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Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach

Jones, Derek K. and Pierpaoli, Carlo 2005. Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magnetic Resonance in Medicine 53 (5) , pp. 1143-1149. 10.1002/mrm.20466

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Abstract

The bootstrap technique is an extremely powerful nonparametric statistical procedure for determining the uncertainty in a given statistic. However, its use in diffusion tensor MRI tractography remains virtually unexplored. This work shows how the bootstrap can be used to assign confidence to results obtained with deterministic tracking algorithms. By invoking the concept of a “tract-propagator,” it also underlines the important effect of local fiber architecture or architectural milieu on tracking reproducibility. Finally, the practical advantages and limitations of the technique are discussed. Not only does the bootstrap allow any deterministic tractography algorithm to be used in a probabilistic fashion, but also its model-free inclusion of all sources of variability (including those that cannot be modeled) means that it provides the most realistic approach to probabilistic tractography.

Item Type: Article
Status: Published
Schools: Psychology
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Uncontrolled Keywords: DT-MRI; tractography; deterministic; probabilistic; bootstrap
Publisher: Wiley
ISSN: 0740-3194
Last Modified: 04 Jun 2017 04:07
URI: http://orca.cf.ac.uk/id/eprint/33017

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