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Abstract #5203

Bootstrapping Fibre Orientation Distributions: Accuracy advantages and other benefits of estimating shape uncertainty

Marina Rakic1, Robert Dallyn2, and Flavio Dell'Acqua2

1Natbrainlab & Centre for Neuroimaging Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 2Natbrainlab, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom

Inherently low signal-to-noise ratio in diffusion-MRI results in high uncertainty in the estimated underlying fibre orientation distributions. True bootstrapping and model- based residual bootstrapping approaches have been proposed to estimate the uncertainty in the estimated peak directions. Here we compare the two methods using simulations and observe that more information can be extracted by looking at the variation in the entire shape of the FOD, as opposed to just the peak direction. Results also suggest that, in this case, residual bootstrapping might not provide a representative estimation of directional uncertainty due to non-negligible model bias.

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