Title
Rat brain normalization templates for robust regional analysis of [<tex>$^{11}C$</tex>]ABP688 positron emission tomography/computed tomography Rat brain normalization templates for robust regional analysis of [<tex>$^{11}C$</tex>]ABP688 positron emission tomography/computed tomography
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Subject
Chemistry
Biology
Human medicine
Computer. Automation
Source (journal)
Molecular imaging
Volume/pages
14(2015) , 14 p.
ISSN
1535-3508
ISI
000351643500009
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
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 testretest study under normal conditions and are used to assess the different templates by using them in the analysis pipeline of a testretest 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.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/9f35bc/1d28f52d.pdf
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