19 September 2017 Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems
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Abstract
The robustness of radiomic texture analysis across different manufacturers of mammography imaging systems is investigated. We quantified feature robustness across mammography manufacturers using a dataset of 111 women who underwent consecutive screening mammography on both general electric and Hologic systems. In each mammogram, a square region of interest (ROI) directly behind the nipple was manually selected. Radiomic features describing parenchymal patterns were automatically extracted on each ROI. Feature comparisons were conducted between manufacturers (and breast densities) using newly developed robustness metrics descriptive of correlation, equivalence, and variability. By examining the distribution of these metric values, we propose the following selection criteria to guide feature evaluation in this dataset: (1) 0.8
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Kayla R. Mendel, Hui Li, Li Lan, Cathleen M. Cahill, Victoria Rael, Hiroyuki Abe, Maryellen L. Giger, "Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems," Journal of Medical Imaging 5(1), 011002 (19 September 2017). https://doi.org/10.1117/1.JMI.5.1.011002 . Submission: Received: 15 May 2017; Accepted: 10 July 2017
Received: 15 May 2017; Accepted: 10 July 2017; Published: 19 September 2017
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