TY - GEN
T1 - Understanding heterogeneity in normal older adult populations via clustering of longitudinal data
AU - Filipovych, Roman
AU - Resnick, Susan M.
AU - Davatzikos, Christos
PY - 2011
Y1 - 2011
N2 - Populations of healthy older individuals are often highly heterogeneous, as prevalence of various underlying pathologies increases with age. Finding coherent groups of normal older adults may allow to identify subpopulations that are at risk of developing Alzheimer's disease (AD). In this paper, we propose an approach that utilizes longitudinal magnetic resonance imaging (MRI) data to obtain natural groupings of older adult subjects via an unsupervised (i.e., clustering) technique. We develop a k-medoids-like clustering algorithm that simultaneously finds clusters of longitudinal images, as well as weights brain regions in such a way that the obtained clusters are maximally coherent. We propose a cluster-based measure that reflects the individual subject's cognitive decline. The proposed method is unsupervised and is suitable for analyzing AD at its very early stages.
AB - Populations of healthy older individuals are often highly heterogeneous, as prevalence of various underlying pathologies increases with age. Finding coherent groups of normal older adults may allow to identify subpopulations that are at risk of developing Alzheimer's disease (AD). In this paper, we propose an approach that utilizes longitudinal magnetic resonance imaging (MRI) data to obtain natural groupings of older adult subjects via an unsupervised (i.e., clustering) technique. We develop a k-medoids-like clustering algorithm that simultaneously finds clusters of longitudinal images, as well as weights brain regions in such a way that the obtained clusters are maximally coherent. We propose a cluster-based measure that reflects the individual subject's cognitive decline. The proposed method is unsupervised and is suitable for analyzing AD at its very early stages.
KW - Alzheimer's
KW - Cluster Analysis
KW - Longitudinal Image Analysis
KW - MRI
KW - Mild Cognitive Impairment
UR - http://www.scopus.com/inward/record.url?scp=80055041801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055041801&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872593
DO - 10.1109/ISBI.2011.5872593
M3 - Conference contribution
C2 - 22837176
AN - SCOPUS:80055041801
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1101
EP - 1104
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -