Title | Diffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS). |
Publication Type | Journal Article |
Year of Publication | 2007 |
Authors | Niogi SN, Mukherjee P, McCandliss BD |
Journal | Neuroimage |
Volume | 35 |
Issue | 1 |
Pagination | 166-74 |
Date Published | 2007 Mar |
ISSN | 1053-8119 |
Keywords | Adult, 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. |
DOI | 10.1016/j.neuroimage.2006.10.040 |
Alternate Journal | Neuroimage |
PubMed ID | 17208014 |
PubMed Central ID | PMC2707997 |
Grant List | R01 DC007694 / DC / NIDCD NIH HHS / United States R01 DC007694-01A1 / DC / NIDCD NIH HHS / United States |
Related Institute:
Brain Health Imaging Institute (BHII)