• DocumentCode
    1558705
  • Title

    A bending energy model for measurement of cardiac shape deformity

  • Author

    Duncan, James S. ; Lee, Forrester A. ; Smeulders, Arnold W M ; Zaret, Barry L.

  • Author_Institution
    Yale Univ., New Haven, CT, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    307
  • Lastpage
    320
  • Abstract
    An approach to analyzing and quantifying the shape characteristics of the endocardial contour of the left ventricle of the heart is described. The computation begins by finding the local curvature differences between the contour under consideration and the mean normal contour at each of 100 equidistant points. The weighted square of these differences, summed over a set of points, is shown to be the regional or, global bending energy required to deform the mean normal contour to the characteristic shape of the analyzed contour. Resampling, smoothing and curvature computation issues are considered for the image-derived digital contours that are used in the analysis. Experiments were performed on artificial contour data and data derived from contrast ventriculographic (CV) studies of humans. It is also shown that the method has been adapted to measure endocardial shape form equilibrium radionuclide angiocardiography
  • Keywords
    biomechanics; cardiology; physiological models; bending energy model; cardiac shape deformity measurement; contrast ventriculography; curvature computation; endocardial contour characteristics; equidistant points; equilibrium radionuclide angiocardiography; global bending energy; heart; image-derived digital contours; left ventricle; regional bending energy; resampling; smoothing; weighted square; Biomedical imaging; Computed tomography; Deformable models; Energy measurement; Heart; Humans; Image analysis; Magnetic resonance imaging; Medical diagnostic imaging; Shape measurement;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.97580
  • Filename
    97580