Abstract #0352
'Dynamic' seeding: Informed placement of streamline seeds in whole-brain fibre-tracking
Robert Elton Smith 1 , J-Donald Tournier 2,3 , Fernando Calamante 1,4 , and Alan Connelly 1,4
1
Imaging division, The Florey Institute of
Neuroscience and Mental Health, Heidelberg, Victoria,
Australia,
2
Centre
for the Developing Brain, King's College London, London,
United Kingdom,
3
Department
of Biomedical Engineering, King's College London,
London, United Kingdom,
4
Department
of Medicine, The University of Melbourne, Heidelberg,
Victoria, Australia
When performing whole-brain fibre-tracking using
streamlines tractography, streamline seeding is
typically done in an uninformed, homogeneous fashion.
Here we demonstrate a novel feedback mechanism, that
uses the comparison between the estimated fibre
densities (provided by the diffusion model) and
reconstructed streamlines density to influence the
placement of subsequent streamline seeds. This ensures
that a greater number of streamlines are seeded in
regions of the image that are otherwise poorly
reconstructed, and improves the correspondence between
the streamlines reconstruction and the underlying image
data.
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