Tract Specifics Without the Tears: Fully Automated Tract Segmentation and Quantification

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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