Prediction of dementia by hippocampal shape analysis

Hakim C. Achterberg, Fedde van der Lijn, Tom den Heijer, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen, Marleen de Bruijne

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

7 Citationer (Scopus)

Abstract

This work investigates the possibility of predicting future onset of dementia in subjects who are cognitively normal, using hippocampal shape and volume information extracted from MRI scans. A group of 47 subjects who were non-demented normal at the time of the MRI acquisition, but were diagnosed with dementia during a 9 year follow-up period, was selected from a large population based cohort study. 47 Age and gender matched subjects who stayed cognitively intact were selected from the same cohort study as a control group. The hippocampi were automatically segmented and all segmentations were inspected and, if necessary, manually corrected by a trained observer. From this data a statistical model of hippocampal shape was constructed, using an entropy-based particle system. This shape model provided the input for a Support Vector Machine classifier to predict dementia. Cross validation experiments showed that shape information can predict future onset of dementia in this dataset with an accuracy of 70%. By incorporating both shape and volume information into the classifier, the accuracy increased to 74%.
OriginalsprogEngelsk
TitelMachine Learning in Medical Imaging : First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings
RedaktørerFei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen
Antal sider8
ForlagSpringer
Publikationsdato2010
Sider42-49
ISBN (Trykt)978-3-642-15947-3
ISBN (Elektronisk)978-3-642-15948-0
DOI
StatusUdgivet - 2010
Begivenhed1st International Workshop on Machine Learning in Medical Imaging - Beijing, Kina
Varighed: 20 sep. 201020 sep. 2010
Konferencens nummer: 1

Konference

Konference1st International Workshop on Machine Learning in Medical Imaging
Nummer1
Land/OmrådeKina
ByBeijing
Periode20/09/201020/09/2010
NavnLecture notes in computer science
Vol/bind6357
ISSN0302-9743

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