66 results about "Image reconstruction algorithm" patented technology

The invention discloses a multi-target sensing and tracking method for detecting an unmanned aerial vehicle swarm through a single-photon laser radar, and belongs to the field of photoelectric detection and signal processing. The problem that a traditional image reconstruction algorithm and a tracking algorithm are difficult to adapt to ultra-low signal-to-noise ratio, high dynamic and multi-target complex sensing requirements is solved. The method comprises the following steps: carrying out systematic prepeak noise self-adaptive suppression on global photon arrival time data acquired by a single-photon laser radar; performing photon event physical statistical modeling and background noise suppression based on the suppressed data to obtain an enhanced residual signal; performing space-time consistency enhancement processing on the enhanced residual signal to realize extraction and reconstruction of a multi-target area; based on the extracted photon events in the multi-target area, performing trajectory fitting and prediction by adopting a Bayesian weighted RANSAC (Random Sample Consensus) fitting method; and designing a target tracking algorithm based on scale adaptive updating and template matching of an optical flow method and pyramid search assistance, and carrying out robust tracking on multiple targets. The method is used in target tracking field.

The present invention provides a generation method for calibration data. The calibration data is used for correction of image reconstruction of a scanning imaging device. The method comprises: placing a calibration phantom in a scanning area formed by rays, wherein the calibration phantom comprises M sections respectively composed of M materials, the M materials have M physical property theoretical values, respectively, and M is a positive integer greater than or equal to 2; by means of a detector, collecting rays passing through the scanning area so as to acquire actual projection data; on the basis of the actual projection data, using an image reconstruction algorithm to reconstruct the calibration phantom to obtain a reconstructed image; performing segmentation processing on the reconstructed image to obtain M reconstructed sub-images, wherein the M reconstructed sub-images respectively correspond to the M sections; for the M reconstructed sub-images, respectively calculating M physical property measurement values corresponding to the M sections; and generating calibration data on the basis of the M physical property theoretical values and the M physical property measurement values.

The application relates to an image reconstruction method of an LSTM-based electrical capacitance tomography system, which comprises the following steps: (1) constructing an electrical capacitance tomography system model, obtaining a sensitivity field of the electrical capacitance tomography system through Comsol finite element simulation software, and obtaining electrical capacitance vectors under different positions and different shapes of an object field distribution; (2) obtaining a reconstructed image through a Landweber algorithm; (3) determining a ''time sequence'' sample according to ''rows'', and obtaining an image reconstruction result through an LSTM neural network model; (4) determining a ''time sequence'' sample according to ''columns'', and obtaining an image reconstruction result through an LSTM neural network model; and (5) fusing two image results to obtain a final image reconstruction result. Through the above method, the reconstructed image quality is improved, and the reconstructed medium distribution is closer to the real distribution.

The invention discloses a handheld rapid three-dimensional fundus blood supply imaging system and method.The system comprises an upper computer, a laser excitation module, a probe, a data collection module and a space positioning module, the laser excitation module, the probe, the data collection module and the space positioning module are connected with the upper computer, and the laser excitation module conducts wavelength conversion on input pump laser through the stimulated Raman scattering principle to generate excitation light; the exciting light is then transmitted to the probe for high-speed scanning, the probe receives real-time pose feedback of the space positioning module at the same time so as to eliminate the influence of operation jitter, the data acquisition module pre-processes a photoacoustic signal acquired by the probe and then transmits the photoacoustic signal to the upper computer, and a distribution diagram is generated through an image reconstruction algorithm and analyzed. According to the invention, four clinical troubles of poor molecular specificity, depth-resolution imbalance, low clinical adaptability and deficiency of quantitative standards in the existing imaging technology are fundamentally solved, and a universal tool is provided for early screening of eye ground ischemic diseases.

A single-pixel imaging method for an object retracing a motion trajectory, a system, a medium, and a device. The method comprises: a controller generating, according to a predefined formed-image reconstruction algorithm, a modulation pattern sequence having different spatial distributions, and inputting the modulation pattern sequence into a light modulation apparatus (S1); the light modulation apparatus receiving a trajectory pulse signal from a digital signal processor, and simultaneously sending a modulated pulse signal to a synchronous multi-channel signal acquisition apparatus (S2); the synchronous multi-channel signal acquisition apparatus receiving the modulated pulse signal, and being triggered to acquire, at a predetermined sampling frequency, a plurality of sample values of a sampled light signal illuminating an object to be imaged and detected by a first detector (S3); the controller selecting a target sample value from among the sample values as a formed-image reconstruction sample value, the formed-image reconstruction sample value corresponding to a target modulation pattern in the modulation pattern sequence (S4); repeating the above steps until each formed-image reconstruction sample value corresponds to each modulation pattern in the modulation pattern sequence on a one-to-one basis, and generating a formed-image reconstruction sample value sequence on the basis of each formed-image reconstruction sample value (S5); on the basis of the formed-image reconstruction algorithm, the controller performing image reconstruction on the formed-image reconstruction sample value sequence to generate a single formed image of the object to be imaged (S6); and repeating the above steps until a count of generated single formed images reaches a predetermined number (S7). The imaging system is capable of imaging, over an extended period of time, high-speed objects retracing a motion trajectory at varying velocity.

The invention discloses a flat panel detector and a method and device for using the flat panel detector. A flat panel detector is constructed on the basis of an amorphous silicon substrate on which a hexagonal pixel pattern is uniformly laid. The hexagonal pixels can be arranged more closely on a two-dimensional plane, and gaps among the pixels are reduced, so that a photosensitive area is maximized with a relatively high filling rate, and the spatial resolution of the detector is improved. And the hexagonal pixels enable a frequency space to generate an angle of 60 degrees, so that the influence of grid artifacts is reduced to a certain extent. Meanwhile, the hexagonal pixel array is effectively processed and optimized by adopting an image reconstruction algorithm, the signal-to-noise ratio of the single pixel of the flat panel detector is improved, and the definition and accuracy of the image are improved.

The application relates to the technical field of CT imaging, in particular to a finite-angle CT image reconstruction algorithm based on a repair matrix, which comprises the following steps: constructing a repair matrix according to a prior information set; updating a landslide artifact image according to the repair matrix, a wavelet tight frame transformation operator, a preset reconstruction image, a preset landslide artifact image and a first preset auxiliary variable to obtain an updated landslide artifact image; and updating a reconstruction image according to a system matrix, the wavelet tight frame transformation operator, the updated landslide artifact image and a second preset auxiliary variable to obtain an updated reconstruction image. In this way, the preset landslide artifact image is updated through the repair matrix, and then the preset reconstruction image is updated according to the updated preset landslide artifact image, so that the details and edge information blurred and degraded by the landslide artifact in the image are repaired, and the quality of the finite-angle CT image is improved. Meanwhile, in the iteration process, the noise is suppressed through the wavelet tight frame transformation operator, and the quality of the finite-angle CT image is further improved.

The present invention discloses a multi-scale hyperspectral image reconstruction algorithm and system from RGB images, which belongs to the field of computer vision hyperspectral images. The algorithm includes: processing the original RGB image through a multi-scale processing module, and outputting a feature map Y' i ; The feature map Y' i The feature image with multi-scale preprocessing information is added and stacked with the original RGB image itself in the spectral channel dimension to obtain a feature image with multi-scale preprocessing information; the feature image with multi-scale preprocessing information is passed through three spatial-spectral Transformer joint processing modules in sequence to jointly process the spatial-spectral dimensions to obtain a feature image with spatial-spectral feature information; the feature image with spatial-spectral feature information is processed through the spectral dimension Transformer to obtain a feature image with the spectral dimension feature information fully extracted by the Transformer; the feature image with the spectral dimension feature information fully extracted by the Transformer is passed through a 3×3 convolutional layer to adjust the channel dimension to the target 31-channel output, and finally a hyperspectral image is obtained.

The invention discloses a dynamic material flow monitoring method and system for cut tobaccos, and the method comprises the steps: uniformly arranging measuring electrodes on the inner wall of a cut tobacco conveying pipeline for secondary winnowing, so as to construct an electrode array for electrostatic charge detection; forming a polar plate corresponding to the capacitor by the measuring electrode and a set shielding electrode; the capacitance value of the capacitor is obtained through the electrostatic charges of the pipe wall, and the capacitance value correspondingly changes along with the distribution concentration of tobacco shreds in the tobacco shred conveying pipeline; obtaining the capacitance value change of the capacitor in real time, and obtaining a distribution image of tobacco shreds in the tobacco shred conveying pipeline by using an image reconstruction algorithm; and calculating the volume ratio of the tobacco shreds according to the distribution image, and further calculating the tobacco shred flow and the tobacco shred blanking mass according to the volume ratio and the tobacco shred flow velocity. According to the invention, the accuracy and convenience of dynamic flow monitoring of the secondary winnowing tobacco shreds can be improved.

The application provides a rearrangement method, a CT scanning device and a readable storage medium. The rearrangement method comprises the following steps: transposing base data formed by a plurality of fan beam projection data, and calculating and outputting parallel beam projection data based on the transposed base data. In this way, the internal structure of the base data is changed by data transposition, so that the data related to the same parallel beam projection data exists in the same row of the base data, the access frequency of the first storage medium when generating one parallel beam projection data is reduced, the rearrangement time is reduced, and the problem that the CT rearrangement algorithm has frequent memory access, slow speed and affects the reconstruction speed of the whole image reconstruction algorithm in the prior art is solved.

The invention relates to a target reconstruction method for a sparse view angle image, belongs to the technical field of image reconstruction, and solves the problems of low quality and artifacts of a reconstructed image obtained by reconstruction based on the sparse view angle image in the prior art. The target reconstruction method comprises the following steps: detecting and collecting a target object through an X-ray machine to obtain a detection projection image with a small number of projection visual angles; based on a linear interpolation method, performing interpolation on the detection projection image in the projection visual angle direction to obtain an interpolation recovery projection image; inputting the interpolation recovery projection image into a pre-trained projection domain network model to obtain an optimized projection image; and reconstructing the optimized projection image based on a preset image reconstruction algorithm to obtain a target reconstructed image. And the quality of the image reconstructed by the sparse view angle image is improved.

The application discloses a plasma electron temperature two-dimensional distribution multi-time point diagnosis method and device based on an X-ray waveband sheet array, equipment and a medium, and comprises the following steps: acquiring two X-ray coded images under the same time signal; reconstructing the X-ray coded images through a coded image reconstruction algorithm to obtain a high-resolution X-ray intensity image corresponding to each X-ray coded image; constructing a corresponding relationship between the intensity ratio and the electron temperature of the two high-resolution X-ray intensity images at the same position based on the working principle of a multi-channel filter sheet method; determining the electron temperature two-dimensional distribution information at the time point according to a plurality of corresponding relationships, and expanding the electron temperature two-dimensional distribution multi-time point data. The application belongs to the field of plasma electron temperature diagnosis. The application can improve the light collection efficiency and the spatial resolution.

The embodiment of the invention provides an image processing method, a model training method and related equipment, and the method comprises the steps: obtaining a preview image in response to a starting operation of a camera application; in response to the shooting operation, determining a first image from the preview images, and obtaining a dynamic range compression (DRC) image corresponding to the first image as a second image; performing pyramid decomposition on the first image through a preset image processing model to obtain a first low-frequency image, and performing pyramid decomposition on the second image to obtain a second low-frequency image and a plurality of high-frequency images; performing pyramid decomposition on the mask image corresponding to the first image to obtain a third low-frequency image; fusing the first low-frequency graph, the second low-frequency graph and the third low-frequency graph to obtain a first fused graph; and based on an image reconstruction algorithm, obtaining a target DRC image according to the first fusion image and the plurality of high-frequency images. Through the preset image processing model, the preview image can be utilized to optimize the DRC image, and the brightness difference between the preview image and the target DRC image is reduced.

This invention discloses a method and apparatus for X-ray finite-angle CT image reconstruction based on generalized total variation, comprising: Step 1, using a finite-angle CT scan dataset p, and employing an image reconstruction operator R related to the scan geometry parameter set G. G Update estimated image u (k) Obtain the intermediate image u (k+1 / 2) k is the iteration number; Step 2, use the sparsity of the gradient to constrain the intermediate image u (k+1 / 2) The estimated image u is obtained. (k+1) Step 3: Determine if the iteration requirement has been met. If so, terminate the iteration and output the estimated image u. (k+1) Conversely, if the boundary is not clear, proceed to step 1. This invention overcomes the problem of blurred boundaries in existing finite-angle CT image reconstruction algorithms.

The invention relates to a method for operating a computed tomography device (150), wherein the computed tomography device (150) comprises at least one x-ray radiation source (131) configured for generating x-ray radiation cones (132) for irradiating an object (134), wherein the computed tomography device (150) comprises at least one detector (136) configured for detecting the x-ray radiation of the x-ray radiation cones (132) that have interacted with the object (134), wherein the x-ray radiation source (131) comprises at least one electron optic arrangement (138) configured for variably arranging at least one electron beam (140) onto a plurality of positions of focal spots on at least one target comprised by the x-ray radiation source (131) in a manner that a plurality of different x-ray radiation cones (132) emerging from the focal spots is generated in order to image different portions of the object (134); the method comprising:performing a projection image scanning sequence (PSS) by using an imaging focal spot pattern in order to generate a plurality of projection images, wherein the imaging focal spot pattern comprises a plurality of x-ray focal spot positions on the at least one target (144) such that a volume of the object (134) to be reconstructed is irradiated by the different x-ray radiation cones (132);performing a tomographic scanning sequence (TSS) by performing the projection image scanning sequence (PSS) at differing viewing angles;performing an image reconstruction algorithm using the projection images in order to reconstruct a 3D-image of the object (134).The invention further relates to a computed tomography device (150), a computer program and a computer-readable storage medium. The invention may be employed in order to extend the field of view for a specific viewing angle.

The invention provides a metallurgical mineral conveying process component real-time monitoring method and a metallurgical mineral conveying process component real-time monitoring system based on electromagnetic tomography. The method comprises the following steps: carrying out non-contact scanning on a conveyor belt by adopting a multi-frequency excited and eccentrically arranged EMT sensor array, and constructing a mineral-electromagnetic characteristic mapping database in combination with an electromagnetic tomography image reconstruction algorithm and a deep learning method; real-time mineral pixel-level identification is carried out through the trained machine learning model; the recognition result is divided according to grid areas, and the real-time mass ratio data of all minerals on the material section are calculated in combination with the pre-calibrated mineral density and the area weight factor corrected by the belt curvature; and signal drift compensation is carried out by fusing high-precision temperature sensor data. And finally, real-time mass ratio data are converted into control signals, downstream equipment such as a sorting mechanical arm and a batching valve is driven, online recognition, precise quantification and intelligent regulation and control of mineral components are achieved, and the resource utilization efficiency and the automation level in the metallurgical process are remarkably improved.

The application discloses a brain hemorrhage magnetic induction tomography image reconstruction method based on an improved NR algorithm, and comprises the following steps: obtaining coil detection phase data and a sensitivity matrix by using an established brain hemorrhage MIT finite element model; introducing a regularization penalty term based on a target function of a traditional NR algorithm and solving an iterative formula of the algorithm, determining optimization parameters in the algorithm by a v method, and taking a conductivity distribution calculated by using a linear back projection algorithm as an initial value of iteration of the improved NR algorithm; introducing a projection operator P Ensuring that the algorithm converges on a convex set each time; determining an optimal threshold value or a maximum number of iterations, and outputting a final conductivity distribution. Compared with a traditional magnetic induction tomography image reconstruction algorithm, the application has better image reconstruction quality, can effectively reduce image reconstruction artifacts, and can detect brain hemorrhage.

This invention discloses a three-dimensional resistivity imaging probe and system for ultra-deep directional boreholes, belonging to the field of engineering exploration technology. The downhole probe adopts an inner-lined scanning structure with longitudinal grooves on its outer shell surface. A probe array is installed within the grooves, and the exposed ends of the probes are radially scattering, forming inner-lined contact with the borehole wall. The probe integrates an attitude measurement and probe extension module, a power supply module, and a data storage and transmission module. The system includes a ground control and processing unit, a cable transmission unit, and the downhole probe itself. An excitation electric field is generated by the power supply electrodes, and the probe array collects borehole wall voltage and current data. Combined with a three-dimensional resistivity imaging model and image reconstruction algorithm, an image of the circumferential cylindrical resistivity distribution of the borehole is generated. This invention achieves in-situ, high-precision three-dimensional resistivity imaging of boreholes, accurately identifying the spatial distribution of faults, fissures, and weak interlayers around the borehole, providing reliable technical support for risk identification and assessment in deep earth engineering.

This application provides a method and system for digitizing pathological slides using low-resolution imaging. The method includes the following steps: imaging a multi-resolution calibration template using both low-resolution and high-resolution imaging systems to acquire low-resolution and high-resolution images; constructing high / low-resolution image pairs of pathological tissues using information provided by the multi-resolution calibration template; training a super-resolution image reconstruction algorithm in a supervised manner using multiple high / low-resolution image pairs to establish a computational model; imaging the pathological slides using the low-resolution imaging system, and then converting the low-resolution images into high-resolution images using the computational model. Through low-resolution imaging and computational model conversion, a new digitization technique for pathological slides based on low-resolution imaging is established, solving the problems of slow speed, local defocusing, and geometric distortion in current high-resolution imaging digitization, saving digitization time, and improving image quality.

A photoacoustic temperature imaging method based on a delay signal dispersion weighting factor belongs to the technical field of photoacoustic / ultrasonic imaging, and comprises the following steps: S1, constructing a dual-bandwidth photoacoustic imaging system based on photoacoustic and ultrasonic dual modes; s2, a pulse laser of the imaging system emits laser, and a central computer of the imaging system preprocesses the ultrasonic modal signals; s3, calculation and linearization processing of an SDDP factor are carried out; s4, weighting of SDDP factors and temperature reconstruction are carried out; and S5, system verification and application. According to the method, by introducing the SDDP weighting factor, weighting calculation is provided for the reconstructed image, and the phenomena of high artifacts and multiple side lobes existing in a traditional image reconstruction algorithm are effectively inhibited. The invention provides a new method for reconstructing a photoacoustic temperature image, which obviously improves the non-intrusive temperature imaging resolution ratio based on the photoacoustic effect and improves the temperature measurement precision. Compared with other non-linear weighting factors, the SDDP factor provided by the invention can reconstruct photoacoustic temperature image information better in real time through linear processing.

The present application relates to the technical field of object imaging, and discloses a single-pixel imaging method, system, medium, and device for repeated object motion trajectories. The method comprises: generating a modulation pattern sequence with different spatial distributions according to a preset imaging image reconstruction algorithm, and inputting the sequence into a light modulation device; a trajectory detection device sends a trajectory pulse signal, synchronously triggering the light modulation device to perform light modulation, and the light modulation device simultaneously sends a modulation pulse signal, synchronously triggering the multi-channel signal synchronization acquisition device to receive multiple sampling values; selecting a target sampling value from each sampling value as an imaging image reconstruction sampling value; performing image reconstruction using the imaging image reconstruction sampling value sequence to generate a single imaging image of the object to be imaged; repeating the above steps until the number of generated imaging images reaches a preset number. The present application proposes that the imaging system has the ability to continuously image objects with high-speed repetitive motion trajectories with varying motion speeds for a long period of time.

A framework for output validation of an image reconstruction algorithm. The framework receives original input data and reconstructed image data generated by the image reconstruction algorithm based on the original input data. Analytical forward projection is performed on the reconstructed image data to generate an algorithmic version of the original input data. The original input data and the algorithmic version of the original input data are applied as input to a likeness discriminator to generate a validation value that validates the image reconstruction algorithm.

This invention provides a high-resolution computational imaging system and method for multi-structure electron irradiation and data fusion. The system includes: an electron beam source module that generates an electron beam of at least one wavefront shape and irradiates the sample under test; a sample platform module that carries the sample under test and, in conjunction with the electron beam of each wavefront shape, controls the relative displacement between the sample and the electron beam for zoned illumination; an electron detection module that, during zoned illumination, acquires diffraction patterns formed by the electron beam of the corresponding wavefront shape passing through the corresponding zone of the sample under test at each zone location; and a data processing module that stitches together the diffraction patterns of the wavefront-shaped electron beams corresponding to each zone location and uses an image reconstruction algorithm to perform phase recovery and complex amplitude reconstruction on the diffraction information of the stitched patterns to determine the sample transmission information and obtain a sample transmittance image. This invention achieves high-resolution imaging, has a simple overall structure, and low equipment cost.

The invention relates to an image reconstruction method based on a dual-network model, belongs to the technical field of image reconstruction, and solves the problem of low quality of a reconstructed image obtained by reconstruction based on a sparse view angle image in the prior art. The image reconstruction method comprises the following steps: detecting and collecting a target object through an X-ray machine to obtain a detection projection image with a small number of projection visual angles; based on a linear interpolation method, performing interpolation on the detection projection image in the projection visual angle direction to obtain an interpolation recovery projection image; inputting the interpolation recovery projection image into a pre-trained projection domain network model to obtain an optimized projection image; reconstructing the optimized projection image and the detection projection image based on a preset image reconstruction algorithm to obtain an optimized reconstructed image and an initial reconstructed image; and inputting the optimized reconstructed image and the initial reconstructed image into a pre-trained image domain network model to obtain a target reconstructed image. And the quality of the image reconstructed by the sparse view angle image is improved.

The invention discloses novel CBCT (cone beam computed tomography) equipment, which belongs to the technical field of oral and maxillofacial image equipment and comprises an X-ray source module, an area array detector module, a mechanical positioning module, an image feature extraction and matching module, an image splicing and fusion module, a man-machine interaction and image management module and a control module. In the invention, a high-resolution area array detector and an advanced image reconstruction algorithm are adopted, so that fine structures such as bones, teeth, soft tissues and the like in the skull can be clearly presented, the image resolution is remarkably improved, a doctor is helped to find minimal lesions, and the diagnosis accuracy is improved; the area array detector can acquire large-area image information at one time, so that the imaging time is greatly shortened, the possibility of motion artifacts caused by movement of a patient is reduced, and the image quality and the examination efficiency are improved; through an accurate dose monitoring and control system, the X-ray dose is intelligently adjusted according to the individual condition of a patient, the radiation dose accepted by the patient is effectively reduced on the premise of ensuring the image quality, and the health of the patient is ensured.

The invention discloses a photoacoustic calculation tomography system based on a dual-band focusing type optical fiber transducer array. Pulse focusing laser generated by a nanosecond pulse laser is guided by a light transmission beam to irradiate an imaging object; an imaging object generates a photoacoustic signal after absorbing light and being heated to expand; the optical fiber transducer array around the imaging object converts the received photoacoustic signal into an optical signal; the photoelectric detector converts a received optical signal into an electric signal, then the electric signal is transmitted to the data acquisition card for digital processing, and finally the computer processes the acquired data by using an image reconstruction algorithm to obtain a two-dimensional tomographic image. And controlling the cross section of the imaging object through the linear displacement table to obtain a three-dimensional tomographic image. According to the dual-band focusing type optical fiber transducer, frequency response and focusing modes can be flexibly controlled, targeted adjustment can be made according to different imaging requirements, and therefore the application range of the dual-band focusing type optical fiber transducer is greatly widened.

The application discloses a photoacoustic imaging method and system, relates to the technical field of medical imaging, and independently designs a fast photoacoustic imaging system of a ring-shaped fiber fusion ring-shaped array ultrasonic probe in the hardware aspect; the system can perform nondestructive imaging on a tissue; the imaging method is that laser pulses are emitted by a laser system; laser pulses are focused into a ring-shaped light spot by beam shaping; when the ring-shaped light spot irradiates a sample, local temperature rise caused by light absorption in the sample forms transient thermal expansion, and then ultrasonic waves are generated; the ultrasonic waves contain internal structure information of the sample; a plurality of ultrasonic sensors at the ring-shaped position simultaneously receive photoacoustic signals propagating back from different directions; the collected photoacoustic signals are processed, an image reconstruction algorithm is used, and the processed signals are converted into a three-dimensional photoacoustic image.

The invention discloses an ERT inversion image imaging method and system based on sensitivity optimization, and the method comprises the steps: classifying boundary measurement values, constructing an initial sensitivity matrix with a full air field as a reference, and carrying out the targeted zero setting and enhancement optimization of a column vector and a row vector according to liquid level information, according to the method, the problem of measurement failure caused by the fact that an electrode makes contact with a gas phase when a sewage pipeline is in a non-full-field state is solved, the problem of inapplicability of the ERT technology under the non-full-field working condition is solved, the problem that the imaging speed and the imaging precision cannot be achieved at the same time is solved, a sensitivity self-adaptive adjustment algorithm is used, and the measurement accuracy is improved. In combination with an image reconstruction algorithm of one-step iteration, the resolution of an inversion image can be effectively improved while the imaging speed is ensured, so that real-time and high-precision detection of a detected field domain is realized.

The invention provides a calculation gating three-dimensional imaging method and a calculation gating three-dimensional imaging device, which can be applied to the technical field of three-dimensional imaging. The method comprises the steps that a laser pulse is emitted to a target object, an echo signal formed after reflection of the target object is received, and the echo signal comprises a plurality of subframe signals; performing coded modulation on the plurality of sub-frame signals based on a digital micromirror device to obtain a plurality of modulated sub-frame signals; receiving the K modulated sub-frame signals in different delays by using a gating shutter according to preset gating delays to obtain K gating sub-frame signals, and the K gating sub-frame signals have different gating delays; determining a coded modulation image based on the K gating subframe signals; carrying out decoding recovery on the coded modulation image by using a compressed sensing image reconstruction algorithm, and calculating K reconstructed gating sub-frame images; and performing three-dimensional inversion reconstruction on the K reconstructed gating sub-frame images through a stepping delay gating three-dimensional imaging algorithm to obtain a three-dimensional image of the target object.

The application relates to a kind of charged particle CT imaging detection method and system. Including: obtaining the beam parameter of charged particle beam, and calculating the relative position of the charged particle beam out of the beam parameter and the adjustment position of each detector, the detector includes the upstream detector before the charged particle beam passes through the object to be measured and the digital detector after passing through the object to be measured;The position of the upstream detector and the digital detector is controlled to the corresponding adjustment position;Receive the charged particle beam, sequentially through the upstream detector, the object to be measured and the digital detector, and read the detection information of the upstream detector and the digital detector in the form of digital signal;According to the detection information, generate Sinogram image, and carry out preliminary image processing;According to the Sinogram image of preliminary image processing, generate tomographic image based on image reconstruction algorithm.The application can improve data processing efficiency and accurately measure particle trajectory.