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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