DTI registration in atlas based fiber analysis of infantile Krabbe disease

Yi Wang, Aditya Gupta, Zhexing Liu, Hui Zhang, Maria L. Escolar, John H. Gilmore, Sylvain Gouttard, Pierre Fillard, Eric Maltbie, Guido Gerig, Martin Styner

    Research output: Contribution to journalArticle

    Abstract

    In recent years, diffusion tensor imaging (DTI) has become the modality of choice to investigate white matter pathology in the developing brain. To study neonate Krabbe disease with DTI, we evaluate the performance of linear and non-linear DTI registration algorithms for atlas based fiber tract analysis. The DTI scans of 10 age-matched neonates with infantile Krabbe disease are mapped into an atlas for the analysis of major fiber tracts - the genu and splenium of the corpus callosum, the internal capsules tracts and the uncinate fasciculi. The neonate atlas is based on 377 healthy control subjects, generated using an unbiased diffeomorphic atlas building method. To evaluate the performance of one linear and seven nonlinear commonly used registration algorithms for DTI we propose the use of two novel evaluation metrics: a regional matching quality criterion incorporating the local tensor orientation similarity, and a fiber property profile based metric using normative correlation. Our experimental results indicate that the whole tensor based registration method within the DTI-ToolKit (DTI-TK) shows the best performance for our application.

    Original languageEnglish (US)
    Pages (from-to)1577-1586
    Number of pages10
    JournalNeuroImage
    Volume55
    Issue number4
    DOIs
    StatePublished - Apr 15 2011

    Keywords

    • Diffusion tensor imaging
    • Evaluation metrics
    • Fiber tracts
    • Krabbe disease
    • MRI
    • Registration

    ASJC Scopus subject areas

    • Neurology
    • Cognitive Neuroscience

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  • Cite this

    Wang, Y., Gupta, A., Liu, Z., Zhang, H., Escolar, M. L., Gilmore, J. H., Gouttard, S., Fillard, P., Maltbie, E., Gerig, G., & Styner, M. (2011). DTI registration in atlas based fiber analysis of infantile Krabbe disease. NeuroImage, 55(4), 1577-1586. https://doi.org/10.1016/j.neuroimage.2011.01.038