Level set and region based surface propagation for diffusion tensor MRI segmentation

Mikaël Rousson; Christophe Lenglet; Rachid Deriche

doi:10.1007/978-3-540-27816-0_11

Level set and region based surface propagation for diffusion tensor MRI segmentation

Mikaël Rousson, Christophe Lenglet, Rachid Deriche

Radiology

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

39 Scopus citations

Abstract

Diffusion Tensor Imaging (DTI) is a relatively new modality for human brain imaging. During the last years, this modality has become widely used in medical studies. Tractography is currently the favorite technique to characterize and analyse the structure of the brain white matter. Only a few studies have been proposed to group data of particular interest. Rather than working on extracted fibers or on an estimated scalar value accounting for anisotropy as done in other approaches, we propose to extend classical segmentation techniques based on surface evolution by considering region statistics defined on the full diffusion tensor field itself. A multivariate Gaussian is used to approximate the density of the components of diffusion tensor for each sub-region of the volume. We validate our approach on synthetical data and we show promising results on the extraction of the corpus callosum from a real dataset.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic
Publisher	Springer Verlag
Pages	123-134
Number of pages	12
ISBN (Print)	3540226753, 9783540226758
DOIs	https://doi.org/10.1007/978-3-540-27816-0_11
State	Published - 2004
Event	International Workshop on Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004 and International Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2004 held in conjunction with 8th European Conference on Computer Vision, ECCV 2004 - Prague, Czech Republic Duration: May 15 2004 → May 15 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3117
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Workshop on Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004 and International Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2004 held in conjunction with 8th European Conference on Computer Vision, ECCV 2004
Country/Territory	Czech Republic
City	Prague
Period	5/15/04 → 5/15/04

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.

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Rousson, M., Lenglet, C., & Deriche, R. (2004). Level set and region based surface propagation for diffusion tensor MRI segmentation. In M. Sonka, I. A. Kakadiaris, & J. Kybic (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 123-134). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3117). Springer Verlag. https://doi.org/10.1007/978-3-540-27816-0_11

Level set and region based surface propagation for diffusion tensor MRI segmentation. / Rousson, Mikaël; Lenglet, Christophe; Deriche, Rachid.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Milan Sonka; Ioannis A. Kakadiaris; Jan Kybic. Springer Verlag, 2004. p. 123-134 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3117).

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

Rousson, M, Lenglet, C & Deriche, R 2004, Level set and region based surface propagation for diffusion tensor MRI segmentation. in M Sonka, IA Kakadiaris & J Kybic (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3117, Springer Verlag, pp. 123-134, International Workshop on Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004 and International Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2004 held in conjunction with 8th European Conference on Computer Vision, ECCV 2004 , Prague, Czech Republic, 5/15/04. https://doi.org/10.1007/978-3-540-27816-0_11

Rousson M, Lenglet C, Deriche R. Level set and region based surface propagation for diffusion tensor MRI segmentation. In Sonka M, Kakadiaris IA, Kybic J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 123-134. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-27816-0_11

Rousson, Mikaël ; Lenglet, Christophe ; Deriche, Rachid. / Level set and region based surface propagation for diffusion tensor MRI segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Milan Sonka ; Ioannis A. Kakadiaris ; Jan Kybic. Springer Verlag, 2004. pp. 123-134 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Level set and region based surface propagation for diffusion tensor MRI segmentation

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