Hall surface magnetic rapid imaging analysis system, which is characterized in that a magnetic field gradient real-time analysis unit calculates a magnetic field gradient change rate through a sliding window weighted difference algorithm, identifies a magnetic pole transition region and analyzes the magnetic field gradient change rate. The multi-source error coupling modeling unit synchronizes Hall probe spacing fluctuation, inclination angle and magnetic field gradient data and constructs a composite compensation function, the adaptive compensation unit corrects and counteracts spacing attenuation and projection errors through two-stage assembly lines, and the nonlinear trigger control unit generates an adaptive encryption trigger signal, so that the sampling spacing decreases progressively along with the gradient change rate, and the error compensation is realized. And the magnetic field distribution reconstruction unit fuses the compensation data and the sampling sequence, reconstructs a continuous magnetic field distribution curve by adopting gradient constraint cubic spline interpolation, accurately outputs a magnetic pole boundary position and a surface magnetic field intensity quantification result, and improves the surface magnetic imaging precision and efficiency.

The invention provides a rapid magneto-acoustic-electric tomography method without mechanical rotation and scanning. In order to solve the problems of low speed, poor stability, low imaging precision and the like of rotary scanning measurement in the existing magnetoacoustic-electric tomography (MAET), a magnetoacoustic-electric measurement theory suitable for annular sound source excitation and electrode detection is provided on the basis of sound radiation and a magnetoacoustic-electric coupling mechanism. An MAET imaging method based on annular multi-sound-source cyclic excitation and multi-electrode synchronous measurement is developed. The minimum configuration requirement of the MAET system is obtained based on the influence of the annular sound source, the number of electrodes and the positions of the electrodes on the imaging quality, and an optimal configuration scheme of rapid MAET imaging is provided. According to the invention, mechanical scanning without a transducer or phased scanning measurement of an array sound source is utilized, mechanical rotation of an object is not needed, sound source circulation excitation and multi-electrode synchronous measurement are realized through electronic control, and the imaging speed and stability are improved. The device is easy to be fused with a commercial ultrasonic CT system, and cross-scale multi-modal imaging combining ultrasonic and electrical impedance is realized.

The invention discloses an intelligent detection and analysis system for biological evaluation data of a medical instrument, and relates to the technical field of data processing, and the system comprises an image acquisition module which carries out the rapid imaging of the initial physical planking state of cells in a microwell plate; the image processing and feature quantification module is used for identifying the cell object and extracting a plurality of physical operation quality (POQ) feature parameters representing a population space distribution mode of the cell object; the quality evaluation and early warning module is used for comparing the POQ fingerprint with a preset quality baseline in real time and generating an early warning signal when the deviation exceeds a threshold value; and the data management and trend analysis module is used for continuously recording and analyzing POQ fingerprint historical data associated with the automatic pipetting equipment. According to the method, the physical operation quality is monitored at the experiment starting point, so that the accuracy, the reliability and the experiment efficiency of biological evaluation data of medical instruments are improved, the resource waste and the failure risk caused by initial inoculation errors are effectively reduced, and a way is provided for intelligent management of automatic equipment.

The invention provides a magnetic resonance free respiration data extraction method based on a respiratory wave extraction algorithm, and relates to the technical field of respiration acquisition, and the method comprises the following steps: obtaining a rapid imaging sequence, and extracting a complex number sampling value of a center k space line of the rapid imaging sequence in a z direction as an initial input signal; performing z-direction IFFT interpolation processing on the initial input signal to output a high-resolution z-t signal matrix; performing time dimension signal smoothing processing on the high-resolution z-t signal matrix; performing normalization processing on the z-axis signal at each time point based on a smoothing processing result; the z-axis signals of all the channels are spliced along the longitudinal axis according to the normalization processing result to form a unified matrix; the unified matrix is subjected to standard PCA decomposition, and principal components of the unified matrix are extracted to obtain respiratory wave data; according to the method, the breathing signal waveform can be stably extracted from the MRI original k space in the free breathing state without depending on the breath holding condition, and the structure consistency and time synchronism of breathing waves are improved.

The invention discloses a deep learning-based ultrasonic power Doppler image filtering method, which comprises the steps of 1, constructing input sample data, including data acquisition and preprocessing; 2, a generative adversarial network model based on U-net is constructed, the generative adversarial network model comprises a generator G and a discriminator D, the generator G comprises a coding module, an intermediate module and a decoding module, and the discriminator D comprises a series of convolution modules; and 3, constructing a loss function to train the model and update model parameters to obtain an optimal ultrasonic power Doppler image filtering model. According to the method, an ultrasonic power Doppler image obtained through traditional SVD imaging can be subjected to deep neural network and filtering to obtain a high-quality image comparable with an RAPID imaging method, so that high-efficiency imaging of ultrasonic power Doppler can be realized, and the integrity and smoothness of a blood flow structure of the Doppler image are improved to a certain extent.

The utility model relates to an imaging auxiliary device and a laser imaging system.The imaging auxiliary device comprises a sample bearing device and a position measuring device for measuring the sample bearing device in the z-axis direction, and when the sample bearing device compresses a biological tissue sample in the z-axis direction, the position measuring device measures the position of the sample bearing device in the z-axis direction; the position measuring device can be used for measuring the position of the cover glass at the bottom of the sample bearing device to obtain the position parameter of the biological tissue sample in the z-axis direction, so that the position parameter is used for controlling the laser imaging system to quickly focus the biological tissue sample in the z-axis direction in the imaging process. According to the technical scheme, rapid focusing on the biological tissue sample is facilitated, and the deformation quantity of the cover glass at the bottom of the sample bearing device in the z-axis direction can be obtained in real time, so that the biological tissue sample is indicated to be pressed, the imaging effect is greatly improved, rapid imaging of the laser imaging system is achieved, and the imaging efficiency is improved.

The invention discloses an offshore field two-dimensional seismic data rapid imaging method, and relates to the technical field of seismic exploration data processing, and the method comprises the steps: obtaining SEGD format original seismic data of a target region from a seismic collection system, combining the data of each shot of each measuring line, decoding the data into internal available data, and obtaining a to-be-processed data body; and loading an observation system and assigning seismic trace header parameters according to actual acquisition parameters based on the decompiled to-be-processed data volume. According to the invention, through a multi-stage denoising and signal protection strategy, effective suppression of various sea interferences is realized, a frequency division multi-channel statistical abnormal amplitude suppression technology is adopted, zero-phase high-pass filtering is combined, low-frequency effective signals are protected while low-frequency strong-energy background noise is removed, and the noise suppression effect is improved. The direct wave cutting step further eliminates strong energy interference under a long cable condition, highlights an effective reflection signal of middle and far offset data, forms a progressive signal-to-noise ratio improvement mechanism from original data to final imaging, and improves the interpretability of seismic data.

Disclosed in the present invention are a conical optical illumination-based reflective scanning super-resolution optical microscopy system and method. The system comprises a sample displacement module, an optical microscopic imaging module, an annular focused beam generation module, a beam scanning module, a super-resolution focused illumination and collection module, a super-resolution optical imaging module and a computer. By means of using the advantages of annular focused beam illumination, high focusing efficiency of traditional lenses, and high beam scanning speed, high-efficiency super-resolution focused illumination with an extended depth of focus is achieved, and further traditional optical lenses can be used to achieve fast super-resolution optical microscopic imaging; fast label-free far-field super-resolution two-dimensional microscopic imaging is implemented by means of two-dimensional beam scanning; by means of performing label-free far-field super-resolution two-dimensional microscopic imaging on samples at different axial positions, super-resolution two-dimensional microscopic images of different cross sections of samples are obtained, thereby achieving three-dimensional tomography. The present invention can be applied to fast label-free super-resolution microscopic imaging of biological samples, and can also be applied to other fields such as industrial super-resolution microscopic inspection.

The invention provides a single-array-element super-resolution ultrasonic imaging system based on deep learning, and the system is characterized in that the system comprises an ultrasonic collection module which comprises a single-array-element ultrasonic probe and is used for collecting a plurality of microbubble echo signals of an imaging target tissue at a single imaging angle; the system measurement matrix storage module is used for storing a corresponding system measurement matrix of the single array element ultrasonic probe at a single imaging angle; the microbubble reconstruction module is used for performing image reconstruction on each microbubble echo signal through a Moore-Penrose pseudo-inverse method according to the system measurement matrix to obtain a corresponding reconstructed microbubble image; the microbubble positioning module comprises a trained microbubble positioning network and is used for obtaining a corresponding microbubble positioning image according to the reconstructed microbubble image; and the image reconstruction module is used for carrying out superposition processing on all the microbubble positioning images to obtain a super-resolution ultrasonic microscopic image. In conclusion, the method can realize rapid imaging based on simple imaging equipment and has high imaging quality at the same time.

The invention discloses a metal internal defect rapid imaging detection method based on frequency domain interpolation and laser ultrasound, and belongs to the field of laser ultrasound nondestructive testing. The method comprises the following steps: firstly, carrying out large-interval rapid scanning on a local area of the surface of a tested piece by utilizing laser ultrasound, obtaining a group of ultrasonic body wave time domain signals with the number of x at different positions of the surface of a material, and then carrying out two-dimensional Fourier transform on the obtained time domain signals to obtain a frequency-wave number two-dimensional signal matrix; zero filling is carried out on a high-frequency part in the frequency domain, and then two-dimensional inverse Fourier transform is carried out to obtain interpolation to obtain a group of n time domain signal matrixes (n is gt; and finally, carrying out synthetic aperture imaging processing on the interpolated time domain signal to obtain a high-resolution synthetic aperture imaging result. According to the invention, for metal internal defect detection and imaging, the problems of long time consumption, large required data volume and the like of traditional laser ultrasonic synthetic aperture detection can be effectively solved, and the laser ultrasonic synthetic aperture detection efficiency and the imaging resolution are greatly improved.

The invention provides a near-field scanning rapid imaging device for the radio frequency performance of a multi-channel electrically tunable base station antenna, and relates to the technical field of radio frequency antenna testing, the device comprises a scanning assembly and a data processing module, the scanning assembly is composed of a radio frequency probe installed on a two-dimensional precision displacement platform and a vector network analyzer connected with the radio frequency probe, and the data processing module is connected with the scanning assembly. The scanning module is used for performing point-by-point scanning in an antenna near-field area along a preset plane grid path and collecting scattering parameters representing electromagnetic field characteristics at sampling points to form a near-field scanning data set; and the data processing module receives the data set, executes fast Fourier transform operation, and converts near-field data into far-field radiation characteristics so as to generate a far-field radiation pattern representing the radio frequency performance of the antenna. And the data processing module applies a preset static compensation matrix to the near-field data before conversion, so that the mutual coupling effect between the probe and the antenna is inhibited, and the accuracy of a measurement result is improved.

The utility model relates to the technical field of devices for measuring resistance, reactance, impedance or derived characteristics thereof, in particular to measurement of inductance or capacitance. According to the technical scheme, the spherical three-dimensional electrical capacitance tomography device comprises a spherical pole piece device composed of a plurality of electrode pieces and a spherical container, the pole piece device evenly clings to and wraps the outer surface of the spherical container, a spherical shielding cover is arranged on the outer side of the spherical container, round pipes are arranged on the two sides of the spherical container in the horizontal axial direction, and the round pipes are arranged on the outer side of the spherical container. The circular tube is coaxially matched with the flat welding flange, a closed space is formed by the interior of the shielding cover and the outer side of the spherical container, and the pole piece device is located in the closed space. The spherical three-dimensional electrical capacitance tomography imaging device solves the problems that in the prior art, the structure is complex, mounting and dismounting are inconvenient, precision is poor, and the detection effect is poor, and achieves the purposes of being high in precision, rapid in imaging and capable of giving phase distribution and phase volume fraction.

The present invention provides a high-speed ultra-short-range SAR local BP fast imaging method, which includes constructing a geometric model of a two-dimensional imaging scene and deriving the target scattering point echo signal received by the radar based on the model. The method also includes the following steps: pixel segmentation of the ultra-short-range SAR application scene based on a polar coordinate system; performing frequency modulation processing on the echo signal to obtain the distance R of all targets to the radar when the slow time is zero in the frequency domain. n ; The distance is R n , n∈{1…N}, azimuth direction from θ0 to θ m For a certain pixel in the range, the echo signal amplitude is coherently accumulated in the slow time domain; all azimuth pixels are traversed to obtain the range R n The imaging result is obtained by looping through all target distances using the method in step 3, and obtaining a frame image of the entire scene. The present invention proposes a local BP imaging method based on polar coordinates, which uses the target distance obtained by Fourier transform to narrow the imaging range.

This invention discloses an online super-resolution imaging method for scanning radar based on the minimization criterion. By establishing an azimuth echo convolution model and discretizing it, the super-resolution problem is transformed. Under a regularization framework, the minimization criterion is used to construct an analytically optimizeable cost function containing sparse prior information, transforming the forward-looking imaging resolution improvement problem into an optimization estimation problem. By dividing the antenna measurement matrix into rows and blocks, matrix operations are degraded into the continuous accumulation of vector operations, enabling real-time online updates of targets in the forward-looking region. Finally, the conjugate gradient method is used to degrade and invert the matrix, outputting the super-resolution result. This method can achieve rapid imaging with limited system memory through an online conjugate gradient super-resolution algorithm based on the minimization criterion. Compared with existing batch processing regularization methods, it eliminates false targets, significantly reduces computational complexity, and is beneficial for rapid imaging of scanning radar.

The invention discloses an acute kidney injury nuclear magnetic resonance detection contrast agent as well as a preparation method and application thereof. The lipidosome comprises a first lipid component and a second lipid component, the first lipid component is any one of 1, 2-dipalmitoyl-sn-glycerol-3-phosphorylcholine, 1, 2-dioleoyl-sn-glycerol-3-phosphorylcholine and distearoyl phosphatidylcholine, and the second lipid component is a sterol derivative, and the first lipid component is any one of 1, 2-dipalmitoyl-sn-glycerol-3-phosphorylcholine, 1, 2-dioleoyl-sn-glycerol-3-phosphorylcholine and distearoyl phosphatidylcholine. The molar ratio of the first lipid component to the second lipid component is (1-3): 1. According to the invention, all organic free radicals are used for replacing gadolinium ions, so that renal toxicity and systemic fibrosis risks caused by metal accumulation are eliminated, and the method is especially suitable for imaging of patients with renal insufficiency. The material synthesis process is simple, and the cost is controllable. In addition, the system is seamlessly compatible with clinical 3.0 T MRI equipment, additional hardware transformation is not needed, and popularization and application of AKI bedside rapid imaging diagnosis can be directly promoted.

The present invention relates to the fields of optical imaging, microwave imaging, radar detection, sonar, ultrasonic imaging, and target detection, imaging recognition, and wireless communication technologies based on acoustic, optical, and electrical media. Specifically, it relates to a method for rapid imaging of curved arrays and its applications in these fields. The method of the present invention enables rapid imaging of curved arrays and is applicable to various non-planar and conformal arrays, enabling rapid imaging and target detection. Furthermore, the method of the present invention has the advantages of good compatibility, low computational complexity, excellent imaging quality, and a wide range of applications.

The present invention relates to the technical field of photoelectric devices. Disclosed are a two-dimensional organic / inorganic heterojunction photodetector and a preparation method therefor. According to the present application, a few-layer two-dimensional material is transferred onto a substrate as a base material by means of a mechanical exfoliation method, a few-layer two-dimensional alloy material is transferred to one side of the two-dimensional material as the base material by means of PDMS, then the base material is put into a tubular furnace, to accurately epitaxially grow a single organic molecular layer on the two-dimensional alloy material by controlling the heating temperature and time to form a heterojunction, and finally gold films are transferred onto the organic molecular layer to obtain the photodetector. The heterojunction formed by the Van Der Waals epitaxially grown organic molecular layer and the two-dimensional alloy material is nearly defect-free, and can enhance light absorption without causing carrier trapping; thus, the photodetector has excellent detection capabilities, high light absorption and photoconductive gain, and a high response speed, can achieve high-frame-rate imaging under low-light conditions, and has broad application prospects in the field of imaging.

The invention provides a radio frequency marking axial single-time rapid imaging device and method. The radio frequency marking axial single-time rapid imaging device comprises a detection light source, a radio frequency marking unit and a sample axial excitation detection unit, the radio frequency marking unit carries out radio frequency marking on each spectral component in the detection light beam emitted by the detection light source to obtain the detection light beam after radio frequency marking; the sample axial excitation detection unit comprises an objective lens and a single-pixel detector, the objective lens adopts a dispersion objective lens, each modulated spectral component in the detection light beam after radio frequency marking is focused to different depths in the axial direction of the sample, and signal light generated at each depth is simultaneously detected by the single-pixel detector at a time. According to the radio frequency mark axial single-time fast imaging device and method, fast axial imaging can be achieved within a large depth range, and meanwhile axial random fast imaging is achieved.

The invention discloses an intelligent non-Cartesian magnetic resonance rapid imaging method, and relates to the technical field of reconstruction of magnetic resonance non-Cartesian sampling images. According to the invention, by designing the artifact suppression module, the sensitivity learning module, the data consistency module and the image reconstruction module, the network is allowed to alternately update and learn the high-frequency information component of the sensitivity graph and the reconstructed image, the sensitivity estimation accuracy is improved, and the method has the characteristics of high reconstructed image quality and fast reconstruction speed.

This invention belongs to the field of seismic exploration technology and relates to a multi-model rapid tomographic imaging method with hard constraints based on physical information. The method includes constructing a PIUFNO network model under hard constraints; using travel time perturbations from different seismic sources and background travel time as network inputs, the network directly outputs the corresponding subsurface velocity structure, establishing an end-to-end nonlinear mapping relationship between input and output; incorporating the physical criteria of seismic wave transmission as a hard constraint condition into the loss function to construct a physical constraint loss function and complete model training; after the network training converges and parameters are optimized, new measured travel time perturbation data and corresponding background travel time data are input into the model to deduce the subsurface medium velocity distribution structure, achieving rapid imaging of the subsurface velocity structure. This invention effectively solves the limitation of traditional tomographic imaging, which can only train a single model; through a single training, it can achieve efficient and accurate imaging of multiple models, applicable to different velocity models.