Hippocampal volumetry derived from structural MRI is increasingly used to delineate regions
of interest for functional measurements, assess efficacy in therapeutic trials of Alzheimer's …

Background: Multi-atlas segmentation, a popular technique implemented in the Automated
Segmentation of Hippocampal Subfields (ASHS) software, utilizes multiple expert-labelled …

Introduction Advances in image segmentation of magnetic resonance images (MRI) have
demonstrated that multi-atlas approaches improve segmentation over regular atlas-based …

Background Hippocampal volumetry on magnetic resonance imaging is recognized as an
Alzheimer's disease (AD) biomarker, and manual segmentation is the gold standard for …

Volume and change in volume of the hippocampus are both important markers of
Alzheimer's disease (AD). Delineation of the structure on MRI is time-consuming and …

This study assesses the performance of public-domain automated methodologies for MRI-
based segmentation of the hippocampus in elderly subjects with Alzheimer's disease (AD) …

We introduce a new method for brain MRI segmentation, called the auto context model
(ACM), to segment the hippocampus automatically in 3D T1-weighted structural brain MRI …

Background The use of hippocampal volumetry as a biomarker for Alzheimer's disease (AD)
requires that tracers from different laboratories comply with the same segmentation method …

Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary
tangle pathology—and thus are promising biomarkers for Alzheimer's disease (AD) …

The hippocampus is one of the first brain structures affected by Alzheimer's disease (AD).
While many automatic methods for hippocampal segmentation exist, few studies have …