• DocumentCode
    594675
  • Title

    An efficient, bolus-stage based method for motion correction in perfusion weighted MRI

  • Author

    Gautam, Ruchita ; Sivaswamy, Jayanthi ; Varma, R.

  • Author_Institution
    CVIT, IIIT Hyderabad, Hyderabad, India
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    This paper addresses the data corruption that occurs due to patient motion during a scan which is particularly a problem in perfusion weighted MRI due to long scan times. Motion correction is typically the rate-limiting step in processing as each volume has to be registered to a reference volume. This is compounded by the dynamically varying contrast in the volume series due to passage of an injected contrast agent. We propose an efficient two stage motion correction method, consisting of motion detection and a 2-pass registration method for aligning the motion-corrupted volumes. A 2D block-wise phase correlation in central slices is used for the first stage. Alignment employs a strategy which is sensitive to the status of the bolus in the volume and is based on gamma-variate function fitting for intensity correction to handle dynamic contrast in DSC-MRI. Evaluation of the approach shows that it is fast and accurate.
  • Keywords
    biomedical MRI; correlation methods; image motion analysis; image registration; medical image processing; 2-pass registration method; 2D block-wise phase correlation; bolus-stage based method; data corruption; dynamic contrast handling; dynamic susceptibility contrast-MRI; gamma-variate function; motion detection; motion-corrupted volume alignment; patient motion; perfusion weighted MRI; rate-limiting step; two stage motion correction method; Correlation; Diseases; Dynamics; Magnetic resonance imaging; Motion detection; Time series analysis; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460093