Adding tissue variability to digital breast phantoms for mammography and digital breast tomosynthesis simulations

Gustavo Pacheco; Martina Nassi; Alessandra Tomal; Koen Michielsen; Ioannis Sechopoulos

doi:10.1117/12.3027012

29 May 2024 Adding tissue variability to digital breast phantoms for mammography and digital breast tomosynthesis simulations

Gustavo Pacheco, Martina Nassi, Alessandra Tomal, Koen Michielsen, Ioannis Sechopoulos

Author Affiliations +

Proceedings Volume 13174, 17th International Workshop on Breast Imaging (IWBI 2024); 1317419 (2024) https://doi.org/10.1117/12.3027012
Event: 17th International Workshop on Breast Imaging (IWBI 2024), 2024, Chicago, IL, United States

Abstract

Intra- and inter-patient tissue variability are seldom implemented in digital phantoms for imaging simulations, which can lead to issues when developing and evaluating material differentiation methods. In this work, we evaluated two methods for generating variability in tissue attenuation properties based on measured properties of human tissue. Our goal is to find a sampling method that generates attenuation curves within measured distributions. The first approach parameterizes tissue attenuation curves as a linear combination of aluminum and PMMA. The second approach is based on the Midgley decomposition model, where the attenuation curve is expressed in terms of five coefficients. Attenuation curves were generated by sampling the two- and five-parameter spaces, and they were compared to previous measurements in ex-vivo adipose tissue acquired at 8 , 11, 15, 20 and 30keV. The average differences of the sampled curves relative to the measurements were 1.68% (2-parameter) and 1.31% (5-parameter), and the absolute differences in coefficients of variation were under 2% for both methods. These results indicate that both methods captured the variability present in measured attenuation curves. This study provides preliminary insights into the effectiveness of two methods for adding tissue variability to imaging simulations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gustavo Pacheco, Martina Nassi, Alessandra Tomal, Koen Michielsen, and Ioannis Sechopoulos "Adding tissue variability to digital breast phantoms for mammography and digital breast tomosynthesis simulations", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 1317419 (29 May 2024); https://doi.org/10.1117/12.3027012

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KEYWORDS

Attenuation

Tissues

Digital mammography

Breast

Adipose tissue

Aluminum

Simulations

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