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Elsevier, NeuroImage, 1(35), p. 166-174

DOI: 10.1016/j.neuroimage.2006.10.040

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Diffusion Tensor Imaging Segmentation of White Matter Structures Using a Reproducible Objective Quantification Scheme (ROQS)

Journal article published in 2007 by Sumit N. Niogi, Pratik Mukherjee ORCID, Bruce D. McCandliss
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Postprint: archiving allowed
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Data provided by SHERPA/RoMEO

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 Tesla 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.