• DocumentCode
    2082073
  • Title

    Hyperpolarized 3He magnetic resonance pulmonary imaging: Image processing tools for clinical research

  • Author

    Mathew, Lindsay ; Wheatley, Andrew ; Mccormack, David G. ; Parraga, Grace

  • Author_Institution
    Imaging Res. Labs., Robarts Res. Inst., London, ON
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    1086
  • Lastpage
    1089
  • Abstract
    Hyperpolarized 3He magnetic resonance imaging has emerged as an in vivo imaging pulmonary research tool. It is unique among imaging methods in that it provides simultaneous lung structural and functional information at high resolution without the use of ionizing radiation, and thus is ideally suited for intensive serial longitudinal studies and for examining treatment effects. Despite the great promise of the method, currently, non-quantitative image analysis tools continue to be utilized for the analysis of functional images obtained from 3He MRI. In order for the translation of 3He MRI to clinical research, quantitative and precise image analysis tools are required. Thus, image processing tools for rigid and non-rigid registration, signal normalization and image subtraction are under development and being validated for the sensitive and specific measurement of airway and airspace changes in 3He MR image datasets.
  • Keywords
    biomagnetism; biomedical MRI; image registration; image segmentation; lung; medical image processing; hyperpolarized 3He magnetic resonance pulmonary imaging; image analysis tools; image processing; image registration; image segmentation; in vivo imaging pulmonary research tool; Helium; High-resolution imaging; Image analysis; Image processing; Image resolution; In vivo; Ionizing radiation; Lungs; Magnetic resonance imaging; Signal processing; Image analysis; image processing; image registration; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074580
  • Filename
    5074580