Model-based Image Reconstruction
Model-Based Image Reconstruction is a computational methodology in acoustic imaging that employs a physical or mathematical model of the wave propagation and measurement process to iteratively refine and solve for the underlying tissue or medium properties, distinguishing it from non-model-based or heuristic reconstruction techniques by explicitly incorporating prior knowledge of the system's physics into the inversion process.
270
Publications
16.8K
Citations
910
Authors
360
Institutions
Publications per year
2017–2026
104
Parents
270
1–5 of 270
910
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360
Technical University of Munich
Munich, Germany
13 h-index
49 publications
4K citations

Helmholtz Zentrum München
Munich, Germany
13 h-index
49 publications
3.4K citations
University of Michigan
Ann Arbor, United States
10 h-index
32 publications
1.3K citations

University of Manchester
Manchester, United Kingdom
9 h-index
27 publications
2.7K citations
Purdue University West Lafayette
West Lafayette, United States
9 h-index
25 publications
4.4K citations

Johns Hopkins University
Baltimore, United States
9 h-index
51 publications
1.7K citations

Indian Institute of Science Bangalore
Bengaluru, India
9 h-index
23 publications
675 citations
University College London
London, United Kingdom
8 h-index
25 publications
2K citations
1–8 of 360
22 publications · 2.5K citations
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11 publications · 655 citations
10
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9 publications · 632 citations
9
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9 publications · 463 citations
9
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7 publications · 344 citations
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