• DocumentCode
    3667858
  • Title

    Inter-subject variability of respiratory motion from 4D MRI

  • Author

    Ashrani Aizzuddin Abd. Rahni;Emma Lewis;Kevin Wells

  • Author_Institution
    Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    Respiratory motion affects image acquisition and also external beam radiotherapy (EBRT) treatment planning and delivery. Existing approaches for respiratory motion management are often based on a generic view of respiratory motion such as the general movement of organ, tissue or fiducials. This paper aims to present a more in depth analysis of respiratory motion based on 4D MRI, which can then be integrated into motion correction approaches in image acquisition or image based EBRT. In this paper we analyse the respiratory motion of organs for five volunteers on a per-organ basis, separately for each volunteer and together comparatively. We also compare with a separate study of respiratory motion for 20 patients. The motion extracted from 4D MRI on general was found to be consistent with what has been reported in literature and a similar process can be used in future to extract and quantify respiratory motion on a larger dataset.
  • Keywords
    "Magnetic resonance imaging","Computed tomography","Motion segmentation","Lungs","Image segmentation","Liver"
  • Publisher
    ieee
  • Conference_Titel
    BioSignal Analysis, Processing and Systems (ICBAPS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICBAPS.2015.7292225
  • Filename
    7292225