Journal
NEUROIMAGE
Volume 56, Issue 4, Pages 2024-2037Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2011.03.014
Keywords
Image segmentation; Brain pathology; Brain atlas; Magnetic resonance imaging; Alzheimer's disease; Mild cognitive impairment
Funding
- National Institutes of Health
- Abbott
- AstraZeneca AB
- Bayer Schering Pharma AG
- Bristol-Myers Squibb
- Eisai Global Clinical Development
- Elan Corporation
- Genentech
- GE Healthcare
- GlaxoSmithKline
- Innogenetics
- Johnson Johnson
- Eli Lilly and Co.
- Merck Co., Inc.
- Novartis AG
- Pfizer Inc.
- F. Hoffmann-La Roche
- Schering-Plough
- Synarc Inc.
- Wyeth
- Alzheimer's Association
- Institute for the Study of Aging
- Dunhill Medical Trust, UK
- MRC [G108/585, MC_U120061309] Funding Source: UKRI
- Medical Research Council [G108/585, MC_U120061309] Funding Source: researchfish
Ask authors/readers for more resources
This paper presents a novel, publicly available repository of anatomically segmented brain images of healthy subjects as well as patients with mild cognitive impairment and Alzheimer's disease. The underlying magnetic resonance images have been obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. T1-weighted screening and baseline images (1.5 T and 3 T) have been processed with the multi-atlas based MAPER procedure, resulting in labels for 83 regions covering the whole brain in 816 subjects. Selected segmentations were subjected to visual assessment. The segmentations are self-consistent, as evidenced by strong agreement between segmentations of paired images acquired at different field strengths (Jaccard coefficient: 0.802 +/- 0.0146). Morphometric comparisons between diagnostic groups (normal; stable mild cognitive impairment; mild cognitive impairment with progression to Alzheimer's disease; Alzheimer's disease) showed highly significant group differences for individual regions, the majority of which were located in the temporal lobe. Additionally, significant effects were seen in the parietal lobe. Increased left/right asymmetry was found in posterior cortical regions. An automatically derived white-matter hypointensities index was found to be a suitable means of quantifying white-matter disease. This repository of segmentations is a potentially valuable resource to researchers working with ADNI data. (C) 2011 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available