• DocumentCode
    617440
  • Title

    Strain rate tensor estimation from echocardiography for quantitative assessment of functional mitral regurgitation

  • Author

    Curiale, A.H. ; Vegas-Sanchez-Ferrero, Gonzalo ; Perez-Sanz, T. ; Aja-Fernandez, Santiago

  • Author_Institution
    LPI, Univ. de Valladolid, Valladolid, Spain
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    788
  • Lastpage
    791
  • Abstract
    Functional mitral regurgitation is a cardiac dysfunction that implies abnormal activity of normal leaflets in the context of impaired ventricular function. In echocardiography, it is usually described by geometric features and functional behavior. However, the usual measures do not take into account other mechanical properties such as the deformation of the myocardium. In this work we propose some mechanical features based on the strain tensor to better describe the functional mitral regurgitation. We also propose an automatic pipeline to extract the different measures from 3D ultrasound data. A pattern recognition approach is done to study the discriminant power of the proposed features. Results show a better performance of some of the features derived from the strain rate tensor compared to the effective regurgitant orifice area and the geometric features.
  • Keywords
    biomechanics; deformation; echocardiography; medical disorders; medical image processing; pattern recognition; tensors; ultrasonic imaging; 3D ultrasound data; abnormal activity; automatic pipeline; cardiac dysfunction; deformation; echocardiography; functional mitral regurgitation; geometric features; impaired ventricular function; mechanical properties; myocardium; normal leaflets; orifice area; pattern recognition approach; quantitative assessment; strain rate tensor estimation; Echocardiography; Heart; Magnetic resonance; Myocardium; Strain; Tensile stress; Ultrasonic variables measurement; 3-D Echocardiography; Mitral Regurgitation; Strain Tensor; registration; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556593
  • Filename
    6556593