Abstract #2634

Computational Simulation of Effects of the Morphology of Fibroglandular Tissues on Projected Breast Density Changes After Breast Compression Based on 3D MRI

Tzu-Ching Shih^1,2, Jeon-Hor Chen^2,3, Muqing Lin⁴, Daniel Chang⁴, Ke Nie⁴, Orhan Nalcioglu^4,5, Min-Ying Su⁴

¹Department of Biomedical Imaging & Radiological Science, China Medical University, Taichung, 40402, Taiwan; ²Department of Radiology, China Medical University Hospital, Taichung, 40402, Taiwan; ³Tu & Yuen Center for Functional Onco-Imaging & Department of Radiological Sciences, University of California, Irvine, Irvine, CA 92697 , United States; ⁴Tu & Yuen Center for Functional Onco-Imaging & Department of Radiological Sciences, University of California, Irvine, Irvine, CA 92697, United States; ⁵Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 609-735, Korea, Republic of

Usually, a breast tumor is harder than any tissue around it and the shape of benign masses is round or oval. By contrast, a malignant tumor is irregular in shape and has the invasive characteristics. Little is known about the influence of the morphology of fiborglandular tissues on breast density. Fibroglandular tissues would affect breast density. Breast compression changes breast density that indirectly influences the assessment of breast cancer risk. Thus, the purpose of this study is to investigate the effect of the morphology of fibroglandular tissue on the projected breast density after the breast compression based on a non-linear deformation using patient-specific magnetic resonance images.