Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From [Formula Omitted]-Ball Analysis

Bootstrapping of repeated diffusion-weighted image datasets enables nonparametric quantification of the uncertainty in the inferred fiber orientation. The wild bootstrap and the residual bootstrap are model-based residual resampling methods [abstract truncated by publisher].

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Bibliographic Details
Published inIEEE transactions on medical imaging Vol. 28; no. 4; pp. 535 - 550
Main Authors Haroon, H.A, Morris, D.M, Embleton, K.V, Alexander, D.C, Parker, G
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.04.2009
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Summary:Bootstrapping of repeated diffusion-weighted image datasets enables nonparametric quantification of the uncertainty in the inferred fiber orientation. The wild bootstrap and the residual bootstrap are model-based residual resampling methods [abstract truncated by publisher].
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ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2008.2006528