This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It
is implemented for both 2D and 3D image registration and has been formulated to include …

This paper concerns the spatial and intensity transformations that map one image onto
another. We present a general technique that facilitates nonlinear spatial (stereotactic) …

At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the
local concentration of gray matter between two groups of subjects. The procedure is relatively …

All fields of neuroscience that employ brain imaging need to communicate their results with
reference to anatomical regions. In particular, comparative morphometry and group analysis …

Structural MRIs of the brains of humans with extensive navigation experience, licensed
London taxi drivers, were analyzed and compared with those of control subjects who did not …

In an age where the amount of data collected from brain imaging is increasing constantly, it
is of critical importance to analyse those data within an accepted framework to ensure proper …

A probabilistic framework is presented that enables image registration, tissue classification,
and bias correction to be combined within the same generative model. A derivation of a log-…

Voxel-based-morphometry (VBM) is a whole-brain, unbiased technique for characterizing
regional cerebral volume and tissue concentration differences in structural magnetic …

We describe a comprehensive framework for performing rapid and automatic nonlabel‐based
nonlinear spatial normalizations. The approach adopted minimizes the residual squared …

Diffusion tensor imaging is often performed by acquiring a series of diffusion-weighted spin-echo
echo-planar images with different direction diffusion gradients. A problem of echo-…