Diffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS)

Neuroimage. 2007 Mar;35(1):166-74. doi: 10.1016/j.neuroimage.2006.10.040. Epub 2007 Jan 4.


Reproducible Objective Quantification Scheme (ROQS) is a novel method for regional white matter measurements of diffusion tensor imaging (DTI) parameters that overcomes the limitations of previous approaches for analyzing large cohorts of subjects reliably. ROQS is a semi-automated technique that exploits the fiber orientation information from the diffusion tensor in conjunction with a binary masking and chain-linking algorithm to segment anatomically distinct white matter tracts for subsequent quantitative analysis of DTI parameters such as fractional anisotropy and apparent diffusion coefficient. When applied to 3-T whole-brain DTI of normal adult volunteers, ROQS is shown to segment the corpus callosum much faster than manual region of interest (ROI) delineation, and with better reproducibility and accuracy.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Algorithms*
  • Anisotropy
  • Brain / anatomy & histology*
  • Corpus Callosum / anatomy & histology
  • Corpus Callosum / physiology
  • Databases, Factual
  • Diffusion Magnetic Resonance Imaging / statistics & numerical data*
  • Humans
  • Image Processing, Computer-Assisted / statistics & numerical data*
  • Observer Variation
  • Reference Values
  • Reproducibility of Results