Thalamic segmentation and validation with diffusion-weighted MRI
Francesca Pizzorni-Ferrarese 1 and Franco Pestilli 2
Department of Psychology, The Royal
Holloway, University of London, Egham, Surrey, United
Stanford University, Stanford, CA, United States
We propose a method to segments the human thalamus
automatically using diffusion MR signal and to validate
the accuracy of a alternative thalamic segmentations in
individual brains. The method treats the clusters in the
segmentation as models of the white matter tissue.
Thalamic nuclei are assumed to have homogeneous tissue
properties. Under this assumption the mean diffusion
signal within each nucleus is used as prediction of the
segmentation model. We use the model to validate a
family of candidate thalamic segmentations by looking at
how the reliability of the model prediction compares to
the reliability of the measured diffusion data.
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