Title
Mapping Hippocampal Degeneration In 400 Subjects With A Novel Automated Segmentation Approach
Abstract
We automatically segmented the hippocampus in 400 brain MRI scans from the Alzheimer's Disease (AD) Neuroimaging Initiative, combining AdaBoost with a novel model, the Auto Context Model (ACM). Trained on 21 hand-labeled segmentations, ACM created binary hippocampus maps in 100 controls, 200 with mild cognitive impairment (MCI), and 100 AD subjects, (age: 75.8+/-6.6SD). A radial atrophy mapping technique computed average parametric surface models and local statistics of atrophy. We visualized correlations between regional atrophy and diagnosis (MCI v. controls: p = 0.008; MCI v. AD: p = 0.001), mini-mental state exam scores, and clinical dementia rating scores (CDR; all p < 0.0001, corrected). Based on false discovery rate curves in gradually reduced samples, 40 subjects were sufficient to correlate atrophy and CDR scores; MCI and AD were distinguishable with N = 304.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541001
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4
Keywords
Field
DocType
AdaBoost, Alzheimer's Disease, hippocampal segmentation, magnetic resonance imaging
Nuclear medicine,Computer science,Artificial intelligence,Neuroimaging,Hippocampal formation,Pathology,Clinical Dementia Rating,False discovery rate,Pattern recognition,Alzheimer's Disease Neuroimaging Initiative,Atrophy,Hippocampus,Magnetic resonance imaging
Conference
ISSN
Citations 
PageRank 
1945-7928
4
0.51
References 
Authors
4
13
Name
Order
Citations
PageRank
Jonathan H. Morra122413.23
Zhuowen Tu23663215.79
Liana G. Apostolova31128.24
Amity E. Green41709.13
Christina Avedissian516910.30
Sarah Madsen613113.50
Neelroop Parikshak717610.91
Xue Hua836125.75
Arthur W. Toga93128261.46
Clifford R Jack1076959.51
Norbert Schuff1137426.44
Michael Weiner12222.99
Paul Thompson133860321.32