Robert
Elton Smith1, 2, Jacques-Donald Tournier1,
2, Fernando Calamante1, 2, Alan Connelly1,
2
1Brain Research Institute, Florey Neuroscience Institutes, Heidelberg, Victoria, Australia; 2Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
When performing whole-brain fibre-tracking using Diffusion-Weighted Imaging, certain pathways in the brain can be over- or under-estimated, due to the independence of individual streamlines, and any methodological biases of the models or algorithms used. To improve the biological accuracy of connectome reconstruction, we propose a normalisation process for whole-brain fibre-tracking data, which uses the results from spherical deconvolution to selectively filter tracks from the data set, matching the track densities in high angular resolution space to the estimated intra-cellular volume fractions.
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