Research use only. Not for clinical diagnosis, treatment planning or decisions about patients.

Publications

Papers that describe AMIGO or used it. If you use AMIGOpy in a publication, cite the 2014 paper.

  1. Phys Med Biol 70(10), 2025
    Evaluating photon-counting computed tomography for quantitative material characteristics and material differentiation in radiotherapy
    DECT module; the phantom data are on Zenodo (10.5281/zenodo.15119102).
    doi:10.1088/1361-6560/add3ba
  2. Phys Imaging Radiat Oncol, 2024
    Development of a novel 3D-printed dynamic anthropomorphic thorax phantom for evaluation of four-dimensional computed tomography
    4DCT, breathing curves and 3D printing modules.
    doi:10.1016/j.phro.2024.100656
  3. Med Phys, 2023
    AAPM WGDCAB Report 372: A joint AAPM, ESTRO, ABG, and ABS report on commissioning of model-based dose calculation algorithms in brachytherapy
    Monte Carlo and TG-43 comparison in brachytherapy.
    doi:10.1002/mp.16571
  4. Brachytherapy, 2021
    Validation of the collapsed cone algorithm for HDR liver brachytherapy against Monte Carlo simulations
    AMIGO with MCNP as the Monte Carlo reference.
    doi:10.1016/j.brachy.2021.03.018
  5. Radiat Oncol, 2020
    The dosimetric impact of replacing the TG-43 algorithm by model based dose calculation for liver brachytherapy
    AMIGO with MCNP.
    doi:10.1186/s13014-020-01492-9
  6. Brachytherapy 13(6):632-639, 2014
    A medical image-based graphical platform: features, applications and relevance for brachytherapy
    The original AMIGO (MATLAB) description. Cite this paper when using AMIGO or AMIGOpy.
    doi:10.1016/j.brachy.2014.07.004
BibTeX
@article{fonseca2014amigo,
  title   = {A medical image-based graphical platform: features, applications and relevance for brachytherapy},
  author  = {Fonseca, Gabriel P. and Reniers, Brigitte and Landry, Guillaume and White, Shane and Bellezzo, Murillo and Antunes, Paula C. G. and de Sales, Camila P. and Welteman, Eduardo and Yoriyaz, Helio and Verhaegen, Frank},
  journal = {Brachytherapy},
  volume  = {13},
  number  = {6},
  pages   = {632--639},
  year    = {2014},
  doi     = {10.1016/j.brachy.2014.07.004}
}

AMIGOpy builds on VTK, pydicom, SimpleITK, PySide6, NumPy, SciPy, OpenCV, PyTorch and TotalSegmentator.