Tract Specifics Without the Tears: Fully Automated Tract Segmentation and Quantification
Greg Parker 1 , Mark Postans 1 , and Derek Jones 1
CUBRIC, School of Psychology, Cardiff
University, Cardiff, South Glamorgan, United Kingdom
Tract-wise statistics are widely used within
neuroscience research. Such measures may either be
retrieved on a voxel-wise basis or, alternatively,
through sampling along representative streamlines. We
propose improvements to an existing shape-based
streamline segmentation method to provide fully
automatic segmentation of whole volume tractography
datasets and, as evidence of this functionality, show
that the method can be used to replicate the majority of
findings from a recently published study.
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