SparseCT: Interrupted-beam acquisition and sparse reconstruction for radiation dose reduction

Thomas Koesters, Florian Knoll, Aaron Sodickson, Daniel K. Sodickson, Ricardo Otazo

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

    Abstract

    State-of-the-art low-dose CT methods reduce the x-ray tube current and use iterative reconstruction methods to denoise the resulting images. However, due to compromises between denoising and image quality, only moderate dose reductions up to 30-40% are accepted in clinical practice. An alternative approach is to reduce the number of x-ray projections and use compressed sensing to reconstruct the full-tube-current undersampled data. This idea was recognized in the early days of compressed sensing and proposals for CT dose reduction appeared soon afterwards. However, no practical means of undersampling has yet been demonstrated in the challenging environment of a rapidly rotating CT gantry. In this work, we propose a moving multislit collimator as a practical incoherent undersampling scheme for compressed sensing CT and evaluate its application for radiation dose reduction. The proposed collimator is composed of narrow slits and moves linearly along the slice dimension (z), to interrupt the incident beam in different slices for each x-ray tube angle (θ). The reduced projection dataset is then reconstructed using a sparse approach, where 3D image gradients are employed to enforce sparsity. The effects of the collimator slits on the beam profile were measured and represented as a continuous slice profile. SparseCT was tested using retrospective undersampling and compared against commercial current-reduction techniques on phantoms and in vivo studies. Initial results suggest that SparseCT may enable higher performance than current-reduction, particularly for high dose reduction factors.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2017
    Subtitle of host publicationPhysics of Medical Imaging
    EditorsTaly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
    PublisherSPIE
    ISBN (Electronic)9781510607095
    DOIs
    StatePublished - Jan 1 2017
    EventMedical Imaging 2017: Physics of Medical Imaging - Orlando, United States
    Duration: Feb 13 2017Feb 16 2017

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume10132
    ISSN (Print)1605-7422

    Conference

    ConferenceMedical Imaging 2017: Physics of Medical Imaging
    CountryUnited States
    CityOrlando
    Period2/13/172/16/17

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    Keywords

    • Collimator
    • Compressed sensing
    • Iterative reconstruction
    • Low-dose CT
    • Sparsity
    • Undersampling

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

    Cite this

    Koesters, T., Knoll, F., Sodickson, A., Sodickson, D. K., & Otazo, R. (2017). SparseCT: Interrupted-beam acquisition and sparse reconstruction for radiation dose reduction. In T. G. Schmidt, J. Y. Lo, & T. G. Flohr (Eds.), Medical Imaging 2017: Physics of Medical Imaging [101320Q] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132). SPIE. https://doi.org/10.1117/12.2255522