Advanced Monte Carlo application for in-silico clinical trials in X-ray breast imaging

A. Sarno, G. Mettivier, F. Di Franco, G. Paternò, A. Taibi, P. Cardarelli, R. M. Tucciariello, M. E. Fantacci, K. Bliznakova, A. H. Hernandez, J. M. Boone, P. Russo, G. Mettivier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In silico reproductions of clinical exams represent an alternative strategy in the research and development of medical devices, which permit to avoid issues and costs related to clinical trials on patient population. In this work, we present a platform for virtual clinical trials in 2D and 3D X-ray breast imaging. The platform, developed by the medical physics team at University of Naples, Italy, permits to simulate digital mammography (DM), digital breast tomosynthesis (DBT) and CT dedicated to the breast (BCT) examinations. It relies on Monte Carlo simulations based on Geant4 toolkit and adopts digital models of patients derived from high-resolution 3D clinical breast images acquired at UC Davis, USA. Uncompressed digital breast models for BCT exam simulations were produced by means of a tissue classification algorithm; the compressed digital breast models for simulating DM and DBT are derived by the uncompressed ones via a simulated tissue compression. For a selected exam, specifications and digital patient, the platform computes breast image projections and glandular dose maps within the organ. Energy integrating a well as photon counting and spectral imaging detection scheme have been simulated. The current version of the software uses the Geant4 standard physics list Option4 and simulates and tracks <105 photons/s, when run on a 16-core CPU at 3.0 GHz. The developed platform will be an invaluable tool for R and D of apparatuses, and it will permit the access to clinical-like data to a broad research community. Digital patient exposures with the available phantom dataset will be possible for the same patient-derived phantom in uncompressed or compressed format, in DM, DBT and BCT modalities.

Original languageEnglish (US)
Title of host publication15th International Workshop on Breast Imaging, IWBI 2020
EditorsHilde Bosmans, Nicholas Marshall, Chantal Van Ongeval
PublisherSPIE
ISBN (Electronic)9781510638310
DOIs
StatePublished - Jan 1 2020
Event15th International Workshop on Breast Imaging, IWBI 2020 - Leuven, Belgium
Duration: May 25 2020May 27 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11513
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference15th International Workshop on Breast Imaging, IWBI 2020
CountryBelgium
CityLeuven
Period5/25/205/27/20

Keywords

  • BCT
  • DBT
  • Mammography
  • Monte Carlo
  • Patient-like phantoms
  • Virtual clinical trials
  • X-ray breast imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Sarno, A., Mettivier, G., Di Franco, F., Paternò, G., Taibi, A., Cardarelli, P., Tucciariello, R. M., Fantacci, M. E., Bliznakova, K., Hernandez, A. H., Boone, J. M., Russo, P., & Mettivier, G. (2020). Advanced Monte Carlo application for in-silico clinical trials in X-ray breast imaging. In H. Bosmans, N. Marshall, & C. Van Ongeval (Eds.), 15th International Workshop on Breast Imaging, IWBI 2020 [1151315] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11513). SPIE. https://doi.org/10.1117/12.2563322