title: QuickBundles, a Method for Tractography Simplification.
abstract: Diffusion MR data sets produce large numbers of streamlines which are hard to visualize, interact with, and interpret in a clinically acceptable time scale, despite numerous proposed approaches. As a solution we present a simple, compact, tailor-made clustering algorithm, QuickBundles (QB), that overcomes the complexity of these large data sets and provides informative clusters in seconds. Each QB cluster can be represented by a single centroid streamline; collectively these centroid streamlines can be taken as an effective representation of the tractography. We provide a number of tests to show how the QB reduction has good consistency and robustness. We show how the QB reduction can help in the search for similarities across several subjects.
authors.affiliation: Wolfson College, University of Cambridge Cambridge, UK ; Medical Research Council Cognition and Brain Sciences Unit Cambridge, UK.
authors.forename: Eleftherios
authors.initials: E
authors.lastname: Garyfallidis
authors.forename: Matthew
authors.initials: M
authors.lastname: Brett
authors.forename: Marta Morgado
authors.initials: MM
authors.lastname: Correia
authors.forename: Guy B
authors.initials: GB
authors.lastname: Williams
authors.forename: Ian
authors.initials: I
authors.lastname: Nimmo-Smith