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Abstract #3828

Comparison of multi-atlas based and template based method in the quantitative analysis of [18F]-FP-DTBZ PET

Yiwei Pan1, Shuying Liu2, Yao Zeng1, Chenfei Ye3, Hongwen Qiao2, Tianbing Song2, Haiyan Lv4, Piu Chan2, Jie Lu2, and Ting Ma1,2,3
1Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China, 2Xuanwu Hospital Capital Medical University, Beijing, China, 3Peng Cheng Laboratory, Shenzhen, China, 4Mindsgo Life Science Shenzhen Co. Ltd, Shenzhen, China


[18F]-FP-DTBZ PET provides reliable information for the diagnosis of Parkinson’s disease. Quantitative analysis of PET images requires a precise segmentation of the region of interest. Two [18F]-FP-DTBZ PET image quantification methods, multi-atlas based and template based methods were compared in this study. A total of 68 subjects were included, each of them underwent 3D T1-weighted MR imaging and [18F]-FP-DTBZ PET imaging. Twenty subjects were used to build atlases and 48 were used for validation. Using dice coefficient and ICC coefficient for evaluation, we observed that the multi-atlas based method showed better performance than the template based method.

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