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Abstract #0813

CycleSeg: MR-to-CT Synthesis and Segmentation Network for Prostate Radiotherapy Treatment Planning

Huan Minh Luu1, Gyu-sang Yoo2, Dong-Hyun Kim1, Won Park2, and Sung-Hong Park1
1Magnetic Resonance Imaging Laboratory, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiation Oncology, Samsung Medical Center, Seoul, Korea, Republic of

MR-only radiotherapy planning can reduce the radiation exposure from repeated CT scanning. Most researches focus on generating synthetic CT images from MR, but not the contouring of organs-of-interest in said images, which requires manual labor and expertise. In this study, we proposed CycleSeg, a CycleGAN-based network that can accomplish both tasks to streamline the process and reduce human efforts. Experiments showed that the proposed CycleSeg can generate realistic synthetic CT images along with accurate organ segmentation in the pelvis of patients with prostate cancer.

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