Belief propagation based segmentation of white matter tracts in DTI.

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages943-950
Number of pages8
Volume12
EditionPt 1
StatePublished - 2009

Fingerprint

Atlases
Brain
Multiple Sclerosis
Healthy Volunteers
White Matter
Direction compound
Datasets

ASJC Scopus subject areas

  • Medicine(all)

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 ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 12, pp. 943-950)

Belief propagation based segmentation of white matter tracts in DTI. / Bazin, Pierre Louis; Bogovic, John; Reich, Daniel; Prince, Jerry Ladd; Pham, Dzung L.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 1. ed. 2009. p. 943-950.

Research output: Chapter in Book/Report/Conference proceedingChapter

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 ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 12, pp. 943-950.
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 ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 12. 2009. p. 943-950
Bazin, Pierre Louis ; Bogovic, John ; Reich, Daniel ; Prince, Jerry Ladd ; Pham, Dzung L. / Belief propagation based segmentation of white matter tracts in DTI. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 1. ed. 2009. pp. 943-950
@inbook{a283876c3ad84695af769d7deb8d7512,
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 Ladd} and Pham, {Dzung L.}",
year = "2009",
language = "English (US)",
volume = "12",
pages = "943--950",
booktitle = "Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention",
edition = "Pt 1",

}

TY - CHAP

T1 - Belief propagation based segmentation of white matter tracts in DTI.

AU - Bazin, Pierre Louis

AU - Bogovic, John

AU - Reich, Daniel

AU - Prince, Jerry Ladd

AU - Pham, Dzung L.

PY - 2009

Y1 - 2009

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84883846308&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883846308&partnerID=8YFLogxK

M3 - Chapter

VL - 12

SP - 943

EP - 950

BT - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

ER -