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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer?s Disease
Salt Lake City, Utah
June 22-June 23
ISBN: 0-7695-2517-1
ASCII Text
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Klaus Fritzsche, Aldo von Wangenheim, Rudiger Dillmann, Roland Unterhinninghofen, "Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer?s Disease," Computer-Based Medical Systems, IEEE Symposium on, pp. 191-196, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.
 
 
BibTex
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@article{ 10.1109/CBMS.2006.52,
author = {Klaus Fritzsche and Aldo von Wangenheim and Rudiger Dillmann and Roland Unterhinninghofen},
title = {Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer?s Disease},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2006},
issn = {1063-7125},
pages = {191-196},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.52},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer?s Disease
SN - 1063-7125
SP191
EP196
A1 - Klaus Fritzsche,
A1 - Aldo von Wangenheim,
A1 - Rudiger Dillmann,
A1 - Roland Unterhinninghofen,
PY - 2006
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Klaus Fritzsche, Universidade Federal de Santa Catarina, Brazil
Aldo von Wangenheim, Universidade Federal de Santa Catarina, Brazil
Rudiger Dillmann, Universitat Karlsruhe (TH), Germany
Roland Unterhinninghofen, Universitat Karlsruhe (TH), Germany
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 othermore time-consuming and semi-automaticmethodologies. It could abet an AD diagnosis and provide a tool for measuring the success of therapies.

Citation:
Klaus Fritzsche, Aldo von Wangenheim, Rudiger Dillmann, Roland Unterhinninghofen, "Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer?s Disease," cbms, pp.191-196, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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