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221results about How to "Suppress artifacts" patented technology

Base image TV model based CT (Computed Tomography) beam hardening correcting method

The invention relates to a CT (Computed Tomography) transmission imaging beam hardening correcting method and particularly relates to a base image TV minimized model based CT beam hardening correcting method. On the basis of establishing a beam hardening correcting model with an adjustable parameter, the base image TV model based CT beam hardening correcting method comprises the following steps: firstly, converting an original projection data through the model pretreatment so as to obtain sets of pretreated projection sequences under different adjustable parameter conditions; respectively reconstructing the pretreated projection sequences, thereby obtaining a series of corrected base images; taking a full-variation function of a target image as a cost function and obtaining an optimal solution of a weighting coefficient according to an iterative method; and lastly, summing the weights of the obtained series of base images, thereby forming a final reconstructed image. Compared with the traditional method, the method provided by the invention has the advantages that the priori knowledge, such as scanning copy material, radiation source condition, and the like, is unnecessary, the method is unlimited by external conditions and is strong in universality, and the linear combination is solved when a weighting coefficient is confirmed, so that the method has the advantages of small computation complexity and short operation time.
Owner:THE PLA INFORMATION ENG UNIV

Data processing device comprising ADC unit

A device (100) for processing data, the device (100) comprising a plurality of signal paths (130, 140, 150) each receiving an identical analog input signal (104), at least one signal conditioning unit (101 to 103) in at least one of the plurality of signal paths (130, 140, 150), wherein each signal conditioning unit (101 to 103) is adapted for generating a respective analog intermediate signal (105 to 107) by manipulating a property, particularly an amplitude, of the analog input signal (104), and a plurality of analog to digital converting units (108 to 110) each of which being assigned to a corresponding one of the plurality of signal paths (130, 140, 150) and being supplied with the analog input signal (104) or a respective analog intermediate signal (105 to 107), wherein each of the plurality of analog to digital converting units (108 to 110) is adapted for generating a respective digital intermediate signal (111 to 113) based on the respective analog intermediate signal (105 to 107) or based on the analog input signal (104); a digital signal processing unit (114) supplied with the plurality of digital intermediate signals (111 to 113) and adapted for generating a digital output signal (115) by processing the digital intermediate signals (111 to 113).
Owner:NXP BV

X-ray multi-energy spectrum computed tomography (CT) projection data processing and image reconstruction method

InactiveCN103150744ASuppresses vertical line artifactsEfficient removal2D-image generationReconstruction methodX-ray
The invention discloses an X-ray multi-energy spectrum computed tomography (CT) projection data processing and image reconstruction method, which mainly comprises an X-ray energy spectrum CT projection sinogram processing method and a compressed sensing-based accelerated iterative convergent reconstruction algorithm. The X-ray energy spectrum CT projection sinogram processing method mainly comprises the following steps of: (1) restraining vertical streaking artifacts in a projection sinogram; (2) removing high-brightness noisy points in the projection sinogram. The compressed sensing-based accelerated iterative convergent reconstruction algorithm refers to that image total variation (TV) minimization-based optimal constraint conditions and the ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) are combined. As a number of defects still exist in a traditional X-ray energy spectrum CT detection system (X-ray energy resolution photon counting detector), more noise and artifacts exist in acquired projection data. According to the X-ray multi-energy spectrum CT projection data processing and image reconstruction method, X-ray multi-energy spectrum CT projection data are effectively preprocessed by utilizing a preprocessing means, and meanwhile, a TV-based OS-SART algorithm is introduced into X-ray multi-energy spectrum CT image reconstruction, and therefore, image iterative convergence is accelerated, and the noise and the artifacts in a reconstructed image is well restrained.
Owner:CHONGQING UNIV

Forward-looking radar imaging sea-surface target key point detection and recognition method

The invention discloses a forward-looking radar imaging sea-surface target key point detection and recognition method. The method includes the steps that radar echo data are quantized into a gray scale image; a region of interest is extracted from the gray scale image, partition is performed, and a target region partition image is obtained; the radar echo data and the region of interest of the image are used, and a target region peak point information matrix is obtained; information merging is conducted on the target region partition image and the target region peak point information matrix, the number K of peak points in a target region in a merging result is obtained through counting, the previous K peak points are selected and serve as target effective peak points and form a target effective peak point image in a binaryzation mode, target axial features are extracted, and a target position is determined; the center of gravity of target energy is calculated and serves as the target key point. According to forward-looking radar target features, multiple mode identification methods are used comprehensively, the inherent features of a target can be reserved, meanwhile interference factors such as artifacts and side lobes can be restrained, and the recognition accuracy and the positioning precision of radar imaging sea surface target key points are improved.
Owner:HUAZHONG UNIV OF SCI & TECH
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