Belief propagation based segmentation of white matter tracts in DTI

Pierre Louis Bazin; John Bogovic; Daniel Reich; Jerry L. Prince; Dzung L. Pham

doi:10.1007/978-3-642-04268-3_116

Belief propagation based segmentation of white matter tracts in DTI

Pierre Louis Bazin^*, John Bogovic, Daniel Reich, Jerry L. Prince, Dzung L. Pham

^*Corresponding author for this work

Radiology and Bioengineering

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

5 Scopus citations

Abstract

This paper presents a belief propagation approach to the segmentation of the major white matter tracts in diffusion tensor images of the human brain. Unlike tractography methods that sample multiple fibers to be bundled together, we define a Markov field directly on the diffusion tensors to separate the main fiber tracts at the voxel level. A prior model of shape and direction guides a full segmentation of the brain into known fiber tracts; additional, unspecified fibers; and isotropic regions. The method is evaluated on various data sets from an atlasing project, healthy subjects, and multiple sclerosis patients.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
Pages	943-950
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-04268-3_116
State	Published - 2009
Event	12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom Duration: 20 Sep 2009 → 24 Sep 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

Access to Document

10.1007/978-3-642-04268-3_116

Cite this

Bazin, P. L., Bogovic, J., Reich, D., Prince, J. L., & Pham, D. L. (2009). Belief propagation based segmentation of white matter tracts in DTI. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings (PART 1 ed., pp. 943-950). (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_116

Bazin, Pierre Louis ; Bogovic, John ; Reich, Daniel et al. / Belief propagation based segmentation of white matter tracts in DTI. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1. ed. 2009. pp. 943-950 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Belief propagation based segmentation of white matter tracts in DTI",

abstract = "This paper presents a belief propagation approach to the segmentation of the major white matter tracts in diffusion tensor images of the human brain. Unlike tractography methods that sample multiple fibers to be bundled together, we define a Markov field directly on the diffusion tensors to separate the main fiber tracts at the voxel level. A prior model of shape and direction guides a full segmentation of the brain into known fiber tracts; additional, unspecified fibers; and isotropic regions. The method is evaluated on various data sets from an atlasing project, healthy subjects, and multiple sclerosis patients.",

author = "Bazin, {Pierre Louis} and John Bogovic and Daniel Reich and Prince, {Jerry L.} and Pham, {Dzung L.}",

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Bazin, PL, Bogovic, J, Reich, D, Prince, JL & Pham, DL 2009, Belief propagation based segmentation of white matter tracts in DTI. 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. 943-950, 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_116

Belief propagation based segmentation of white matter tracts in DTI. / Bazin, Pierre Louis; Bogovic, John; Reich, Daniel et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1. ed. 2009. p. 943-950 (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 › peer-review

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AB - This paper presents a belief propagation approach to the segmentation of the major white matter tracts in diffusion tensor images of the human brain. Unlike tractography methods that sample multiple fibers to be bundled together, we define a Markov field directly on the diffusion tensors to separate the main fiber tracts at the voxel level. A prior model of shape and direction guides a full segmentation of the brain into known fiber tracts; additional, unspecified fibers; and isotropic regions. The method is evaluated on various data sets from an atlasing project, healthy subjects, and multiple sclerosis patients.

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Bazin PL, Bogovic J, Reich D, Prince JL, Pham DL. Belief propagation based segmentation of white matter tracts in DTI. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings. PART 1 ed. 2009. p. 943-950. (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_116