Tensor-based morphometry can recover three-dimensional longitudinal brain changes over
time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here …

Tensor-based morphometry (TBM) is a powerful method to map the 3D profile of brain
degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). We …

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 …

Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related
differences in brain structure, based on nonlinearly registering brain MRI scans to a common …

A key question in designing MRI‐based clinical trials is how the main magnetic field strength
of the scanner affects the power to detect disease effects. In 110 subjects scanned …

Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD)
progression in therapeutic trials, including measures of structural brain change based on …

Measures of brain change can be computed from sequential MRI scans, providing valuable
information on disease progression, eg, for patient monitoring and drug trials. Tensor-based …

A series of reports have recently appeared using tensor based morphometry statistically-
defined regions of interest, Stat-ROIs, to quantify longitudinal atrophy in structural MRIs from …

Noninvasive MRI biomarkers for Alzheimer's disease (AD) may enable earlier clinical
diagnosis and the monitoring of therapeutic effectiveness. To assess potential neuroimaging …

Neuroimaging centers and pharmaceutical companies are working together to evaluate
treatments that might slow the progression of Alzheimer's disease (AD), a common but …