Combined volumetric and surface-based (CVS) registration method combines  surface-based (2D) registration and volumetric (3D) registration methods, taking advantage of the strengths of each method. Specifically, using 2D registration for aligning cortical folds, and using 3D registration for aligning the entire brain (including sub-cortical areas). (more info) (PDF)


Longitudinal Image Processing:

Longitudinal image processing procedures transfer or pool information across time within subject, with the dual goals of reducing the variability and increasing the accuracy of the derived measures. Our tools are designed to be unbiased with respect to any of the time points and significantly increase statistical power compared to independent image processing. This is achieved by initializing each time point with common information from a within-subject temporal template. (more info) (PDF)


TRActs Constrained by UnderLying Anatomy (TRACULA) is a tool for automated reconstruction of a set of major cerebral white-matter pathways from diffusion-weighted MR images (DW-MRIs). TRACULA is based on a probabilistic framework for global tractography, which models the likelihood of each pathway given the DW-MRIs, as well as the prior probability of the pathway given its surrounding anatomy. The prior information used by TRACULA comes from a set of training subjects with manually labeled pathways, and consists of the probability that a pathway will traverse or neighbor each of a set of anatomical labels, at every point along the trajectory of the pathway. The anatomical labels come from the cortical parcellation and subcortical segmentation of the T1-weighted scans of the same individual, produced by FreeSurfer. The TRACULA processing stream performs standard pre-processing of the DW-MRIs, followed by the probabilistic tractography described above. It then computes measures of anisotropy and diffusivity for each pathway. For each of these measures, TRACULA computes its mean value over the entire pathway, and at different positions along the trajectory of the pathway.   (more info)