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Reliability of two clinically relevant fiber pathways reconstructed with constrained spherical deconvolution

Authors

  • Gert Kristo,

    1. Department of Medical Psychology and Neuropsychology, University of Tilburg, Tilburg, The Netherlands
    2. Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands
    3. Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
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  • Alexander Leemans,

    1. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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  • Mathijs Raemaekers,

    1. Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
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  • Geert-Jan Rutten,

    1. Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands
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  • Beatrice de Gelder,

    1. Department of Medical Psychology and Neuropsychology, University of Tilburg, Tilburg, The Netherlands
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  • Nick F. Ramsey

    Corresponding author
    1. Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
    • Correspondence to: Nick F. Ramsey, Department of Neurology and Neurosurgery, Rudolf Magnus Institute for Neuroscience, University Medical Center Utrecht, Heidelberglaan 100, mail stop G.03.124, 3584 CX Utrecht, The Netherlands. E-mail: n.f.ramsey@umcutrecht.nl

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Abstract

The single diffusion tensor model is inadequate for the reconstruction of fiber pathways in brain regions with multiple fiber orientations. To overcome this limitation, constrained spherical deconvolution has been proposed. A high reliability of constrained spherical deconvolution is, however, a pre-requisite for its use in clinical applications. Reliability of reconstructed fiber pathways can be assessed in terms of architectural (addressing their spatial configuration) and microstructural (addressing diffusion-derived measures along the fibers) reproducibility. We assess the reliability for two clinically relevant fiber pathways: the corticospinal tract and arcuate fasciculus. The fiber pathways were reconstructed using constrained spherical deconvolution in 11 healthy subjects who were scanned on three occasions. Coefficients of variations of diffusion-derived measures were used to assess the microstructural reproducibility. Image correlation and fiber overlap were used to assess the architectural reproducibility. The mean correlation between sessions was 72% for both the corticospinal tract and arcuate fasciculus. The mean overlap between sessions was 63% for the corticospinal tract and 58% for the arcuate fasciculus. Coefficients of variations of diffusion-derived measures showed very low variation (all measures <3.1%). These results are comparable with reliability results based on the diffusion tensor model, which is commonly used in clinical settings. The reliability results found here are, therefore, promising to further investigate the use of constrained spherical deconvolution in clinical practice. Magn Reson Med 70:1544–1556, 2013. © 2013 Wiley Periodicals, Inc.

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