Image Reconstruction Hardware

Image Reconstruction Hardware is a specialized computational system within medical imaging instrumentation that enables the transformation of raw projection data into spatially resolved tomographic images through high-performance processing components optimized for reconstruction algorithms.

154

Publications

6.3K

Citations

758

Authors

282

Institutions

Publications per year

2017–2026

38

Authors

758

  1. TS
    Thomas Sangild Sørensen

    Aarhus University, Denmark

    3 publications · 446 citations

    3

    h-index

  2. MT
    Marc Trepanier

    Mercury Systems (United States), United States

    3 publications · 107 citations

    3

    h-index

  3. KY
    Kenji Yamada

    Shimane University, Japan

    2 publications · 111 citations

    2

    h-index

  4. GW
    Ge Wang

    Rensselaer Polytechnic Institute, United States

    2 publications · 56 citations

    2

    h-index

  5. JB
    Joonsung Bae

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 92 citations

    2

    h-index

1–5 of 758

Venues

  1. IEEE Transactions on Nuclear Science

    9 publications · 276 citations

    9

    h-index

  2. Medical Physics

    8 publications · 491 citations

    8

    h-index

  3. IEEE Transactions on Medical Imaging

    5 publications · 502 citations

    5

    h-index

  4. Magnetic Resonance in Medicine

    MRM · 5 publications · 477 citations

    5

    h-index

  5. Journal of Structural Biology

    4 publications · 203 citations

    4

    h-index

1–5