Large deformation diffeomorphic registration using fine and coarse strategies

Laurent Risser; François Xavier Vialard; Maria Murgasova; Darryl Holm; Daniel Rueckert

doi:10.1007/978-3-642-14366-3_17

Large deformation diffeomorphic registration using fine and coarse strategies

Laurent Risser, François Xavier Vialard, Maria Murgasova, Darryl Holm, Daniel Rueckert

Imperial College London

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

4 Scopus citations

Abstract

In this paper we present two fine and coarse approaches for the efficient registration of 3D medical images using the framework of Large Deformation Diffeomorphic Metric Mapping (LDDMM). This formalism has several important advantages since it allows large, smooth and invertible deformations and has interesting statistical properties. We first highlight the influence of the smoothing kernel in the LDDMM framework. We then show why approaches taking into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.

Original language	English
Title of host publication	Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings
Pages	186-197
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-14366-3_17
State	Published - 2010
Externally published	Yes
Event	4th International Workshop on Biomedical Image Registration, WBIR 2010 - Lubeck, Germany Duration: 11 Jul 2010 → 13 Jul 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6204 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Biomedical Image Registration, WBIR 2010
Country/Territory	Germany
City	Lubeck
Period	11/07/10 → 13/07/10

Access to Document

10.1007/978-3-642-14366-3_17

Cite this

Risser, L., Vialard, F. X., Murgasova, M., Holm, D., & Rueckert, D. (2010). Large deformation diffeomorphic registration using fine and coarse strategies. In Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings (pp. 186-197). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6204 LNCS). https://doi.org/10.1007/978-3-642-14366-3_17

Risser, Laurent ; Vialard, François Xavier ; Murgasova, Maria et al. / Large deformation diffeomorphic registration using fine and coarse strategies. Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings. 2010. pp. 186-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Large deformation diffeomorphic registration using fine and coarse strategies",

abstract = "In this paper we present two fine and coarse approaches for the efficient registration of 3D medical images using the framework of Large Deformation Diffeomorphic Metric Mapping (LDDMM). This formalism has several important advantages since it allows large, smooth and invertible deformations and has interesting statistical properties. We first highlight the influence of the smoothing kernel in the LDDMM framework. We then show why approaches taking into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.",

author = "Laurent Risser and Vialard, {Fran{\c c}ois Xavier} and Maria Murgasova and Darryl Holm and Daniel Rueckert",

year = "2010",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Risser, L, Vialard, FX, Murgasova, M, Holm, D & Rueckert, D 2010, Large deformation diffeomorphic registration using fine and coarse strategies. in Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6204 LNCS, pp. 186-197, 4th International Workshop on Biomedical Image Registration, WBIR 2010, Lubeck, Germany, 11/07/10. https://doi.org/10.1007/978-3-642-14366-3_17

Large deformation diffeomorphic registration using fine and coarse strategies. / Risser, Laurent; Vialard, François Xavier; Murgasova, Maria et al.
Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings. 2010. p. 186-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6204 LNCS).

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

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AB - In this paper we present two fine and coarse approaches for the efficient registration of 3D medical images using the framework of Large Deformation Diffeomorphic Metric Mapping (LDDMM). This formalism has several important advantages since it allows large, smooth and invertible deformations and has interesting statistical properties. We first highlight the influence of the smoothing kernel in the LDDMM framework. We then show why approaches taking into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.

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Risser L, Vialard FX, Murgasova M, Holm D, Rueckert D. Large deformation diffeomorphic registration using fine and coarse strategies. In Biomedical Image Registration - 4th International Workshop, WBIR 2010, Proceedings. 2010. p. 186-197. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-14366-3_17

Large deformation diffeomorphic registration using fine and coarse strategies

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