Most existing algorithms for automatic 3D morphometry of human brain MRI scans are
designed for data with near-isotropic voxels at approximately 1 mm resolution, and …

As shown in the literature, methods based on multiple templates usually achieve better
performance, compared with those using only a single template for processing medical …

Abstract Machine learning algorithms and multivariate data analysis methods have been
widely utilized in the field of Alzheimer's disease (AD) research in recent years. Advances in …

MRI is increasingly used to study normal and abnormal brain development, but we lack a
clear understanding of “normal”. Previous studies have been limited by small samples …

The corpus callosum changes structurally throughout life, but most dramatically during
childhood and adolescence. Even so, existing studies of callosal development tend to use …

We report new random field theory P values for peaks of canonical correlation SPMs for
detecting multiple contrasts in a linear model for multivariate image data. This completes …

In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) to
create 3D maps of structural atrophy in 676 subjects with Alzheimer's disease (AD), mild …

▪ Abstract This paper reviews literature, current concepts and approaches in computational
anatomy (CA). The model of CA is a Grenander deformable template, an orbit generated …

A growing number of structural neuroimaging studies have reported significant changes in
gray matter density or volume and white matter microstructure in the adult human brain …

Bimanual coordination skills are required for countless everyday activities, such as typing,
preparing food, and driving. The corpus callosum (CC) is the major collection of white matter …