Abstract #0278
SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography
Robert Elton Smith 1 , J-Donald Tournier 1,2 , Fernando Calamante 1,3 , and Alan Connelly 1,3
1
The Florey Institute of Neuroscience and
Mental Health, Heidelberg, Victoria, Australia,
2
Centre
for the Developing Brain, King's College London, London,
London, United Kingdom,
3
Medicine
(Austin Health / Northern Health), The University of
Melbourne, Heidelberg, Victoria, Australia
Accurate evaluation of brain white matter connectivity
using diffusion MRI tractography requires development of
robust quantitative methods. We propose a successor to
the "Spherical-deconvolution Informed Filtering of
Tractograms (SIFT)" method, entitled SIFT2, which
determines an appropriate weighting factor for every
streamline in a tractogram in a manner that matches the
streamline densities to the underlying fibre volumes as
estimated by spherical deconvolution. The result is a
dense whole-brain streamlines reconstruction where the
sum of streamline weights between two areas is a
proportional estimate of the cross-sectional area of the
axonal pathway connecting those regions; a truly
quantitative measure of white matter connectivity.
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