Thomas Glyn Close1,2, Jacques-Donald
Tournier1,3, Fernando Calamante1,3, Leigh A. Johnston2,4,
Iven Mareels2, Alan Connelly1,3
1Brain Research Institute, Florey
Neuroscience Institutes (Austin), Melbourne, Victoria, Australia; 2School
of Engineering and NICTA VRL, University of Melbourne, Melbourne, Victoria,
Australia; 3Department of Medicine, University of Melbourne,
Melbourne, Victoria, Australia; 4Howard Florey Insitute, Florey
Neuroscience Institutes (Parkville), Melbourne, Victoria, Australia
We
present a new method for characterising white matter fibre configurations
within local neighbourhoods. Instead of single-voxel based models of fibre
orientations represent the complete tract configuration within a local
neighbourhood (eg. 3x3x3 voxels) via a rich tract-segment model. By fitting
multiple tracts simultaneously, this approach utilizes the probability of
surrounding tracts to improve the fit of each tract.