Tractography Gone Wild : Probabilistic Tracking Using the Wild Bootstrap

@inproceedings{Jones2005TractographyGW,
  title={Tractography Gone Wild : Probabilistic Tracking Using the Wild Bootstrap},
  author={Derek K Jones},
  year={2005}
}
D. K. Jones Centre for Neuroimaging Sciences, Institute of Psychiatry, London, United Kingdom INTRODUCTION: DT-MRI is inherently a noisy technique, leading to uncertainty in estimates of the eigensystem of the diffusion tensor. Many tractography algorithms (particularly streamline approaches, e.g. 3,4) do not account for this uncertainty and thus provide no indication of the confidence one can assign to reconstructed pathways. Probabilistic approaches attempt to assign such a confidence, but… CONTINUE READING

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