Abstract #4941

Development of Robust Texture Parameters for Characterizing Normal Breast Parenchymal Patterns

Yang Zhang¹, Jeon-Hor Chen^1,2, Siwa Chan³, Dah-Cherng Yeh⁴, and Min-Ying Su¹

¹Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, Irvine, CA, United States, ²E-Da Hospital and I-Shou University, ³Tzu-Chi General Hospital, Taichung, Taiwan, ⁴Taichung Veterans General Hospital, Taichung, Taiwan

The non-fat-sat T1-weighted breast MRI of 57 normal healthy women were analyzed. In order to test the robustness of parameters we compared the texture analyzed from the ROI’s of different sizes as the largest cuboid that can fit within the breast and cover 30%, 40%, and 50% of fibroglandular tissue slices. 21 texture features were selected as robust features that were not greatly affected by the cuboid ROI size. The concordance correlation coefficient of the percent density between bilateral breasts was very high, 0.98. Of all texture parameters, “Information Measure for Correlation (IMC)” and “Contrast” show the highest ccc, 0.90-0.98.

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