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

TitleDiffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS).
Publication TypeJournal Article
Year of Publication2007
AuthorsNiogi SN, Mukherjee P, McCandliss BD
JournalNeuroimage
Volume35
Issue1
Pagination166-74
Date Published2007 Mar
ISSN1053-8119
KeywordsAdult, Algorithms, Anisotropy, Brain, Corpus Callosum, Databases, Factual, Diffusion Magnetic Resonance Imaging, Humans, Image Processing, Computer-Assisted, Observer Variation, Reference Values, Reproducibility of Results
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.

DOI10.1016/j.neuroimage.2006.10.040
Alternate JournalNeuroimage
PubMed ID17208014
PubMed Central IDPMC2707997
Grant ListR01 DC007694 / DC / NIDCD NIH HHS / United States
R01 DC007694-01A1 / DC / NIDCD NIH HHS / United States
Related Institute: 
Brain Health Imaging Institute (BHII)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065