Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

Jyrki Lötjönen; Robin Wolz; Juha Koikkalainen; Valeria Manna; Christian Ledig; Lennart Thurfjell; Roger Lundqvist; Gunhild Waldemar; Hilkka Soininen; Daniel Rueckert

doi:10.1109/ISBI.2012.6235767

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	IEEE International Symposium on Biomedical Imaging, ISBI 2012
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1164-1167
ISBN (Electronic)	978-1-4577-1858-8
ISBN (Print)	978-1-4577-1857-1
DOIs	https://doi.org/10.1109/ISBI.2012.6235767
Publication status	Published - 2012
MoE publication type	A4 Article in a conference publication
Event	9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain Duration: 2 May 2012 → 5 May 2012 Conference number: 9

Conference

Conference	9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Abbreviated title	ISBI 2012
Country/Territory	Spain
City	Barcelona
Period	2/05/12 → 5/05/12

Keywords

Alzheimer's disease
atrophy rate
expectation maximization classifier
segmentation

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10.1109/ISBI.2012.6235767

Cite this

Lötjönen, J., Wolz, R., Koikkalainen, J., Manna, V., Ledig, C., Thurfjell, L., Lundqvist, R., Waldemar, G., Soininen, H., & Rueckert, D. (2012). Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. In Proceedings: IEEE International Symposium on Biomedical Imaging, ISBI 2012 (pp. 1164-1167). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISBI.2012.6235767

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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",

note = "Project code: 18493 Project code: 71992; 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, ISBI 2012 ; Conference date: 02-05-2012 Through 05-05-2012",

year = "2012",

doi = "10.1109/ISBI.2012.6235767",

language = "English",

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Lötjönen, J, Wolz, R, Koikkalainen, J, Manna, V, Ledig, C, Thurfjell, L, Lundqvist, R, Waldemar, G, Soininen, H & Rueckert, D 2012, Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. in Proceedings: IEEE International Symposium on Biomedical Imaging, ISBI 2012. IEEE Institute of Electrical and Electronic Engineers, pp. 1164-1167, 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, Barcelona, Spain, 2/05/12. https://doi.org/10.1109/ISBI.2012.6235767

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. / Lötjönen, Jyrki; Wolz, Robin; Koikkalainen, Juha et al.

Proceedings: IEEE International Symposium on Biomedical Imaging, ISBI 2012. IEEE Institute of Electrical and Electronic Engineers, 2012. p. 1164-1167.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

AU - Lötjönen, Jyrki

AU - Wolz, Robin

AU - Koikkalainen, Juha

AU - Manna, Valeria

AU - Ledig, Christian

AU - Thurfjell, Lennart

AU - Lundqvist, Roger

AU - Waldemar, Gunhild

AU - Soininen, Hilkka

AU - Rueckert, Daniel

N1 - Conference code: 9

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N2 - 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.

AB - 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.

KW - Alzheimer's disease

KW - atrophy rate

KW - expectation maximization classifier

KW - segmentation

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DO - 10.1109/ISBI.2012.6235767

M3 - Conference article in proceedings

SN - 978-1-4577-1857-1

SP - 1164

EP - 1167

BT - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012

Y2 - 2 May 2012 through 5 May 2012

ER -

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

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Keywords

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