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Abstract #3750

Automatic Computation of Normalized Brain Volume on 3D T1-Weighted MRI Scans Without Registration to Standard Space

Elizabeth Wicks 1 , Jason P.C. Chiu 1 , Lisa Y.W. Tang 1,2 , Kevin Lam 1 , Andrew Riddehough 1 , David K.B. Li 1,2 , Anthony Traboulsee 1 , and Roger Tam 1,2

1 MS/MRI Research Group, Division of Neurology, University of British Columbia, Vancouver, BC, Canada, 2 Dept. of Radiology, University of British Columbia, BC, Canada

Established methods of brain volume normalization on T1-weighted images typically require affine registration to a standard template, which can introduce a significant amount of measurement noise. We have developed a fully-automated method to compute a normalized brain volume from T1w images by directly estimating intradural volume. This method correlated highly (r = 0.845) with an established method on T2w/PDw images, when applied to a completed multiple sclerosis clinical trial dataset of 131 patients, which included both T1w and T2w/PDw sequences of each patient.

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