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Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Research Abstract Details 

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  • Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Abstract Text:

    bennett a landmanBennett A Landman,jonathan a d farrellJonathan A D Farrell,craig k jonesCraig K Jones,seth a smithSeth A Smith,jerry l princeJerry L Prince,susumu moriSusumu Mori,

    Diffusion tensor imaging (DTI) is used to study tissue composition and architecture in vivo. To increase the signal to noise ratio (SNR) of DTI contrasts, studies typically use more than the minimum of 6 diffusion weighting (DW) directions or acquire repeated observations of the same set of DW directions. Simulation-based studies have sought to optimize DTI acquisitions and suggest that increasing the directional resolution of a DTI dataset (i.e., the number of distinct directions) is preferable to repeating observations, in an equal scan time comparison. However, it is not always clear how to translate these recommendations into practice when considering physiological noise and scanner stability. Furthermore, the effect of different DW schemes on in vivo DTI findings is not fully understood. This study characterizes how the makeup of a DW scheme, in terms of the number of directions, impacts the precision and accuracy of in vivo fractional anisotropy (FA), mean diffusivity (MD), and principal eigenvector (PEV) findings. Orientation dependence of DTI reliability is demonstrated in vivo and a principled theoretical framework is provided to support and interpret findings with simulation results. As long as sampling orientations are well balanced, differences in DTI contrasts due to different DW schemes are shown to be small relative to intra-session variability. These differences are accentuated at low SNR, while minimized at high SNR. This result suggests that typical clinical studies, which use similar protocols but different well-balanced DW schemes, are readily comparable within the experimental precision.

    Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Publishing Authors By Initials

    ba landmanBA Landman,ja farrellJA Farrell,ck jonesCK Jones,sa smithSA Smith,jl princeJL Prince,s moriS Mori,

    For similar information science: computing methodologies: software research abstracts see: information science: computing methodologies: software research

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    Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: NeuroImage

    VOLUME: 36

    Page Numbers: 1123-38

    Journal Abbreviation: Neuroimage

    ISSN: 1053-8119

    DAY: 4

    MONTH: 04

    YEAR: 2007

    Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Information

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    LANGUAGE: eng

    NlmUniqueID: 9215515

    Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Keywords Mesh Terms:

    KEYWORDS: Software

    MESH TERMS: methods

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    Grant and Affiliation Information for Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

    AFFILIATION: Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NCRR

    GRANT: U24 RR021382-02

    ACRONYM: RR

    MEDLINETA: Neuroimage

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