Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum

M. de Groot; M.W. Vernooij; S. Klein; A.L.G. Leemans; R. de Boer; A. van der Lugt; M.M.B. Breteler; W.J. Niessen

doi:10.1007/978-3-642-04268-3_105

Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum

M. de Groot, M.W. Vernooij, S. Klein, A.L.G. Leemans, R. de Boer, A. van der Lugt, M.M.B. Breteler, W.J. Niessen

Image Sciences Institute

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

5 Citations (Scopus)

Abstract

We present a method for the fully automated extraction of the cingulum using diffusion tensor imaging (DTI) data. We perform whole-brain tractography and initialize tract selection in the cingulum with a registered DTI atlas. Tracts are parameterized from which tract co-linearity is derived. The tract set, filtered on the basis of co-linearity with the cingulum shape, yields an improved segmentation of the cingulum and is subsequently optimized in an iterative fashion to further improve the tract selection. We evaluate the method using a large DTI database of 500 subjects from the general population and show robust extraction of tracts in the entire cingulate bundle in both hemispheres. We demonstrate the use of the extracted fiber-tracts to compare left and right cingulate bundles. Our asymmetry analysis shows a higher fractional anisotropy in the left anterior part of the cingulum compared to the right side, and the opposite effect in the posterior part.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
Pages	853-860
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-04268-3_105
Publication status	Published - 1 Dec 2009
Event	12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom Duration: 20 Sept 2009 → 24 Sept 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5761 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
Country/Territory	United Kingdom
City	London
Period	20/09/09 → 24/09/09

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10.1007/978-3-642-04268-3_105

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de Groot, M., Vernooij, M. W., Klein, S., Leemans, A. L. G., de Boer, R., van der Lugt, A., Breteler, M. M. B., & Niessen, W. J. (2009). Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings (PART 1 ed., pp. 853-860). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5761 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-04268-3_105

de Groot, M. ; Vernooij, M.W. ; Klein, S. et al. / Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1. ed. 2009. pp. 853-860 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum",

abstract = "We present a method for the fully automated extraction of the cingulum using diffusion tensor imaging (DTI) data. We perform whole-brain tractography and initialize tract selection in the cingulum with a registered DTI atlas. Tracts are parameterized from which tract co-linearity is derived. The tract set, filtered on the basis of co-linearity with the cingulum shape, yields an improved segmentation of the cingulum and is subsequently optimized in an iterative fashion to further improve the tract selection. We evaluate the method using a large DTI database of 500 subjects from the general population and show robust extraction of tracts in the entire cingulate bundle in both hemispheres. We demonstrate the use of the extracted fiber-tracts to compare left and right cingulate bundles. Our asymmetry analysis shows a higher fractional anisotropy in the left anterior part of the cingulum compared to the right side, and the opposite effect in the posterior part.",

author = "{de Groot}, M. and M.W. Vernooij and S. Klein and A.L.G. Leemans and {de Boer}, R. and {van der Lugt}, A. and M.M.B. Breteler and W.J. Niessen",

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de Groot, M, Vernooij, MW, Klein, S, Leemans, ALG, de Boer, R, van der Lugt, A, Breteler, MMB & Niessen, WJ 2009, Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5761 LNCS, pp. 853-860, 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, London, United Kingdom, 20/09/09. https://doi.org/10.1007/978-3-642-04268-3_105

Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum. / de Groot, M.; Vernooij, M.W.; Klein, S. et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1. ed. 2009. p. 853-860 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5761 LNCS, No. PART 1).

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

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AU - de Groot, M.

AU - Vernooij, M.W.

AU - Klein, S.

AU - Leemans, A.L.G.

AU - de Boer, R.

AU - van der Lugt, A.

AU - Breteler, M.M.B.

AU - Niessen, W.J.

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N2 - We present a method for the fully automated extraction of the cingulum using diffusion tensor imaging (DTI) data. We perform whole-brain tractography and initialize tract selection in the cingulum with a registered DTI atlas. Tracts are parameterized from which tract co-linearity is derived. The tract set, filtered on the basis of co-linearity with the cingulum shape, yields an improved segmentation of the cingulum and is subsequently optimized in an iterative fashion to further improve the tract selection. We evaluate the method using a large DTI database of 500 subjects from the general population and show robust extraction of tracts in the entire cingulate bundle in both hemispheres. We demonstrate the use of the extracted fiber-tracts to compare left and right cingulate bundles. Our asymmetry analysis shows a higher fractional anisotropy in the left anterior part of the cingulum compared to the right side, and the opposite effect in the posterior part.

AB - We present a method for the fully automated extraction of the cingulum using diffusion tensor imaging (DTI) data. We perform whole-brain tractography and initialize tract selection in the cingulum with a registered DTI atlas. Tracts are parameterized from which tract co-linearity is derived. The tract set, filtered on the basis of co-linearity with the cingulum shape, yields an improved segmentation of the cingulum and is subsequently optimized in an iterative fashion to further improve the tract selection. We evaluate the method using a large DTI database of 500 subjects from the general population and show robust extraction of tracts in the entire cingulate bundle in both hemispheres. We demonstrate the use of the extracted fiber-tracts to compare left and right cingulate bundles. Our asymmetry analysis shows a higher fractional anisotropy in the left anterior part of the cingulum compared to the right side, and the opposite effect in the posterior part.

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M3 - Conference contribution

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SN - 3642042678

SN - 9783642042676

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009

Y2 - 20 September 2009 through 24 September 2009

ER -

de Groot M, Vernooij MW, Klein S, Leemans ALG, de Boer R, van der Lugt A et al. Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1 ed. 2009. p. 853-860. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-04268-3_105

Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum

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