Local atlas selection and performance estimation in multi-atlas based segmentation

T.R. Langerak; U.A. Heide, van der; A.N.T.J. Kotte; F.F. Berendsen; J.P.W. Pluim

doi:10.1109/ISBI.2011.5872495

Local atlas selection and performance estimation in multi-atlas based segmentation

T.R. Langerak, U.A. Heide, van der, A.N.T.J. Kotte, F.F. Berendsen, J.P.W. Pluim

Medical Image Analysis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

In multi-atlas based segmentation, a new image is segmented by registering multiple atlas images and propagating the corresponding atlas segmentations. These propagated segmentations are then combined in a process called label fusion. This paper presents a new, local method that divides the propagated segmentations in multiple, user-definable regions. A label fusion process can then be applied to each of these regions separately and the end result can be constructed out of multiple partial results. The new method is compared to non-local label fusion methods, as well as with another local method called ALMAS. It is shown that local selection does not lead to a significant improvement in cases where existing methods already have a good result, but that our method significantly improves the result of atlas-based segmentation in cases where existing methods are less successful. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	669-672
ISBN (Print)	978-1-4244-4128-0
DOIs	https://doi.org/10.1109/ISBI.2011.5872495
Publication status	Published - 2011

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Langerak, T. R., Heide, van der, U. A., Kotte, A. N. T. J., Berendsen, F. F., & Pluim, J. P. W. (2011). Local atlas selection and performance estimation in multi-atlas based segmentation. In Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA (pp. 669-672). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISBI.2011.5872495

Langerak, T.R. ; Heide, van der, U.A. ; Kotte, A.N.T.J. ; Berendsen, F.F. ; Pluim, J.P.W. / Local atlas selection and performance estimation in multi-atlas based segmentation. Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA. Piscataway : Institute of Electrical and Electronics Engineers, 2011. pp. 669-672

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abstract = "In multi-atlas based segmentation, a new image is segmented by registering multiple atlas images and propagating the corresponding atlas segmentations. These propagated segmentations are then combined in a process called label fusion. This paper presents a new, local method that divides the propagated segmentations in multiple, user-definable regions. A label fusion process can then be applied to each of these regions separately and the end result can be constructed out of multiple partial results. The new method is compared to non-local label fusion methods, as well as with another local method called ALMAS. It is shown that local selection does not lead to a significant improvement in cases where existing methods already have a good result, but that our method significantly improves the result of atlas-based segmentation in cases where existing methods are less successful. {\textcopyright} 2011 IEEE.",

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Langerak, TR, Heide, van der, UA, Kotte, ANTJ, Berendsen, FF & Pluim, JPW 2011, Local atlas selection and performance estimation in multi-atlas based segmentation. in Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA. Institute of Electrical and Electronics Engineers, Piscataway, pp. 669-672. https://doi.org/10.1109/ISBI.2011.5872495

Local atlas selection and performance estimation in multi-atlas based segmentation. / Langerak, T.R.; Heide, van der, U.A.; Kotte, A.N.T.J.; Berendsen, F.F.; Pluim, J.P.W.

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA. Piscataway : Institute of Electrical and Electronics Engineers, 2011. p. 669-672.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In multi-atlas based segmentation, a new image is segmented by registering multiple atlas images and propagating the corresponding atlas segmentations. These propagated segmentations are then combined in a process called label fusion. This paper presents a new, local method that divides the propagated segmentations in multiple, user-definable regions. A label fusion process can then be applied to each of these regions separately and the end result can be constructed out of multiple partial results. The new method is compared to non-local label fusion methods, as well as with another local method called ALMAS. It is shown that local selection does not lead to a significant improvement in cases where existing methods already have a good result, but that our method significantly improves the result of atlas-based segmentation in cases where existing methods are less successful. © 2011 IEEE.

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Langerak TR, Heide, van der UA, Kotte ANTJ, Berendsen FF, Pluim JPW. Local atlas selection and performance estimation in multi-atlas based segmentation. In Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI'11), 30 March - 2 April 2011, Chicago, USA. Piscataway: Institute of Electrical and Electronics Engineers. 2011. p. 669-672 https://doi.org/10.1109/ISBI.2011.5872495