Although a wide range of approaches have been developed to automatically assess the
volume of brain regions from MRI, the reproducibility of these algorithms across different …

We compare three widely used brain volumetry methods available in the software packages
FSL, SPM5, and FreeSurfer and evaluate their performance using simulated and real MR …

Manual segmentation, which is tedious, time-consuming, and operator-dependent, is
currently used as the gold standard to validate automatic and semiautomatic methods that …

The ability to study changes in brain morphometry in longitudinal studies majorly depends
on the accuracy and reproducibility of the brain tissue quantification. We evaluate the …

Magnetic resonance (MR) imaging now allows the qualitative and quantitative assessment
of the human brain in vivo. As MR imaging resolution has improved, precise measurement of …

Current semiautomated magnetic resonance (MR)-based brain segmentation and volume
measurement methods are complex and not sufficiently accurate for certain applications. We …

This paper offers a definition of precise, comprehensive, robust and practical
neuroanatomical segmentation in magnetic resonance brain images with the goal of …

An algorithm was developed that automatically segments the lateral and third ventricles from
T1-weighted 3-D-FFE MR images of the human brain. The algorithm is based upon region …

Purpose This paper describes a novel method to automatically segment the human
brainstem into midbrain and pons, called LABS: Landmark-based Automated Brainstem …

The segmentation of MR images of the neonatal brain is an essential step in the study and
evaluation of infant brain development. State-of-the-art methods for adult brain MRI …