Monte Carlo Methods for Assessment of the Mean Glandular Dose in Mammography: Simulations in Homogeneous Phantoms

R. M. Tucciariello, P. Barca, D. Caramella, R. M. Tucciariello, C. Traino, M. E. Fantacci, M. E. Fantacci

2019

Abstract

The rationale of this study is to perform a personalized dosimetry in digital mammography, using Monte Carlo simulations. We developed a GEANT4-based application that reproduces mammographic investigations editable in different setups and conditions. Mean Glandular Dose (MGD) is estimated for different compressed breast sizes and compositions. Breast compositions are obtained with homogeneous mixture of glandular and adipose tissues. The simulated setup reproduces the Hologic Selenia® Dimensions® Mammography System and the TASMIPM tool for deriving the photon fluence from the X-ray source has been employed. The influence of different skin models is also investigated, deriving the mean glandular dose in the breast using adipose tissue for different skin thicknesses, from 2 mm to 5 mm, and a dedicated composition found in literature with the specific thickness of 1.45 mm. We denoted different photon shielding properties on the MGD values.

Paper Citation

in Harvard Style

Tucciariello R., Barca P., Caramella D., Lamastra R., Traino C. and Fantacci M. (2019). Monte Carlo Methods for Assessment of the Mean Glandular Dose in Mammography: Simulations in Homogeneous Phantoms. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-353-7, SciTePress, pages 242-249. DOI: 10.5220/0007482202420249

in Bibtex Style

@conference{bioinformatics19,
author={R. M. Tucciariello and P. Barca and D. Caramella and R. M. Lamastra and C. Traino and M. E. Fantacci},
title={Monte Carlo Methods for Assessment of the Mean Glandular Dose in Mammography: Simulations in Homogeneous Phantoms},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS},
year={2019},
pages={242-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007482202420249},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS
TI - Monte Carlo Methods for Assessment of the Mean Glandular Dose in Mammography: Simulations in Homogeneous Phantoms
SN - 978-989-758-353-7
AU - Tucciariello R.
AU - Barca P.
AU - Caramella D.
AU - Lamastra R.
AU - Traino C.
AU - Fantacci M.
PY - 2019
SP - 242
EP - 249
DO - 10.5220/0007482202420249
PB - SciTePress