Computed Tomography Reconstruction

Computed Tomography Reconstruction is a computational imaging method that belongs to the class of image reconstruction techniques, specifically distinguished by its use of X-ray projection data acquired from multiple angles around an object to reconstruct cross-sectional images through mathematical inversion algorithms.

2.6K

Publications

135.2K

Citations

6.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

608

Variants

Ct Reconstruction

Authors

6.6K

  1. GW
    Ge Wang

    Rensselaer Polytechnic Institute, United States

    78 publications · 4K citations

    31

    h-index

  2. XP
    Xiaochuan Pan

    University of Chicago, United States

    47 publications · 2.7K citations

    26

    h-index

  3. HY
    Hengyong Yu

    University of Massachusetts Lowell, United States

    49 publications · 1.8K citations

    26

    h-index

  4. FN
    Frédéric Noo

    University of Utah, United States

    37 publications · 2K citations

    23

    h-index

  5. EY
    Emil Y. Sidky

    University of Chicago, United States

    34 publications · 1.9K citations

    22

    h-index

1–5 of 6.6K

Venues

  1. IEEE Transactions on Medical Imaging

    192 publications · 15.6K citations

    62

    h-index

  2. Medical Physics

    220 publications · 13.5K citations

    62

    h-index

  3. Physics in Medicine and Biology

    202 publications · 14.1K citations

    58

    h-index

  4. IEEE Transactions on Image Processing

    52 publications · 4K citations

    33

    h-index

  5. Inverse Problems

    72 publications · 4.6K citations

    31

    h-index

1–5