A prototype symbolic model of canonical functional neuroanatomy of the motor system: A simplified model of the neural connections and functional consequences in Parkinson’s disease. A: Diagrammatic representation. B: Ontological representation, produced by modifying the model of the normal state, by replacing two normal connections with functionally impaired connections. Read more here

MCMC Curve Sampling for Image Segmentation.: Conditionally-simulated thalamus segmentation using non-parametric intensity distributions. Read more here

Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI: Model selection by AIC on HvMF mixtures: (a) Single tensor estimates in small region on white-matter/CSF boundary; (b) HvMF estimates in same boundary region as in (a). Read more here

A Hierarchical Algorithm for MR Brain Image Parcellation: Comparison of automatic and manual segmentations. The example illustrates the difficulties in segmenting structures with ambiguous boundaries as is evident from the variations among the experts segmentations. Read more here

Displacement of brain regions in preterm infants: 3D models of segmented gyri and sulci in relation to borders of parcellation volumes in preterm infants with dolichocephaly. Read more here

Influence of perinatal risk factors on the developing brain.: In neonates suffering from brain injury, combining segmentation and parcellation of MR scans allows to investigate how specific brain regions are effected. T1 and T2-weighted MR scan are used to achieve segmentation of brain tissues, and the intra-cranial cavity is divided into 16 parcels using Talairach landmarks. Read more here

Statistical models of shape variability: It can be used for improving the performance of segmentation algorithms. The images show the probability distribution for the left thalamus and the neocortical grey matter as a colored overlay with an MR image as anatomical reference. Read more here

Example of fiber tracking: High resolution MRI data post-processed using automated tracking procedure. Voxels within fiber bundles are color coded according to their FA values. Read more here

Using Log Odds for shape description: The first row shows a sample slice of the quadratic spline interpolation of a schizophrenia study with multiple volume acquisitions per subject over time. Each image represents a space conditioned probability (SCP) of the gray matter of the brain at a specific point in time. Bright indicates high and dark low probability of the presence of gray matter at that location. The second row shows the SCP of the thalamus. Read more here