UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis

Haroon, HA; Morris, DM; Embleton, KV; Alexander, DC; Parker, GJM; (2009) Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis. IEEE T MED IMAGING , 28 (4) 535 - 550. 10.1109/TMI.2008.2006528.

Full text not available from this repository.

Abstract

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 which use a single dataset. Previously, the wild bootstrap method has been presented as an alternative to conventional bootstrapping for diffusion tensor imaging. Here we present a study of an implementation of model-based residual bootstrapping using q-ball analysis and compare the outputs with conventional bootstrapping. We show that model-based residual bootstrap q-ball generates results that closely match the output of the conventional bootstrap. Both the residual and conventional bootstrap of multi-fiber methods can be used to estimate the probability of different numbers of fiber populations existing in different brain tissues. Also, we have shown that these methods can be used to provide input for probabilistic tractography, avoiding existing limitations associated with data calibration and model selection.

Type:Article
Title:Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis
DOI:10.1109/TMI.2008.2006528
Keywords:Bootstrap, high-angular resolution diffusion imaging, magnetic resonance imaging (MRI), Q-ball, white matter fiber tractography, DIFFUSION MRI, BRAIN IMAGES, TRACTOGRAPHY, ROBUST, RECONSTRUCTION, OPTIMIZATION, REGISTRATION
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

Archive Staff Only: edit this record