Iterative Image Reconstruction
Iterative Image Reconstruction is a computational image formation method in computed tomography that, unlike analytical techniques, progressively refines the reconstructed image through successive approximations by minimizing a cost function that models the imaging physics and noise statistics.
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107.5K
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Publications per year
2017–2026
592
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Éric Maire, Philip J. Withers · International Materials Reviews · 2013 · 1.3K citations · Full text
Natural Sciences, Materials Engineering, Materials Science +17
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Medical University of South Carolina, United States
29 publications · 2.6K citations
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Siemens Healthineers (Germany)
Forchheim, Germany
38 h-index
167 publications
11K citations
Massachusetts General Hospital
Boston, United States
29 h-index
256 publications
20.6K citations
Heidelberg University
Heidelberg, Germany
25 h-index
191 publications
8.7K citations
Harvard University
Cambridge, United States
25 h-index
149 publications
9.3K citations
University Hospital of Zurich
Zurich, Switzerland
25 h-index
209 publications
12K citations

University of Manchester
Manchester, United Kingdom
24 h-index
89 publications
4.8K citations
Medical University of South Carolina
Charleston, United States
24 h-index
174 publications
14.2K citations

Washington University in St. Louis
St Louis, United States
24 h-index
77 publications
7.3K citations
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107 publications · 14.3K citations
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130 publications · 7.7K citations
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