Automated voxel-wise brain DTI analysis of fitness and aging

Zhexing Liu, Mahshid Farzinfar, Laurence M. Katz, Hongtu Zhu, Casey B. Goodlett, Guido Gerig, Martin Styner, Bonita L. Marks

    Research output: Contribution to journalArticle

    Abstract

    Diffusion Tensor Imaging (DTI) has become a widely used MR modality to investigate white matter integrity in the brain. This paper presents the application of an automated method for voxel-wise group comparisons of DTI images in a study of fitness and aging. The automated processing method consists of 3 steps: 1) preprocessing including image format converting, image quality control, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via diffeomorphic fluid-based and demons deformable registration and 3) voxel-wise statistical analysis via heterogeneous linear regression and a wild bootstrap technique for correcting for multiple comparisons. Our results show that this fully automated method is suitable for voxel-wise group DTI analysis. Furthermore, in older adults, the results suggest a strong link between reduced fractional anisotropy (FA) values, fitness and aging.

    Original languageEnglish (US)
    Pages (from-to)80-88
    Number of pages9
    JournalOpen Medical Imaging Journal
    Volume6
    DOIs
    StatePublished - 2012

    Keywords

    • Aging and aerobic fitness
    • DTI atlas
    • Diffusion tensor imaging
    • Nonlinear warping
    • Voxel-wise analysis

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Liu, Z., Farzinfar, M., Katz, L. M., Zhu, H., Goodlett, C. B., Gerig, G., Styner, M., & Marks, B. L. (2012). Automated voxel-wise brain DTI analysis of fitness and aging. Open Medical Imaging Journal, 6, 80-88. https://doi.org/10.2174/1874347101206010080