Improved SIENAX assessment of WM and GM volumes
Marco Battaglini 1 , Mark Jenkinson 2 , Antonio Giorgio 1 , Maria Assunta Rocca 3 , Maria Laura Stromillo 1 , Massimo Filippi 3 , jacqueline Palace 4 , and Nicola De Stefano 1
Medicine, Surgery and Neurosciences,
University of Siena, Siena, Tuscany, Italy,
for Functional Magnetic Resonance Imaging of the Brain (FMRIB),
University of Oxford, Oxford, United Kingdom,
Research Unit, Vita-Salute S.Raffaele University,
Neurology, University of Oxford, Oxford, United Kingdom
This work provides a new SIENAX (SIENAX2.0) pipeline for
the assessment of grey matter (GM) and white matter (WM)
volume changes as measured on MR images of Multiple
Sclerosis patients. Multisite datasets were analyzed and
the results compared with those obtained by the SIENAX
and the SPM8. New inhomogeneity correction and method
for relabeling of potentially mislabeled GM clusters
were introduced in SIENAX2.0 In isotropic high-quality
dataset the new SIENAX2.0 allows robust GM and WM volume
assessment halving the error when compared with SIENAX .
In non-isotropic dataset, SIENAX2.0 significantly
improves the robustness of GM and WM volume assessment.
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