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

@article{Haroon2009UsingTM,
  title={Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From  \$Q\$-Ball Analysis},
  author={Hamied A. Haroon and David M. Morris and Karl V. Embleton and Daniel C. Alexander and Geoffrey J. M. Parker},
  journal={IEEE Transactions on Medical Imaging},
  year={2009},
  volume={28},
  pages={535-550}
}
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… CONTINUE READING

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