Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing

Li Feng, Daniel K. Sodickson, Ricardo Otazo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Compressed sensing is a powerful rapid imaging approach for Magnetic Resonance Imaging (MRI) and has been applied to many clinical applications. In this work, we propose a new use of sparsity in addition to speed. In particular, we present a novel way of handling respiratory motion using compressed sensing for dynamic contrast-enhanced MRI. The proposed technique, called XD-GRASP (eXtra-Dimensional Golden-angle RAdial Sparse Parallel MRI), sorts the continuously acquired radial k-space data into undersampled contrast phases at multiple respiratory motion states using the self-navigation properties of radial imaging and employs a multidimensional compressed sensing reconstruction to exploit sparsity along both contrast-enhancement and respiratory motion dimensions. XD-GRASP improves image quality and also enables to track respiratory motion during contrast enhancement, which can potentially be of clinical value.

    Original languageEnglish (US)
    Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
    PublisherIEEE Computer Society
    Pages889-892
    Number of pages4
    ISBN (Electronic)9781479923748
    DOIs
    StatePublished - Jul 21 2015
    Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
    Duration: Apr 16 2015Apr 19 2015

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    Volume2015-July
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
    CountryUnited States
    CityBrooklyn
    Period4/16/154/19/15

    Keywords

    • Compressed sensing
    • free-breathing imaging
    • golden-angle radial sampling
    • motion compensation

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Feng, L., Sodickson, D. K., & Otazo, R. (2015). Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 889-892). [7164013] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7164013