NDLI: Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimers Disease

Content Provider	IEEE Xplore Digital Library
Author	Fritzsche, K. von Wangenheim, A. Dillmann, R. Unterhinninghofen, R.
Copyright Year	2006
Description	Author affiliation: Telemedicine Lab, Univ. Fed. de Santa Catarina, Florianopolis (Fritzsche, K.; von Wangenheim, A.)
Abstract	Alzheimer's disease (AD) is a major public health challenge as the median age of the industrialized world's population is increasing gradually. No cure for this disease has yet been found and the development of new treatments has become a topic of major research interest. This paper aims to propose a sequence of fully automated MRI-based image analysis steps to measure the development stage of atrophy in the brain. The results have been validated on a mixed group of 68 subjects by distinguishing between AD patients, MCIs and health controls using linear classifiers and ANNs. The best classifier identified unseen AD patients correctly in 80% of the cases and control subjects in 85%. Recognizing more than 8 out of 10 MCI subjects, the method also yields an early indication of AD. This simple yet powerful analysis can compete with other more time-consuming and semi-automatic methodologies. It could abet an AD diagnosis and provide a tool for measuring the success of therapies
Starting Page	191
Ending Page	196
File Size	1348616
Page Count	6
File Format	PDF
ISBN	0769525171
ISSN	10637125
DOI	10.1109/CBMS.2006.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atrophy Alzheimer's disease Testing Magnetic resonance imaging Automatic control Medical treatment Biomedical imaging Medical diagnostic imaging In vivo Hippocampus
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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