Abstract #2186

A hybrid-segmentation atlas method to construct the attenuation correction factor for human pelvic PET/MRI

Hiroshi Kawaguchi^1,2, Tkayuki Obata^2,3, Hiromi Sano², Eiji Yoshida², Mikio Suga⁴, Yoko Ikoma², Yukari Tanikawa¹, and Taiga Yamaya²

¹Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, ²Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan, ³Research Center for Charged Ion Therapy, National Institute of Radiological Sciences, Chiba, Japan, ⁴Center for Frontier Medical Engineering, Chiba University, Chiba, Japan

The current attenuation correction method for human pelvic PET/MRI contains several problems such that the attenuation due to bone is not considered and a specific MR imaging, intended for attenuation correction only, is needed. In this study, we proposed a method to generate the distribution of attenuation correction factors with considering the bone attenuation using diagnostic T1-weighted MRI for pelvic PET/MRI scanning. The proposed method is the hybrid of the tissue segmentation based on Gaussian mixture model and the non-liner registration of tissue probability to a subject image. The simulation results showed that attenuation correction using the proposed hybrid method reduced the error on PET image than the conventional method.

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