*Corresponding author:
Youngseob Seo, Center for Medical Metrology, Korea Research Institute of Standards and Science, Daejeon, Department of Radiology, University of Science and Technology, Daejeon, 267 Gajeong-Ro, Yuseong-Gu, Daejeon 34113, Republic of KoreaReceived: January 12, 2018; Published: January 18, 2018
DOI: 10.26717/BJSTR.2018.02.000671
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This article provides a review of quality assurance and control issues in multi-site diffusion tensor imaging (DTI) studies for the evaluation of microstructural damage to white matter structures. In order to perform comparatively quantitative analysis of tensor metrics, tensor data must be of high quality and reproducible which requires documentation of scanner stability, minimization of artifacts, and optimization and standardization of image parameters. I review various practical aspects of DTI which impact quality of DTI with the focus on the quantification of tensor metrics.
Keywords: Diffusion Tensor Imaging; Cerebral White Matter; Multi-Site
Abbreviations: DTI: Diffusion tensor imaging; FA: Fractional Anisotropy; SNR: Signal-Noise Ratio; MD: Mean Diffusivity