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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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