Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM)
Work
Year: 2011
Type: article
Abstract: We propose a compressive sensing approach for multi-energy computed tomography (CT), namely the prior rank, intensity and sparsity model (PRISM). To further compress the multi-energy image for allowin... more
Source: Inverse Problems
Authors Hao Gao, Hengyong Yu, Stanley Osher, Ge Wang
Institutions University of California, Los Angeles, Wake Forest University, Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences
Cites: 50
Cited by: 254
Related to: 10
FWCI: 6.204
Citation percentile (by year/subfield): 94.15
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: green