Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts

R. Wolz; R. A. Heckemann; P. Aljabar; J. V. Hajnal; A. Hammers; Jyrki Lötjönen; D. Rueckert

doi:10.1109/ISBI.2010.5490147

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts

R. Wolz, R. A. Heckemann, P. Aljabar, J. V. Hajnal, A. Hammers, Jyrki Lötjönen, D. Rueckert

VTT Technical Research Centre of Finland

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

2 Citations (Scopus)

Abstract

We propose a method for simultaneous segmentation of serially acquired magnetic resonance (MR) images. An existing graph-cuts based algorithm is extended and applied to 4-D images. A probabilistic atlas is generated for each baseline scan by intersubject registration of multiple labeled images.
The atlases are used for baseline and aligned follow-up images and are combined with an intensity model to define a weighted graph that connects the timepoints. A minimal cut on this graph yields the segmentation for all timepoints. The resulting segmentations are consistent over time in boundary regions with weak gray scale definition, but reflect atrophy well where the structure boundary is well defined by MR intensity.
The hippocampus was segmented in 568 baseline and follow-up images provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI).
The estimated atrophy rates correctly classified AD patients from controls at a rate of 82% (Atrophy rates: AD 3.85%/y.; MCI 2.31%/y.; controls: 0.85%/y.)

Original language	English
Title of host publication	2010 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	960-963
ISBN (Electronic)	978-1-4244-4126-6
ISBN (Print)	978-1-4244-4125-9
DOIs	https://doi.org/10.1109/ISBI.2010.5490147
Publication status	Published - 2010
MoE publication type	A4 Article in a conference publication
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010

Conference

Conference	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Abbreviated title	ISBI 2010
Country	Netherlands
City	Rotterdam
Period	14/04/10 → 17/04/10

Keywords

Alzheimer's disease
Graph-cuts
Hippocampal atrophy
Structural MR images

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Wolz, R., Heckemann, R. A., Aljabar, P., Hajnal, J. V., Hammers, A., Lötjönen, J., & Rueckert, D. (2010). Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 960-963). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISBI.2010.5490147

@inproceedings{a31e579f23854278bed27a3d19773390,

title = "Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts",

abstract = "We propose a method for simultaneous segmentation of serially acquired magnetic resonance (MR) images. An existing graph-cuts based algorithm is extended and applied to 4-D images. A probabilistic atlas is generated for each baseline scan by intersubject registration of multiple labeled images. The atlases are used for baseline and aligned follow-up images and are combined with an intensity model to define a weighted graph that connects the timepoints. A minimal cut on this graph yields the segmentation for all timepoints. The resulting segmentations are consistent over time in boundary regions with weak gray scale definition, but reflect atrophy well where the structure boundary is well defined by MR intensity. The hippocampus was segmented in 568 baseline and follow-up images provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI). The estimated atrophy rates correctly classified AD patients from controls at a rate of 82% (Atrophy rates: AD 3.85%/y.; MCI 2.31%/y.; controls: 0.85%/y.)",

keywords = "Alzheimer's disease, Graph-cuts, Hippocampal atrophy, Structural MR images",

author = "R. Wolz and Heckemann, {R. A.} and P. Aljabar and Hajnal, {J. V.} and A. Hammers and Jyrki L{\"o}tj{\"o}nen and D. Rueckert",

year = "2010",

doi = "10.1109/ISBI.2010.5490147",

language = "English",

isbn = "978-1-4244-4125-9",

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booktitle = "2010 IEEE International Symposium on Biomedical Imaging",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

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Wolz, R, Heckemann, RA, Aljabar, P, Hajnal, JV, Hammers, A, Lötjönen, J & Rueckert, D 2010, Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. in 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE Institute of Electrical and Electronic Engineers, pp. 960-963, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490147

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. / Wolz, R.; Heckemann, R. A.; Aljabar, P.; Hajnal, J. V.; Hammers, A.; Lötjönen, Jyrki; Rueckert, D.

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE Institute of Electrical and Electronic Engineers, 2010. p. 960-963.

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

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AB - We propose a method for simultaneous segmentation of serially acquired magnetic resonance (MR) images. An existing graph-cuts based algorithm is extended and applied to 4-D images. A probabilistic atlas is generated for each baseline scan by intersubject registration of multiple labeled images. The atlases are used for baseline and aligned follow-up images and are combined with an intensity model to define a weighted graph that connects the timepoints. A minimal cut on this graph yields the segmentation for all timepoints. The resulting segmentations are consistent over time in boundary regions with weak gray scale definition, but reflect atrophy well where the structure boundary is well defined by MR intensity. The hippocampus was segmented in 568 baseline and follow-up images provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI). The estimated atrophy rates correctly classified AD patients from controls at a rate of 82% (Atrophy rates: AD 3.85%/y.; MCI 2.31%/y.; controls: 0.85%/y.)

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