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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 Dan1,2, Muge Karaman1,3, Shunan Che4, Zheng Zhong1,3, Han Ouyang4, and Xiaohong Joe Zhou1,3,5

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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