Image Reconstruction

Image Reconstruction is a mathematical and algorithmic process in biomedical imaging by which raw measurement data acquired by an imaging system (such as projection, k-space, or count data) are transformed, using models of the imaging physics and acquisition geometry, into a spatially or temporally resolved image representation of the underlying object or activity distribution.

28.5K

Publications

1.9M

Citations

54.2K

Authors

6.9K

Institutions

Publications per year

2017–2026

9.1K

Authors

54.2K

  1. JA
    Jeffrey A. Fessler

    University of Michigan, United States

    184 publications · 14.4K citations

    57

    h-index

  2. GW
    Ge Wang

    Rensselaer Polytechnic Institute, United States

    154 publications · 18.6K citations

    53

    h-index

  3. SA
    Simon Arridge

    University College London, United Kingdom

    141 publications · 13K citations

    52

    h-index

  4. XY
    Xin Yuan

    Westlake University, China

    82 publications · 7.1K citations

    45

    h-index

  5. KD
    Keith D. Paulsen

    Dartmouth College, United States

    73 publications · 6.7K citations

    45

    h-index

1–5 of 54.2K

Venues

  1. IEEE Transactions on Medical Imaging

    1.1K publications · 118.5K citations

    166

    h-index

  2. IEEE Transactions on Image Processing

    776 publications · 122.4K citations

    153

    h-index

  3. Magnetic Resonance in Medicine

    MRM · 913 publications · 97.9K citations

    132

    h-index

  4. Physics in Medicine and Biology

    911 publications · 53.1K citations

    110

    h-index

  5. Medical Physics

    763 publications · 45.1K citations

    98

    h-index

1–5