KOPS - Das Institutionelle Repositorium der Universität Konstanz

Multiple Discriminant Analysis of SPECT Data for Alzheimer’s Disease, Frontotemporal Dementia and Asymptomatic Controls

Multiple Discriminant Analysis of SPECT Data for Alzheimer’s Disease, Frontotemporal Dementia and Asymptomatic Controls

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:50582fc865621b52f02e88602bab2572

STÜHLER, Elisabeth, Günther PLATSCH, Markus WEIH, Johannes KORNHUBER, Torsten KUWERT, Dorit MERHOF, 2011. Multiple Discriminant Analysis of SPECT Data for Alzheimer’s Disease, Frontotemporal Dementia and Asymptomatic Controls. 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC). Valencia, Spain, 23. Okt 2011 - 29. Okt 2011. In: 2011 IEEE Nuclear Science Symposium Conference Record. 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC). Valencia, Spain, 23. Okt 2011 - 29. Okt 2011. IEEE, pp. 4398-4401. ISBN 978-1-4673-0118-3

@inproceedings{Stuhler2011-10Multi-18292, title={Multiple Discriminant Analysis of SPECT Data for Alzheimer’s Disease, Frontotemporal Dementia and Asymptomatic Controls}, year={2011}, doi={10.1109/NSSMIC.2011.6153848}, isbn={978-1-4673-0118-3}, publisher={IEEE}, booktitle={2011 IEEE Nuclear Science Symposium Conference Record}, pages={4398--4401}, author={Stühler, Elisabeth and Platsch, Günther and Weih, Markus and Kornhuber, Johannes and Kuwert, Torsten and Merhof, Dorit} }

Multiple discriminant analysis (MDA) is a generalization of the Fisher discriminant analysis (FDA) and makes it possible to discriminate more than two classes by projecting the data onto a subspace. In this work, it was applied to technetium- 99methylcysteinatedimer (99mTc-ECD) SPECT datasets of 10 Alzheimer’s disease (AD) patients, 11 frontotemporal dementia (FTD) patients and 11 asymptomatic controls (CTR). Principal component analysis (PCA) was used for dimensionality reduction, followed by projection of the data onto a discrimination plane via MDA. In order to separate the different groups, linear boundaries were calculated by applying FDA to two classes at a time (linear machine). By executing the F-test for different numbers of principal components and examining the corresponding classification accuracy, an optimal discrimination plane based on the first three principal components was determined. In order to further assess the method, another dataset comprising patients with early-onset AD and FTD (beginning or suspected disease) was projected by the same method onto this discrimination plane, resulting in a correct classification for most cases. The successful iscrimination of another dataset on the same plane indicates that the model is well suited to account for<br />disease-specific characteristics within the classes, even for patients with early-onset AD and FTD. Merhof, Dorit 2011-10 2012-06-21T07:57:27Z Kornhuber, Johannes eng Stühler, Elisabeth Kuwert, Torsten Multiple Discriminant Analysis of SPECT Data for Alzheimer’s Disease, Frontotemporal Dementia and Asymptomatic Controls Weih, Markus Platsch, Günther Weih, Markus Platsch, Günther deposit-license 2012-06-21T07:57:27Z Kornhuber, Johannes Stühler, Elisabeth First publ. in: 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference : (NSS/MIC 2011); Valencia, Spain, 23 - 29 October 2011; [and 18th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors; Workshop on Helium-3 Alternatives for Neutron Detection] / Nuclear and Plasma Sciences Society. - IEEE , Piscataway, NJ ; 2011. - S. 4398-4401 Kuwert, Torsten Merhof, Dorit

Dateiabrufe seit 01.10.2014 (Informationen über die Zugriffsstatistik)

Stühler et.al_2011_MDA of SPECT data for AD, FTD and asymptomatic CTR.pdf 124

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto