• DocumentCode
    2429173
  • Title

    Longitudinal strain estimation in incompressible cylindrical tissues from magnetic resonance imaging

  • Author

    Wei, Qi ; Pai, Dinesh K.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    7159
  • Lastpage
    7163
  • Abstract
    In this paper, we present a simple approach for estimating the average longitudinal strains from models reconstructed from medical images. It can be used for many incompressible generalized cylindrical tissues, such as tendons, ligaments, and fusiform muscles; the major deformation directions of these soft tissues are along the longitudinal axes. The method is especially useful when pre- and post-deformation tissue correspondences are difficult to establish directly from images for various reasons, such as insufficient image resolution, homogenous image intensity, and noise. Incompressibility, which is accepted as a good approximation for soft tissues, is exploited as a constraint on the tissue deformation. Experiments with Magnetic Resonance Imaging (MRI) of tissue phantoms and computer simulations show that the method is accurate and practical even in the presence of noise. Finally, we demonstrate the usefulness of our approach on studying extraocular muscle deformation.
  • Keywords
    biomechanics; biomedical MRI; deformation; image reconstruction; medical image processing; muscle; extraocular muscle deformation; fusiform muscles; image reconstruction; incompressible cylindrical tissues; ligaments; longitudinal strain estimation; magnetic resonance imaging; medical image processing; tendons; tissue deformation; tissue phantoms; Algorithms; Biomechanics; Biomedical Engineering; Computer Simulation; Humans; Magnetic Resonance Imaging; Models, Biological; Oculomotor Muscles; Phantoms, Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5335349
  • Filename
    5335349