• DocumentCode
    2567006
  • Title

    Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling

  • Author

    Wang, V.Y. ; Casta, C. ; Croisille, P. ; Clarysse, P. ; Zhu, Y.-M. ; Cowan, B.R. ; Young, A.A. ; Nash, M.P.

  • Author_Institution
    Auckland Bioeng. Inst., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    46
  • Lastpage
    49
  • Abstract
    In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion from tagged MRI. This combination enables the estimation of fibre strain and its variation throughout the cardiac cycle. The long-term goal of this study is to apply this technique to an atlas of human fibre orientations and to investigate the importance of having subject-specific fibre orientation for fibre strain analysis.
  • Keywords
    biodiffusion; biomedical MRI; cardiology; finite element analysis; medical image processing; physiological models; 3D-time maps; FE modelling; cardiac cycle; dynamic MRI data; ex vivo human diffusion tensor MRI acquisition; ex vivo human diffusion tensor MRI motion; fibre principal direction; fibre strain analysis; finite element model; human fibre orientations; human structural data; in vivo human myocardial fibre strain estimation; left ventricular fibre strain; subject-specific fibre orientation; tagged MRI; Data models; Humans; In vivo; Iron; Magnetic resonance imaging; Myocardium; Strain; Diffusion Tensor MRI; FE modelling; Human cardiac fibre strain; tagged MRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235480
  • Filename
    6235480