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Please use this identifier to cite or link to this item: http://apo.ansto.gov.au/dspace/handle/10238/9005

Title: Characterisation of partial volume effect and region-based correction in small animal positron emission tomography (PET) of the rat brain
Authors: Lehnert, W
Gregoire, MC
Reilhac, A
Meikle, SR
Keywords: Positron computed tomography
Rats
Brain
Images
Simulation
Radioactve tracers
Carbon 11
Issue Date: 1-May-2012
Publisher: Elsevier Inc
Citation: Lehnert, W., Gregoire, M. C., Reilhac, A., & Meikle, S. R. (2012). Characterisation of partial volume effect and region-based correction in small animal positron emission tomography (PET) of the rat brain. NeuroImage, 60(4), 2144-2157. doi:10.1016/j.neuroimage.2012.02.032
Abstract: Accurate quantification of PET imaging data is required for a useful interpretation of the measured radioactive tracer concentrations. The partial volume effect (PVE) describes signal dilution and mixing due to spatial resolution and sampling limitations, which introduces bias in quantitative results. In the present study we investigated the magnitude of PVE for volumes of interest (VOIs) in the rat brain and the effect of positron range. In simulated 11C-raclopride studies we examined the influence of PVE on time activity curves in striatal and cerebellar VOIs and binding potential estimation. The performance of partial volume correction (PVC) was studied using the region-based geometric transfer matrix (GTM) method including the question of whether a spatially variant point spread function (PSF) is necessary for PVC of a rat brain close to the centre of the field of view. Furthermore, we determined the effect of spillover from activity outside the brain. The results confirmed that PVE is significant in rat brain PET and showed that positron range is an important factor that needs to be included in the PSF. There was considerable bias in time activity curves for the simulated 11C-raclopride studies and significant underestimation of binding potential even for very small centred VOIs. Good activity recovery was achieved with the GTM PVC using a spatially invariant simulated PSF when no activity was present outside the brain. PVC using a simple Gaussian fit point spread function was not sufficiently accurate. Spillover from regions outside the brain had a significant impact on measured activity concentrations and reduced the accuracy of PVC with the GTM method using rat brain regions alone, except for the smallest VOI size but at the cost of increased noise. Voxel-based partial volume correction methods which inherently compensate for spillover from outside the brain might be a more suitable choice. © 2012 Elsevier Inc.
URI: https://doi.org/10.1016/j.neuroimage.2012.02.032
http://apo.ansto.gov.au/dspace/handle/10238/9005
ISSN: 1053-8119
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