Construction and Evaluation of Quantitative Small-Animal PET Probabilistic Atlases for [18F]FDG and [18F]FECT Functional Mapping of the Mouse Brain

Automated voxel-based or pre-defined volume-of-interest (VOI) analysis of small-animal PET data in mice is necessary for optimal information usage as the number of available resolution elements is limited. We have mapped metabolic (¹⁸F]FDG) and dopamine transporter (¹⁸F]FECT) small-animal PET data onto a 3D Magnetic Resonance Microscopy (MRM) mouse brain template and aligned them in space to the Paxinos co-ordinate system. In this way, ligand-specific templates for sensitive analysis and accurate anatomical localization were created. Next, using a pre-defined VOI approach, test-retest and intersubject variability of various quantification methods were evaluated. Also, the feasibility of mouse brain statistical parametric mapping (SPM) was explored for ¹⁸F]FDG and ¹⁸F]FECT imaging of 6-hydroxydopamine-lesioned (6-OHDA) mice.

Methods

Twenty-three adult C57BL6 mice were scanned with ¹⁸F]FDG and ¹⁸F]FECT. Registrations and affine spatial normalizations were performed using SPM8. ¹⁸F]FDG data were quantified using (1) an image-derived-input function obtained from the liver (cMR_glc), using (2) standardized uptake values (SUV_glc) corrected for blood glucose levels and by (3) normalizing counts to the whole-brain uptake. Parametric ¹⁸F]FECT binding images were constructed by reference to the cerebellum. Registration accuracy was determined using random simulated misalignments and vectorial mismatch determination.

Results

Registration accuracy was between 0.21–1.11 mm. Regional intersubject variabilities of cMR_glc ranged from 15.4% to 19.2%, while test-retest values were between 5.0% and 13.0%. For ¹⁸F]FECT uptake in the caudate-putamen, these values were 13.0% and 10.3%, respectively. Regional values of cMR_glc positively correlated to SUV_glc measured within the 45–60 min time frame (spearman r = 0.71). Next, SPM analysis of 6-OHDA-lesioned mice showed hypometabolism in the bilateral caudate-putamen and cerebellum, and an unilateral striatal decrease in DAT availability.

Conclusion

MRM-based small-animal PET templates facilitate accurate assessment and spatial localization of mouse brain function using VOI or voxel-based analysis. Regional intersubject- and test-retest variations indicate that for these targets accuracy comparable to humans can be achieved.