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Abstract #0057

The effect of spatial registration algorithm on detection of white matter abnormalities in multiple sclerosis: a TBSS study.

Giovanni Giulietti 1 , Barbara Spano' 1 , Mara Cercignani 2 , Barbara Basile 1 , Carlo Caltagirone 3,4 , and Marco Bozzali 1

1 Neuroimaging Laboratory, Santa Lucia Foundation, Rome, Italy, 2 Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom, 3 Clinical and Behavioural Neurology, Santa Lucia Foundation, Rome, Italy, 4 Departement of Neuroscience, University of Rome "Tor Vergata", Rome, Italy

In the current study we compared the results obtained repeating twice the same FSL-TBSS analyses on the fractional anisotropy (FA) maps, belonging to patients with relapsing remitting multiple sclerosis and healthy subjects, only changing the spatial normalization algorithms. In particular, we tested the differences in using a cubic B-splines (FNIRT, used as default in FSL) and a diffeomorphic (ANTs) transformations algorithms, in terms of the produced skeleton layout and the results of the statistical group comparison. We found that the TBSS-ANTs analysis was able to reconstruct more WM tracts and to detect FA group differences in more brain regions.

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