43 results about "Correlative imaging" patented technology

An infrared (IR) camera and associated electronics including power are integrated into portable, self-contained, vision-enhancement apparatus useful in environments of dense air-borne particulate and thermal extremes such as encountered in fire fighting situations, in accordance with the invention. The IR camera is integral with a self-contained power supply so that the system is portable and requires no umbilical cord or other external connections. The camera includes an imager that is preferably an un-cooled focal plane array, and associated imaging, storing, processing and displaying electronics that are cooled in the extreme thermal environment using an integral plural phase heatsink.

A method and apparatus for detecting radiation including x-ray, gamma ray, and particle radiation for radiographic imaging, and nuclear medicine and x-ray mammography in particular, and material composition analysis are described. A detection system employs fixed or configurable arrays of one or more detector modules comprising detector arrays that may be electronically manipulated through a computer system. The detection system, by providing the ability for electronic manipulation, permits adaptive imaging. Detector array configurations include familiar geometries, including slit, slot, plane, open box, and ring configurations, and customized configurations, including wearable detector arrays, that are customized to the shape of the patient. Conventional, such as attenuating, rigid geometry, and unconventional collimators, such as x-ray optic, configurable, Compton scatter modules, can be selectively employed with detector modules and radiation sources. Novel Compton gamma camera designs can be implemented. Edge-on detector resolution may be enhanced by measuring the interaction location along the height of the aperture. Edge-on detectors may be irradiated from the side. The components of the imaging chain can be calibrated or corrected using processes of the invention. X-ray mammography and scintimammography are enhanced by utilizing sectional compression and related imaging techniques.

The invention discloses a stochastic radiation radar coincidence imaging method applied to the field of radar imaging technology. The invention aims to solve a problem of comparatively high matrix relevance of a radiation field under an array aperture with limited bandwidth since that the radiation field formed by a prior stochastic radiation field construction method has comparatively large redundant information. According to the invention, a space stochastic field is obtained through stochastic signals of a transmission space of a transmission antenna array and the radiation field changes stochastically over time on the basis of configured transmission signal parameters; distribution of a space-time two-dimensional stochastic radiation field is obtained according to the configuration ofan antenna array, parameters of transmission signals and target distance history and echo signals are obtained according to the distribution of the stochastic radiation field by a receiving antenna; and finally, a coincidence imaging result of a target scene is obtained according to the relation between the distribution of the stochastic radiation field and the echo signals. The method provided bythe invention ensures the orthogonality of stochastic amplitude and phase of transmission signals and enhances incoherence of an echo stochastic scattered field.

The invention discloses a method for imaging an object behind a scattering medium based on a convolutional neural network PDSNet. According to the method, the traditional speckle correlation imaging algorithm principles are combined, the design and optimization of the network are guided, and the limitation of the optical memory effect OME on the imaging field angle FOV is eliminated in a data driving mode. The convolutional neural network PDSNet is a neural network structure suitable for a random scale and a complex target. The hidden object recovery capability of the convolutional neural network PDSNet is experimentally tested, and at least 40 times of optical memory effect range expansion is realized on the premise that the average PSNR is kept above 24dB. And meanwhile, under an untrained scale, the average PSNR of the recovered image is more than 22dB, and complex targets such as a human face are successfully reconstructed. Experimental results given in the invention verify the accuracy and effectiveness of the method.

The invention discloses an ore prospecting method utilizing ground high-precision gravity measurement. The ore prospecting method mainly comprises six methods, namely a wave number domain iteration method of a potential field high-order derivative, a potential field separation method based on an iterative filtering method, a TASD method for identifying a boundary of a geologic body, an Euler deconvolution method for potential field data processing, a potential field abnormal cross-correlation imaging technical method and a gravity man-machine interaction profile forward modeling method. The ore prospecting method utilizing ground high-precision gravity measurement has the advantages of processing and explaining data of a plurality of gravity profiles, adopting the explaining methods covering the wave number domain derivative iteration method, the iterative filtering method of field separation and the cross-correlation imaging technology based on residual anomalies to be applied to gravity data, and achieves a good processing result.

The invention discloses a speckle correlation imaging method and device based on a Wirtinger Flow algorithm, and the method comprises the steps: S1, obtaining a target speckle image, and carrying outthe autocorrelation Fourier transform of the target speckle image according to the Wiener-Khinchin theorem, and obtaining a target power spectrum; and S2, establishing a cost function of the target image and the target power spectrum through a Wirtinger Flow algorithm, optimizing the cost function through an optimization algorithm, solving an optimal solution of the cost function, and reconstructing the target image according to the optimal solution. According to the method, the robustness of the target reconstruction process to measurement noise and system distortion can be improved, any prior information of the target is not needed, and the quality of the reconstructed target is improved.

In a method and system for automatically processing studies of imaging examination systems, each of the studies is given a priority code. Dependent on its priority code, the study is either processed immediately on a first computer allocated to the appertaining imaging examination system or the study is first intermediately stored in a memory device for a later processing, and an identifier allocated to the study is stored in a processing job list. At later points in time, the studies whose identifiers are stored in the processing job list are processed according to a predefined sequence. The first computer has further computers allocated to it for this purpose. The availability of the allocated, further computers is then checked and, insofar as one of the allocated computers is available for a processing of the study, an intermediately stored study is communicated to the appertaining, allocated computer for processing.

Disclosed herein are collagen-targeted imaging agents for positron emission tomography and related imaging methods using the collagen-targeted imaging agents. The collagen-targeted imaging agent is a cyclic polypeptide comprising a cyclic main body, wherein the cyclic main body comprises at least one S—S bond; at least two branches, wherein each of the at least two branches comprises at least three amino acids; and a linker, wherein the linker is capable of linking an imaging reporter.

The invention discloses a cosine transform-based method for adaptive threshold filtering reconstruction of projection data of an X-ray computed tomography (CT) medical image. The method comprises the steps of (1) using a CT device to collect the projection data on the condition of a low tube current scanning protocol, and obtaining relevant imaging parameters; (2) estimating secondary moment statistical characteristics of the projection data; (3) conducting gray-scale feature-based adaptive segmentation on the collected projection data; (4) conducting discrete cosine transform on the projection data subjected to segmentation in Step (3); (5) conducting data threshold filtering modeling on the projection data subjected to discrete cosine transform in Step (4) by using projection data variances calculated in Step (2); (6) conducting inverse discrete cosine transform on filtered data obtained in Step (5), and obtaining the filtered projection data before reconstruction; and (7) for the filtered projection data obtained in Step (6), using an analytic reconstruction method to achieve reconstruction of the CT image. By the aid of the method, high-quality reconstruction of the CT image can be achieved.

The invention discloses a two-way wave pre-stack depth migration method based on matrix multiplication. The method comprises the following steps: S1, constructing a first-order equation system about adepth variable; S2, performing calculation to obtain eigenvalue decomposition or spectral decomposition of a matrix H; S3, performing calculation to obtain a recursive two-way wave field depth continuation equation from z to z+delta z; S4, calculating a vertical wave number and a trigonometric function of the vertical wave number according to matrix multiplication; S5, bringing the vertical wavenumber and the trigonometric function thereof back to the S3, and calculating a recursive two-way wave field depth continuation equation in a general form; S6, after calculation a continuation wave field of the next depth, calculating an offset result by utilizing a cross-correlation imaging principle; S7, judging whether the offset program is calculated to the maximum model depth or not, and if so, ending the algorithm; otherwise, repeating the steps from S3 to S6; and S8, verifying the stability and accuracy of structure imaging under the salt mounds in the steps from S1 to S7 based on the salt mound model.

The invention discloses an improved seismic source reverse time positioning method and a computer readable storage medium, and the positioning method comprises the steps: building a speed model of a target work area, and carrying out the grid discretization of the speed model; performing wave field reverse time back propagation based on the discretized speed model and wave field data recorded by each detector in the target work area, and applying an autocorrelation imaging condition in the wave field reverse time back propagation process to determine an initial positioning profile; determiningamplitude noise around each detector position in the initial positioning profile based on the autocorrelation of the reverse time continuation wave field of each detector; and removing amplitude noise from the initial positioning profile to obtain a final positioning profile so as to determine the position of the seismic source. The positioning method can improve the seismic source positioning precision and reduce the positioning artifacts, and is especially suitable for the application scene of detector sparse distribution.

The invention discloses a method for carrying out elastic vector wave imaging by using seabed multi-component seismic records, which belongs to the technical field of seismic imaging. The method comprises the following steps of: 1) preprocessing acquired seabed multi-component seismic data, including repositioning, interpolation, denoising, ghost wave suppression, multiple waves and the like, so that the acquired seabed multi-component seismic data can be used for elastic wave imaging; 2) inputting an elastic parameter of a model, and simulating by using an acoustic-elastic coupling equation to obtain a forward vector P wave; 3) reversely transmitting seismic records by using a sound-elastic coupling equation to obtain a P wave and an S wave of a vector; and 4) obtaining a vector PP wave image and a PS wave image by using a vector cross-correlation imaging condition. According to the method, different seabed multi-component seismic data can be selectively utilized to carry out elasticwave imaging of a seabed complex structure, especially, seabed four-component seismic data can be simultaneously utilized to carry out tensor continuation of a receiving end, non-physical artifacts existing in conventional elastic wave imaging can be suppressed, and the imaging quality is improved.

An X-ray single-pixel camera based on X-ray computational correlated imaging, which belongs to the technical research fields of X-ray computational correlated imaging and X-ray single-pixel imaging. The X-ray single-pixel camera includes: an X-ray modulation system (3), an X-ray modulation control system (4), an X-ray single-pixel detector (5), a main control system unit (6), a time synchronization system (7) and a computational imaging system (8). The main control system unit (6) controls each module through software; the time synchronization system (7) controls synchronization of each module for automatic collection; and the computational imaging system (8) is configured to perform a second-order correlated computation or a compressed sensing computation or a deep learning computation on the signals collected by the X-ray single-pixel detector (5) and a preset modulation matrix, so as to obtain an image of an object under test. The X-ray single-pixel camera based on X-ray computational correlated imaging, provided by the present invention, realizes single-pixel imaging, greatly reduces the sampling number while ensuring the imaging quality, and reduces the X-ray radiation dose in an imaging process.