Convolution-based Scatter Estimation

Convolution-Based Scatter Estimation is a computational method in medical imaging physics that estimates scattered radiation in projection data by applying convolution operations to the primary radiation distribution, distinguishing itself through the use of spatially invariant or variant kernels to model scatter spread functions.

31

Publications

1.5K

Citations

103

Authors

46

Institutions

Publications per year

2017–2026

7

Authors

103

  1. PM
    P. Msaki

    Université de Sherbrooke, Canada

    2 publications · 82 citations

    2

    h-index

  2. SM
    Sabee Molloi

    University of California, Irvine, United States

    2 publications · 83 citations

    2

    h-index

  3. ML
    Michael Ljungberg

    Lund University, Sweden

    2 publications · 56 citations

    2

    h-index

  4. CA
    Charles A. Mistretta

    University of Wisconsin–Madison, United States

    2 publications · 87 citations

    2

    h-index

  5. YK
    Yuni K. Dewaraja

    University of Michigan, United States

    1 publications · 55 citations

    1

    h-index

1–5 of 103

Venues

  1. Physics in Medicine and Biology

    10 publications · 564 citations

    10

    h-index

  2. Medical Physics

    4 publications · 327 citations

    4

    h-index

  3. IEEE Transactions on Nuclear Science

    2 publications · 72 citations

    2

    h-index

  4. IEEE Transactions on Medical Imaging

    2 publications · 58 citations

    2

    h-index

  5. 1

    h-index

1–5