Model-based Reconstruction

Model-Based Reconstruction is a reconstruction methodology that employs a forward model of the imaging process to iteratively refine an image estimate by minimizing a cost function incorporating physical, statistical, or prior knowledge-based constraints.

608

Publications

32K

Citations

2.4K

Authors

796

Institutions

Publications per year

2017–2026

274

Authors

2.4K

  1. CA
    Charles A. Bouman

    Purdue University West Lafayette, United States

    27 publications · 2.2K citations

    19

    h-index

  2. JW
    J. Webster Stayman

    Johns Hopkins University, United States

    21 publications · 586 citations

    15

    h-index

  3. JA
    Jeffrey A. Fessler

    University of Michigan, United States

    12 publications · 653 citations

    12

    h-index

  4. JH
    Jeffrey H. Siewerdsen

    Johns Hopkins University, United States

    12 publications · 354 citations

    11

    h-index

  5. WZ
    Wojciech Zbijewski

    Johns Hopkins University, United States

    8 publications · 212 citations

    8

    h-index

1–5 of 2.4K

Venues

  1. IEEE Transactions on Medical Imaging

    27 publications · 2.6K citations

    21

    h-index

  2. American Journal of Roentgenology

    AJR · 19 publications · 938 citations

    18

    h-index

  3. Physics in Medicine and Biology

    26 publications · 1.2K citations

    17

    h-index

  4. European Radiology

    19 publications · 996 citations

    15

    h-index

  5. Journal of Computer Assisted Tomography

    JCAT · 12 publications · 318 citations

    11

    h-index

1–5