Abstract As Norman Geschwind asserted in 1965, syndromes resulting from white matter
lesions could produce deficits in higher-order functions and “disconnexion” or the …

We have developed a method for automated probabilistic reconstruction of a set of major
white-matter pathways from diffusion-weighted MR images. Our method is called TRACULA …

An emerging field of human brain imaging deals with the characterization of the
connectome, a comprehensive global description of structural and functional connectivity …

One of the primary goals of computational anatomy is the statistical analysis of anatomical
variability in large populations of images. The study of anatomical shape is inherently …

The arcuate fasciculus is a white matter fiber bundle of great importance in language. In this
study, diffusion tensor imaging (DTI) was used to infer white matter integrity in the arcuate …

Diffusion tensor imaging (DTI) provides a unique source of information about the underlying
tissue structure of brain white matter in vivo including both the geometry of major fiber …

Diffusion-weighted images of the human brain are acquired more and more routinely in
clinical research settings, yet segmenting and labeling white matter tracts in these images is …

Standard particle filtering technique have previously been applied to the problem of fiber
tracking by Brun et al.[Brun, A., Bjornemo, M., Kikinis, R., Westin, CF, 2002. White matter …

Brain tractography techniques utilize a set of diffusion-weighted magnetic resonance images
to reconstruct white matter tracts, non-invasively and in-vivo. Streamline tracking techniques …

Probability mapping of connectivity is a powerful tool to determine the fibre structure of white
matter in the brain. Probability maps are related to the degree of connectivity to a chosen …