Convolution-based Scatter Estimation
Convolution-Based Scatter Estimation is a computational method in medical imaging physics that estimates scattered radiation in projection data by applying convolution operations to the primary radiation distribution, distinguishing itself through the use of spatially invariant or variant kernels to model scatter spread functions.
31
Publications
1.5K
Citations
103
Authors
46
Institutions
Publications per year
2017–2026
7
Parents
31
Scatter/primary in mammography: Monte Carlo validation
John M. Boone, Virgil N. Cooper · Medical Physics · 2000 · 106 citations
Hybrid scatter correction for CT imaging
Matthias Baer, Marc Kachelrieß · Physics in Medicine and Biology · 2012 · 55 citations
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University of Wisconsin–Madison
Madison, United States
4 h-index
16 publications
547 citations

Lund University
Lund, Sweden
3 h-index
7 publications
259 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
5 publications
245 citations
University of California, Irvine
Irvine, United States
2 h-index
5 publications
198 citations
Siemens (United States)
Princeton, United States
2 h-index
4 publications
104 citations

Umeå University
Umeå, Sweden
1 h-index
4 publications
52 citations
University of California, Davis
Davis, United States
1 h-index
2 publications
212 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
1 h-index
2 publications
22 citations
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10 publications · 564 citations
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4 publications · 327 citations
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2 publications · 72 citations
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2 publications · 58 citations
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Conference · 1 publications · 10 citations
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