Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI

Ricardo Otazo, Li Feng, Hersh Chandarana, Tobias Block, Leon Axel, Daniel K. Sodickson

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

    Abstract

    The introduction of compressed sensing methods to speed up image acquisition has received great attention in the Magnetic Resonance Imaging (MRI) community. Compressed sensing exploits the compressibility of medical images to reconstruct unaliased images from undersampled data. Moreover, compressed sensing can be synergistically combined with previously introduced acceleration methods such as parallel imaging, which employs arrays of receiver coils to further increase imaging speed. Over the past three years, we have been working on the combination of compressed sensing and parallel imaging, exploiting the idea of joint multicoil sparsity. In this work, we present a summary of our image acquisition and reconstruction methods for the combination of compressed sensing and parallel imaging, and describe applications to cardiac and body dynamic MRI.

    Original languageEnglish (US)
    Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
    Pages980-983
    Number of pages4
    DOIs
    StatePublished - 2012
    Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
    Duration: May 2 2012May 5 2012

    Publication series

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

    Other

    Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
    CountrySpain
    CityBarcelona
    Period5/2/125/5/12

    Keywords

    • Compressed sensing
    • body imaging
    • cardiac imaging
    • dynamic MRI
    • parallel imaging

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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