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Abstract #2087

Region-adaptive Deformable Registration for MRI/CT Pelvic Images via Bi-directional Image Synthesis

Xiaohuan Cao1,2, Jianhua Yang1, Yaozong Gao2, Guorong Wu2, and Dinggang Shen2

1School of Automation, Northwestern Polytechnical University, Xi'an, People's Republic of China, 2Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Registering pelvic CT and MRI can help propagate accurate delineation of pelvic organs (prostate, bladder and rectum) from MRI to CT, since it is difficult to directly obtain accurate organ labels from CT due to its low soft-tissue contrast. We propose to use image synthesis to first eliminate the appearance gap between modalities by performing image synthesis in bi-directions in order to provide more anatomical information for guiding the registration. Then, a hierarchical region-adaptive registration framework is proposed to utilize the significant anatomical information from each modality to guide accurate MRI/CT deformable registration.

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