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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publicationProceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages960-963
ISBN (Print)978-1-4244-4125-9, 978-1-4244-4126-6
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: 14 Apr 201017 Apr 2010

Conference

Conference7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Abbreviated titleISBI 2010
CountryNetherlands
CityRotterdam
Period14/04/1017/04/10

Fingerprint

Magnetic resonance
Neuroimaging

Keywords

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

Cite this

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 Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 (pp. 960-963). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ISBI.2010.5490147
Wolz, R. ; Heckemann, R. A. ; Aljabar, P. ; Hajnal, J. V. ; Hammers, A. ; Lötjönen, Jyrki ; Rueckert, D. / Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010. IEEE Institute of Electrical and Electronic Engineers , 2010. pp. 960-963
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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",
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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 Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010. 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.

Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010. IEEE Institute of Electrical and Electronic Engineers , 2010. p. 960-963.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Wolz R, Heckemann RA, Aljabar P, Hajnal JV, Hammers A, Lötjönen J et al. Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. In Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010. IEEE Institute of Electrical and Electronic Engineers . 2010. p. 960-963 https://doi.org/10.1109/ISBI.2010.5490147