Rat Brain Normalization Templates for Robust Regional Analysis of [ 11 C]ABP688 Positron Emission Tomography/Computed Tomography
Author(s) -
Jeroen Verhaeghe,
Leonie Wyffels,
Tine Wyckhuys,
Sigrid Stroobants,
Steven Staelens
Publication year - 2015
Publication title -
molecular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 60
eISSN - 1536-0121
pISSN - 1535-3508
DOI - 10.2310/7290.2014.00037
Subject(s) - positron emission tomography , template , nuclear medicine , spatial normalization , binding potential , tomography , normalization (sociology) , biomedical engineering , nuclear magnetic resonance , materials science , artificial intelligence , physics , computer science , medicine , voxel , radiology , sociology , anthropology , nanotechnology
A methodology to generate rat brain templates for spatial normalization of positron emission tomographic (PET)/computed tomographic (CT) images is described and applied to generate three different templates for imaging of [11C]ABP688, a PET ligand binding to the metabotropic glutamate 5 receptor. The templates are based on functional (PET), structural (CT), and combined PET and CT information, respectively. The templates are created from a test-retest study under normal conditions and are used to assess the different templates by using them in the analysis pipeline of a test-retest and a blocking experiment. The resulting average nondisplaceable binding potentials (BPND) show significant (analysis of variance, p < .05) and substantial (up to 23%) differences between the different approaches in several brain regions. The highest BPND values in receptor-rich regions are obtained using the PET-based approach. This approach also had the smallest variability in all tested regions (standard error of measurement of 9% versus 14% [PET/CT] and 20% [CT]). All approaches showed similar relative changes in BPND values with increased blocking. Taken together, these results suggest that the use of the tracer-specific PET-based template outperforms the other approaches with the performance of the combined PET/CT template between those of the PET and the tracer-independent CT template.
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