Seoul, South Korea
Seoul, South Korea

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Yu A.R.,Yonsei University | Yu A.R.,Hanyang University | Kim J.S.,Yonsei University | Kim H.-J.,Yonsei University | And 5 more authors.
IEEE Transactions on Nuclear Science | Year: 2013

18F-FP-CIT PET image was useful for diagnosis of Parkinson's disease (PD). Although spatial normalization step is necessary in SPM analysis, it was difficult to apply the spatial normalization on 18F-FP-CIT PET due to the lack of reference for spatial normalization. Therefore, additional data acquisition such as MRI or FDG PET scans is needed. In this study, we developed the voxel based statistical analysis method for 18F-FP-CIT PET using early phase of 18F-FP-CIT. 18F-FP-CIT PET data was acquired from 7 normal and 1 PD model rat brain. Emission PET data was collected for 1 h at the start of 1 mCi of 18F-FP-CIT. We used the early phase uptake image (from 0 to 1200 s) including perfusion phase as referential information for spatial normalization. Additionally, 18F-FDG PET was acquired as referential data to validate the substitution of 18F-FP-CIT. To validate early phase 18F-FP-CIT PET data for spatial normalization, correlation coefficient between early phase 18F-FP-CIT and 18F-FDG were assessed. Using our proposed method, SPM for 18F-FP-CIT PET was successfully implemented. Early phase 18F-FP-CIT PET corresponding early phase and 18F-FDG PET were highly correlated. When we applied our developed method for the comparison between normal and PD, we can identify the difference of 18F-FP-CIT between the normal and PD in the striatum $(P<0.005, {\rm K}>0)$. The SPM method for 18F-FP-CIT PET data could provide high localization accuracy in PD analysis. This method may be useful for assessment of PD. © 1963-2012 IEEE.