Diffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS). Academic Article uri icon

Overview

abstract

  • 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 date

  • January 4, 2007

Research

keywords

  • Algorithms
  • Brain
  • Diffusion Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted

Identity

PubMed Central ID

  • PMC2707997

Scopus Document Identifier

  • 33846926345

Digital Object Identifier (DOI)

  • 10.1016/j.neuroimage.2006.10.040

PubMed ID

  • 17208014

Additional Document Info

volume

  • 35

issue

  • 1