Peter T. Fwu1, Jeon-Hor. Chen1, 2, Siwa Chan3, Dah-Cherng Yeh4, Chin-Kai Chang2, Julian Kao1, Muqing Lin1, Orhan Nalcioglu1, Min-Ying L. Su1
1Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvne, CA, United States; 2Department of Radiology, China Medical University Hospital, Taichung, Taiwan; 3Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan; 4Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
We applied quantitative methods to investigate the symmetry of bilateral breasts. The volume, as well as the 3D morphology (Circularity, Convexity, Irregularity) and texture properties (gray-level co-occurrence matrix) of the segmented fibroglandular tissues on MRI were analyzed. A high correlation between the volume measured from the left and right breasts is observed. The correlation for morphology parameters are still high, and worse for texture parameters. The analysis of symmetry is particularly important for detection of non-mass-like lesions on breast MRI. The result may provide a reference dataset for developing intellectual computer-aided diagnostic systems for detecting abnormal lesions on MRI.