Benjamin Segun Aribisala1, Andrew M. Blamire1
1Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK
One commonly used image analysis technique is registration of images to a standard space. This has the major benefit that target regions are defined only once in standard space and can then be applied to any dataset. We hypothesize that the re-sampling and spatial smoothing used in the registration processes introduces partial volume effects (PVE) into the data under analysis biasing results. Here we compare this standard approach with an alternative method which transforms standard space target ROIs into real space where quantitative analysis is performed. We show that real space analysis suffers from less PVE than standard space analysis