Iterative Dose Reduction Algorithms

Iterative Dose Reduction Algorithms is a class of computational methods in medical imaging that iteratively refine image reconstruction by incorporating statistical models and system optics to minimize radiation dose while preserving diagnostic image quality, distinguishing it from conventional analytical reconstruction techniques through its feedback-driven, noise-optimized approach.

228

Publications

11.6K

Citations

1.2K

Authors

406

Institutions

Publications per year

2017–2026

66

Authors

1.2K

  1. YO
    Yoshiharu Ohno

    Kobe University, Japan

    10 publications · 340 citations

    9

    h-index

  2. TL
    Tim Leiner

    University Medical Center Utrecht, Netherlands

    7 publications · 476 citations

    7

    h-index

  3. RP
    Ricardo P.J. Budde

    Erasmus MC, Netherlands

    7 publications · 476 citations

    7

    h-index

  4. AM
    Arnold M. R. Schilham

    University Medical Center Utrecht, Netherlands

    6 publications · 440 citations

    6

    h-index

  5. JG
    Joël Greffier

    Université de Nîmes, France

    6 publications · 283 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. European Journal of Radiology

    EJR · 25 publications · 1K citations

    19

    h-index

  2. American Journal of Roentgenology

    AJR · 19 publications · 2.2K citations

    15

    h-index

  3. European Radiology

    18 publications · 1.5K citations

    15

    h-index

  4. Medical Physics

    14 publications · 806 citations

    12

    h-index

  5. Physics in Medicine and Biology

    11 publications · 395 citations

    11

    h-index

1–5