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Abstract #0958

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

1 Medicine, Surgery and Neurosciences, University of Siena, Siena, Tuscany, Italy, 2 Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, Oxford, United Kingdom, 3 Neuroimaging Research Unit, Vita-Salute S.Raffaele University, Milano, Italy, 4 Clinical 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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