Scatter Kernel Superposition

Scatter Kernel Superposition is a computational method in medical imaging that models scattered radiation in projection data by superimposing precomputed scatter kernels, differentiating it from other correction techniques through its reliance on linear combination of spatially variant kernel estimates derived from primary photon distribution.

12

Publications

754

Citations

43

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

43

  1. JS
    Josh Star‐Lack

    Varian Medical Systems (United States), United States

    5 publications · 355 citations

    5

    h-index

  2. MS
    Mingshan Sun

    Varian Medical Systems (United States), United States

    4 publications · 343 citations

    4

    h-index

  3. SS
    Shinichi Shimizu

    Hokkaido University, Japan

    2 publications · 105 citations

    2

    h-index

  4. YN
    Yusuke Nomura

    Stanford University, United States

    2 publications · 105 citations

    2

    h-index

  5. HS
    Hiroki Shirato

    Hokkaido University, Japan

    2 publications · 105 citations

    2

    h-index

1–5 of 43

Venues

  1. Medical Physics

    4 publications · 290 citations

    4

    h-index

  2. 3

    h-index

  3. Physics in Medicine and Biology

    2 publications · 252 citations

    3

    h-index

  4. Journal of X-Ray Science and Technology

    1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Medical Imaging

    1 publications · 87 citations

    1

    h-index

1–5