DocumentCode :
2571931
Title :
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior
Author :
Lötjönen, Jyrki ; Wolz, Robin ; Koikkalainen, Juha ; Manna, Valeria ; Ledig, Christian ; Thurfjell, Lennart ; Lundqvist, Roger ; Waldemar, Gunhild ; Soininen, Hilkka ; Rueckert, Daniel
Author_Institution :
Knowledge Intensive Services, VTT Tech. Res. Centre of Finland, Tampere, Finland
fYear :
2012
fDate :
2-5 May 2012
Firstpage :
1164
Lastpage :
1167
Abstract :
Hippocampal atrophy is a well-known characteristic associated with Alzheimer´s disease. In this work, we propose a 4D Expectation Maximization framework for measuring the atrophy rate of the hippocampus from serial magnetic resonance images. One novelty of the framework is a disease-specific prior that regularizes the segmentation near the borders of the hippocampus. Regions where the hippocampus tends to get larger in the follow-up images than in the baseline are penalized. Using the ADNI cohort, we obtained classification accuracies of 83% for healthy control and Alzheimer´s disease patient groups and 60% for stable and progressive MCI groups using the baseline and 12-month follow-up images.
Keywords :
biomedical MRI; brain; diseases; expectation-maximisation algorithm; image classification; image segmentation; medical image processing; ADNI cohort; Alzheimers disease; disease-specific prior; expectation maximization classifier; hippocampal atrophy rate; image classification; image segmentation; magnetic resonance images; time 12 month; Alzheimer´s disease; Atrophy; Educational institutions; Hippocampus; Image segmentation; Magnetic resonance imaging; Probabilistic logic; Alzheimer´s disease; atrophy rate; expectation maximization classifier; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
ISSN :
1945-7928
Print_ISBN :
978-1-4577-1857-1
Type :
conf
DOI :
10.1109/ISBI.2012.6235767
Filename :
6235767
Link To Document :
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