quickbundles, a method for tractography simplification
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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.
| Reference Key |
egaryfallidis2012frontiersquickbundles,
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|---|---|
| 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
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| URL | |
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