Evaluation of five diffeomorphic image registration algorithms for mouse brain magnetic resonance microscopy

In this study, we specially tuned five diffeomorphic image registration algorithms [DARTEL, geodesic shooting, diffeo‐demons, SyN (Greedy‐SyN and geodesic‐SyN)] for mouse brain MRMs and evaluated their performance using three measures [volume overlap percentage (VOP), residual intensity error (RIE) and surface concordance ratio (SCR)]. Geodesic‐SyN performed significantly better than the other methods according to all three different measures. These findings are important for the studies on structural brain changes that may occur in wild‐type and transgenic mouse brains. Lay description Nowadays, the animal models, especially the mice models, with transgenic or gene mutation are widely used in neuroscience researches in neuropathology or neuropharmacology. With the development of high‐resolution magnetic resource microcopy (MRM), researchers are able to study the interior of brain structures noninvasively. Image registration is one essential technology for image analysis, which transforms the images between source space and target space. In past two decades, various registration algorithms have been introduced for human brain MRI, but mouse brain registration is still rarely addressed. In this study, we have tuned five diffeomorphic algorithms (DARTEL, geodesic shooting, diffeo‐demons, SyN (Greedy‐SyN and geodesic‐SyN)) for mouse brain MRM and evaluated their performance with three measures [volume overlap percentage (VOP), residual intensity error and surf...
Source: Journal of Microscopy - Category: Laboratory Medicine Authors: Tags: Original Article Source Type: research