Meeting Banner
Abstract #2647

Thalamic segmentation and validation with diffusion-weighted MRI

Francesca Pizzorni-Ferrarese 1 and Franco Pestilli 2

1 Department of Psychology, The Royal Holloway, University of London, Egham, Surrey, United Kingdom, 2 Psychology, 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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here