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Container applications for the development and integration of virtual imaging platforms.

Bruno Barufaldi1, Miguel A Lago2, Ehsan Abadi3

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Area of Science:

  • Medical Imaging
  • Computational Phantoms
  • Virtual Imaging Trials

Background:

  • Virtual imaging trials (VIT) leverage realistic anatomy models and simulations for virtual image interpretation.
  • Widespread adoption of VIT requires unified methods for reliable application across imaging studies.

Purpose of the Study:

  • Develop a containerized environment to improve collaboration and interoperability across VIT platforms.
  • Integrate key components of OpenVCT and VICTRE breast imaging platforms for direct module comparison.

Main Methods:

  • Utilize Docker for containerized environment creation, ensuring cross-platform integration.
  • Develop wrappers for OpenVCT and VICTRE to simplify setup, execution, and compatibility.
  • Augment breast anatomy with OpenVCT's simplex-based method for enhanced texture modeling.
  • Compare Monte Carlo (VICTRE) and raytracing (OpenVCT) techniques for lesion and calcification simulations.

Main Results:

  • Containerized approach simplified simulation platform setup and execution.
  • Visually comparable breast images generated using VICTRE and integrated OpenVCT methods.
  • Power spectra analysis showed minor differences (0.2) in high-frequency components, with beta estimates near 3.
  • Acquisition geometry variations impacted lesion visualization, showing slight differences between Monte Carlo and raytracing.

Conclusions:

  • Containerized environments enable robust, reproducible cross-platform comparisons and hybrid approaches in medical imaging.
  • Integration of VICTRE and OpenVCT provides data augmentation and method selection resources.
  • This work establishes a foundation for credible, reproducible, and accessible future VIT advancements.