• DocumentCode
    2488343
  • Title

    Quantitative abdominal fat estimation using MRI

  • Author

    Leinhard, O. Dahlqvist ; Johansson, A. ; Rydell, J. ; Smedby, Ö ; NystrÖm, F. ; Lundberg, P. ; Borga, M.

  • Author_Institution
    Dept. of Med. & Health Sci., Linkoping Univ., Linkoping
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper introduces a new method for automatic quantification of subcutaneous, visceral and non-visceral internal fat from MR-images acquired using the two point Dixon technique in the abdominal region. The method includes (1) a three dimensional phase unwrapping to provide water and fat images, (2) an image intensity inhomogeneity correction, and (3) a morphon based registration and segmentation of the tissue. This is followed by an integration of the corrected fat images within the different fat compartments that avoids the partial volume effects associated with traditional fat segmentation methods. The method was tested on 18 subjects before and after a period of fast-food hyper-alimentation showing high stability and performance in all analysis steps.
  • Keywords
    biological tissues; biomedical MRI; fats; image registration; image segmentation; medical image processing; 3D phase unwrapping; MRI image; image intensity inhomogeneity correction; morphon based registration; quantitative abdominal fat estimation; tissue image segmentation; two point Dixon technique; Abdomen; Biomedical engineering; Biomedical imaging; Data acquisition; Image segmentation; Magnetic resonance imaging; Performance analysis; Stability analysis; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761764
  • Filename
    4761764