Computational Anatomy Toolbox (CAT)

This toolbox is an extension to SPM12 (Wellcome Department of Cognitive Neurology) to provide computational anatomy. This covers diverse morphometric methods such as voxel-based morphometry (VBM), surface-based morphometry (SBM), deformation-based morphometry (DBM), and region- or label-based morphometry (RBM).

VBM-Toolboxes (outdated)

The VBM toolboxes are a collection of extensions to the segmentation algorithm of SPM2, SPM5, and SPM8 (Wellcome Department of Cognitive Neurology) to provide voxel-based morphometry (VBM). The toolboxes are named according to the SPM version. The software was developed by Christian Gaser (University of Jena, Department of Psychiatry) and is available to the scientific community under the terms of the GNU General Public License.

Template-O-Matic Toolbox

The TOM toolbox takes a radically new approach towards providing reference data, based on imaging data from the NIH study of normal brain development. Using the general linear model, we statistically isolate the influence of external variables of interest on brain structure, allowing us to generate high-quality matched templates for any given group of subjects.

Lesion Segmentation Toolbox

The toolbox “LST: Lesion Segmentation Tool” is an open source toolbox for the segmentation of lesions in Multiple Sclerosis (MS) for SPM.
It is able to detect T2 hyperintense lesions based on a T1 and a FLAIR image.
Beside the segmentation a utility function for filling lesions in T1 images is implemented.