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AMIGOpy

Welcome to AMIGOpy (A Medical Image-based Graphical platfOrm - Python)! This is an evolution of the previously developed MATLAB-based software AMIGOBrachy. While AMIGOBrachy was a user interface tailored specifically for absorbed dose calculations in brachytherapy coupled with MCNP6 MC code, AMIGOpy extends this functionality and brings a plethora of new features, with a Python backbone and VTK for image rendering.

Features

  • Modular Support for RadioTherapy Modules: AMIGOpy offers resources for:

  • Enhanced Image Support: Handle multiple image formats including (1st version focusing on DICOM):

    • Nifti
    • TIFF
    • DICOM
  • Radiochromic Film Dosimetry and Dual-Energy CT.

  • Advanced Image Registration: Seamlessly register and process your medical images.

  • Auto Folder Searching: Automatically searches folders and subfolders, efficiently grouping and loading data.

  • 3D Printing Support: For customized brachytherapy applicators.

Development Philosophy

The development of AMIGOpy emphasises:

  • Strong Documentation: Every module, function, and feature is thoroughly documented
  • Extensive user guide: Videos, tutorials, etc.

Publications using AMIGOpy (and original AMIGOBrachy)

  • Evaluating photon-counting computed tomography for quantitative material characteristics and material differentiation in radiotherapy Phys Med Biol. 2025 May 13;70(10). doi: 10.1088/1361-6560/add3ba.
  • Development of a novel 3D-printed dynamic anthropomorphic thorax phantom for evaluation of four-dimensional computed tomography Phys Imaging Radiat Oncol. 2024 Oct 2 doi: 10.1016/j.phro.2024.100656
  • AAPM WGDCAB Report 372: A joint AAPM, ESTRO, ABG, and ABS report on commissioning of model-based dose calculation algorithms in brachytherapy Med Phys. 2023 Aug doi: 10.1002/mp.16571
  • Validation of the collapsed cone algorithm for HDR liver brachytherapy against Monte Carlo simulations Brachytherapy. 2021, July–August doi: https://doi.org/10.1016/j.brachy.2021.03.018
  • The dosimetric impact of replacing the TG-43 algorithm by model based dose calculation for liver brachytherapy. Radiat Oncol. 2020 Mar doi: 10.1186/s13014-020-01492-9
  • A medical image-based graphical platformdFeatures, applications and relevance for brachytherapy Brachytherapy. 2021, November–December doi:10.1016/j.brachy.2014.07.004

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