Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis

Isabelle Corouge, P. Thomas Fletcher, Sarang Joshi, John H. Gilmore, Guido Gerig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diffusion tensor imaging (DTI) has become the major modality to study properties of white matter and the geometry of fiber tracts of the human brain. Clinical studies mostly focus on regional statistics of fractional anisotropy (FA) and mean diffusivity (MD) derived from tensors. Existing analysis techniques do not sufficiently take into account that the measurements are tensors, and thus require proper interpolation and statistics based on tensors, and that regions of interest are fiber tracts with complex spatial geometry. We propose a new framework for quantitative tract-oriented DTI analysis that includes tensor interpolation and averaging, using nonlinear Riemannian symmetric space. As a result, tracts of interest are represented by the geometry of the medial spine attributed with tensor statistics calculated within cross-sections. Examples from a clinical neuroimaging study of the early developing brain illustrate the potential of this new method to assess white matter fiber maturation and integrity.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings
Pages131-139
Number of pages9
DOIs
StatePublished - 2005
Event8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - Palm Springs, CA, United States
Duration: Oct 26 2005Oct 29 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3749 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005
Country/TerritoryUnited States
CityPalm Springs, CA
Period10/26/0510/29/05

Keywords

  • DTI analysis
  • Diffusion tensor interpolation
  • Diffusion tensor statistics
  • Fiber tract modeling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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