Algebraic Reconstruction

Algebraic Reconstruction is a computational method in reconstruction theory that employs iterative solutions to linear systems of equations derived from projection data to reconstruct discrete representations of an object’s internal structure.

467

Publications

33.1K

Citations

1.3K

Authors

529

Institutions

Publications per year

2017–2026

92

Authors

1.3K

  1. GW
    Ge Wang

    Rensselaer Polytechnic Institute, United States

    15 publications · 1.4K citations

    13

    h-index

  2. HC
    Heang‐Ping Chan

    University of Michigan, United States

    14 publications · 664 citations

    13

    h-index

  3. LM
    Lubomir M. Hadjiiski

    University of Michigan, United States

    12 publications · 629 citations

    12

    h-index

  4. JW
    Jun Wei

    University of Michigan, United States

    12 publications · 567 citations

    12

    h-index

  5. RG
    Richard Gordon

    University of Manitoba, Canada

    11 publications · 3.7K citations

    10

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Medical Imaging

    26 publications · 6.1K citations

    20

    h-index

  2. Medical Physics

    26 publications · 1.2K citations

    19

    h-index

  3. 15

    h-index

  4. Physics in Medicine and Biology

    14 publications · 752 citations

    14

    h-index

  5. Inverse Problems

    13 publications · 671 citations

    12

    h-index

1–5