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Authors: R. Tucciariello 1 ; P. Barca 1 ; D. Caramella 2 ; R. Lamastra 1 ; C. Traino 3 and M. Fantacci 4

Affiliations: 1 Department of Physics, University of Pisa, Pisa, Italy ; 2 Department of Radiology, Pisa University Hospital “Azienda Ospedaliero-Universitaria Pisana”, Pisa, Italy ; 3 Unit of Medical Physics, Pisa University Hospital “Azienda Ospedaliero-Universitaria Pisana”, Pisa, Italy ; 4 Department of Physics, University of Pisa, Pisa, Italy, INFN, Pisa Section, Pisa, Italy

ISBN: 978-989-758-353-7

Keyword(s): Digital Mammography, Monte Carlo Simulations, Dosimetry, Glandular Dose, Air Kerma, Breast Imaging, Skin Model, GEANT4, RADIOMA.

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.

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Paper citation in several formats:
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 - Volume 3: BIOINFORMATICS, ISBN 978-989-758-353-7, pages 242-249. DOI: 10.5220/0007482202420249

@conference{bioinformatics19,
author={R. M. Tucciariello. and P. Barca. and D. Caramella. and R. 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 - Volume 3: BIOINFORMATICS,},
year={2019},
pages={242-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007482202420249},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - 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

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