Presentation + Paper
4 April 2022 Validation of a breast density quantization software with 3D printed breast phantoms
Author Affiliations +
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.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Solís, C. Fedon, M. L. Hill, and I. Sechopoulos "Validation of a breast density quantization software with 3D printed breast phantoms", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120310W (4 April 2022); https://doi.org/10.1117/12.2611534
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KEYWORDS
Breast

Mammography

Tissues

Signal attenuation

X-rays

3D modeling

Quantization

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