@inproceedings{eef156b0c5b84c188b23a051a22c28e9,
title = "Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior",
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 = "Alzheimer's disease, atrophy rate, expectation maximization classifier, segmentation",
author = "Jyrki L{\"o}tj{\"o}nen and Robin Wolz and Juha Koikkalainen and Valeria Manna and Christian Ledig and Lennart Thurfjell and Roger Lundqvist and Gunhild Waldemar and Hilkka Soininen and Daniel Rueckert",
year = "2012",
doi = "10.1109/ISBI.2012.6235767",
language = "English",
isbn = "9781457718588",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1164--1167",
booktitle = "2012 9th IEEE International Symposium on Biomedical Imaging",
note = "9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 ; Conference date: 02-05-2012 Through 05-05-2012",
}