Abstract #0280

Co-registration of Breast Diffusion MR Images Across Multiple Time Points in a Longitudinal Study to Evaluate the Response to Neoadjuvant Chemotherapy

Guangyu Dan^1,2, Muge Karaman^1,3, Shunan Che⁴, Zheng Zhong^1,3, Han Ouyang⁴, and Xiaohong Joe Zhou^1,3,5

¹Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, ²Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, ³Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, ⁴Department of Diagnostic Radiology, National Cancer Center and National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, ⁵Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Breast cancer is one of the most common cancers among women. Recently, several diffusion models have been proposed to characterize breast cancer. To extend these models for the assessment or prediction of treatment response of breast cancer, image co-registration throughout the time course of treatment is a significant challenge, particularly considering the vulnerability to deformation of the breast tissue. In this study, we demonstrate a 3D non-rigid co-registration method, and apply it to diffusion weighted (DW) images acquired in a longitudinal study during neoadjuvant chemotherapy.

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