Quick Bundles, a method for tractography simplification

Eleftherios Garyfallidis

doi:10.3389/fnins.2012.00175

Quick Bundles, a method for tractography simplification

2012-01-01

226

OA

AI

E

Eleftherios Garyfallidis *

DOI：10.3389/fnins.2012.00175

原文链接

查看原文

摘要

En 中文

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.

Keyword:

tractography

diffusion MRI

fiber clustering

white matter segmentation

dimensionality reduction

clustering algorithms

DTI

Quick Bundles, a method for tractography simplification

摘要

AI总结

期刊

机构

引用论文