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Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing
Work
Year: 2020
Type: article
Abstract: X-ray computed tomography (CT) reconstruction from a sparse number of views is a useful way to reduce either the radiation dose or the acquisition time, for example in fixed-gantry CT systems; however... more
Source: SIAM Journal on Imaging Sciences
Authors Alessandro Perelli, Michael Lexa, Ali Can, Mike E. Davies
Institutions GE Global Research (United States), University of Edinburgh
Cites: 56
Cited by: 4
Related to: 10
FWCI: 0.334
Citation percentile (by year/subfield): 74.35
Topic: Medical Imaging Techniques and Applications
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders U.S. Department of Homeland Security, Royal Society, Engineering and Physical Sciences Research Council, H2020 European Research Council, H2020 Marie Skłodowska-Curie Actions
Grant IDS HSHQDC-14-C-B0048, , EP/J015180/1, ERC-ADG-2015-694888, 713683