Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy

Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations


    Respiratory motion is a significant source of error in conformal radiation therapy for the thorax and upper abdomen. Four-dimensional computed tomography (4D CT) has been proposed to reduce the uncertainty caused by internal respiratory organ motion. A 4D CT dataset is retrospectively reconstructed at various stages of a respiratory cycle. An important tool for 4D treatment planning is deformable image registration. An inverse consistent image registration is used to model lung motion from one respiratory stage to another during a breathing cycle. This diffeomorphic registration jointly estimates the forward and reverse transformations providing more accurate correspondence between two images. Registration results and modeled motions in the lung are shown for three example respiratory stages. The results demonstrate that the consistent image registration satisfactorily models the large motions in the lung, providing a useful tool for 4D planning and delivering.

    Original languageEnglish
    Title of host publicationMedical Imaging 2006
    Subtitle of host publicationImage Processing
    StatePublished - Jun 22 2006
    EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
    Duration: Feb 13 2006Feb 16 2006

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume6144 II
    ISSN (Print)1605-7422


    ConferenceMedical Imaging 2006: Image Processing
    Country/TerritoryUnited States
    CitySan Diego, CA


    • 4D CT
    • Consistent image registration
    • Lung
    • Radiation therapy
    • Respiratory motion


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