• DocumentCode
    3175499
  • Title

    Automatic detection of vessel wall contours from cine-MRI for aortic compliance determination

  • Author

    Rose, Jl ; Lalande, A. ; Bourennane, E. ; Walker, Pm ; Bouchot, O. ; Steinmetz, E. ; Legrand, L. ; Voisin, Y. ; Wol, Je ; Brunotte, F.

  • Author_Institution
    Lab. de Biophys., Bourgogne Univ.
  • fYear
    2005
  • fDate
    25-28 Sept. 2005
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    The aortic compliance is defined as the relative change of aortic cross-sectional area divided by the change in arterial pressure. Magnetic resonance imaging (MRI) can be used to evaluate aortic compliance. A knowledge of the aortic contour is essential to determine the aortic area. To prevent important intra-and inter-observer variability, the aortic contours are detected automatically. This work consists in extracting automatically the aortic contour at different phases of the cardiac cycle. An automatic edge detection making use of a Haralick filter and graph searching allows the estimation of aortic cross-sectional area on MR images, from which the aortic compliance is derived
  • Keywords
    biomechanics; biomedical MRI; blood vessels; cardiovascular system; edge detection; graph theory; medical image processing; Haralick filter; aortic compliance determination; aortic cross-sectional area; arterial pressure; automatic edge detection; automatic vessel wall contour detection; cardiac cycle; cine-MRI; graph searching; magnetic resonance imaging; Bifurcation; Biomedical imaging; Blood pressure; Brachytherapy; Cardiology; Filters; Image edge detection; Image sequences; Magnetic resonance; Magnetic resonance imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2005
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7803-9337-6
  • Type

    conf

  • DOI
    10.1109/CIC.2005.1588124
  • Filename
    1588124