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

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 ex...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2007-03, Vol.35 (1), p.166-174
Main Authors: Niogi, Sumit N., Mukherjee, Pratik, McCandliss, Bruce D.
Format: Article
Language:English
Subjects:
Adult
Algorithms
Anisotropy
Automation
Brain
Brain - anatomy & histology
Brain research
Corpus Callosum - anatomy & histology
Corpus Callosum - physiology
Databases, Factual
Diffusion
Diffusion Magnetic Resonance Imaging - statistics & numerical data
Humans
Image Processing, Computer-Assisted - statistics & numerical data
Observer Variation
Reference Values
Reproducibility of Results
Studies
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Description
Summary: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.
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2006.10.040