Radiomics texture analysis: comparison between real and in silico images

Diksha Sharma; Kenny H. Cha

doi:10.1117/12.2612607

4 April 2022 Radiomics texture analysis: comparison between real and in silico images

Diksha Sharma, Kenny H. Cha

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 120311X (2022) https://doi.org/10.1117/12.2612607
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

We compare simulated mammograms with real mammogram images using radiomics texture features. Simulated mammogram images are from imaging VICTRE breast models using Monte Carlo x-ray transport simulation. CBIS-DDSM dataset is used for the real mammograms. Texture features are calculated on the entire breast to compare the overall texture. Our results indicate that the simulated images can be seen as a subset of the CBIS-DDSM dataset in terms of textural variability. This preliminary work shows that radiomics can be a useful tool for comparing breast characteristics between different datasets, including simulated versus real datasets.

Citation Download Citation

Diksha Sharma and Kenny H. Cha "Radiomics texture analysis: comparison between real and in silico images", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120311X (4 April 2022); https://doi.org/10.1117/12.2612607

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