quickbundles, a method for tractography simplification

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ID: 206300
2012
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Abstract
Diffusion MR data sets produce large numbers of streamlines whichare hard to visualize, interact with, and interpret in a clinicallyacceptable time scale, despite numerous proposed approaches. As asolution we present a simple, compact, tailor-made clustering algorithm,QuickBundles (QB), that overcomes the complexity of these large datasets and provides informative clusters in seconds. Each QB cluster canbe represented by a single centroid streamline; collectively thesecentroid streamlines can be taken as an effective representation of thetractography. We provide a number of tests to show how the QB reductionhas good consistency and robustness. We show how the QB reduction canhelp in the search for similarities across several subjects.
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egaryfallidis2012frontiersquickbundles, Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Eleftherios eGaryfallidis;Eleftherios eGaryfallidis;Matthew eBrett;Marta Morgado Correia;Guy B. Williams;Ian eNimmo-Smith
Journal Journal of enzyme inhibition and medicinal chemistry
Year 2012
DOI
10.3389/fnins.2012.00175
URL
http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00175/full
Keywords
diffusion mri dimensionality reduction tractography neuropsychiatry biological psychiatry

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