@inproceedings{1d43398bd382404886ec219e01820777,
title = "Validation of a breast density quantization software with 3D printed breast phantoms",
abstract = "The aim of this study is to evaluate the accuracy of one of the commercial breast density quantization software. The estimation is performed by means of mammograms of five different 3D printed breast phantoms obtained from clinical patient images. Mammograms of these phantoms were acquired and analyzed using the density software. In addition, the spectra used by the automatic exposure control for each mammogram was accurately characterized and modeled using a previously published spectral model. The result is that the amount of estimated dense tissue is accurate to within an intra-phantom mean of 10% (std. dev. <4.4%), with negligible bias.",
keywords = "Breast density, breast phantom, mammogram",
author = "N. Sol{\'i}s and C. Fedon and Hill, {M. L.} and I. Sechopoulos",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; Medical Imaging 2022: Physics of Medical Imaging ; Conference date: 21-03-2022 Through 27-03-2022",
year = "2022",
doi = "10.1117/12.2611534",
language = "English",
volume = "12031",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Wei Zhao and Lifeng Yu",
booktitle = "Medical Imaging 2022",
address = "United States",
}