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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