• DocumentCode
    122870
  • Title

    Performance of Optical Flow tracking approaches for cardiac motion analysis

  • Author

    Hassanein, Azza S. ; Khalifa, Ayman M. ; Al-Atabany, Walid ; El-Wakad, Mohamed T.

  • Author_Institution
    Helwan Univ., Cairo, Egypt
  • fYear
    2014
  • fDate
    17-20 Feb. 2014
  • Firstpage
    143
  • Lastpage
    146
  • Abstract
    Tagging Magnetic Resonance Imaging (MRI) sequence is used for evaluating Left Ventricular contractility. In this technique, a pattern of spatially varying magnetism is applied at the end diastole. Analyzing the deformation of tag pattern during the cardiac cycle has wide applications for cardiac deformation analysis. Noninvasive myocardial tagging in MRI has shown great potential in measuring and studying the motion of the heart. This paper presents a mathematical model that simulates the real cardiac motion during myocardial tagging. We synthesized both the Spatial Modulation of Magnetization (SPAMM) and complementary Spatial Modulation of Magnetization (CSPAMM) tag patterns with arbitrary spatial frequency. Using this model, we tested the performance and limitations of different Optical Flow (OF) motion tracking techniques and compared them with the performance of Harmonic Phase (HARP) analysis technique. The results exhibit that the OF tracking accuracy differs from point to another with a noticeable over estimation at the end of systole. Also OF is performing better than HARP at the heart borders.
  • Keywords
    biomechanics; biomedical MRI; cardiovascular system; deformation; diseases; image sequences; magnetisation; medical image processing; physiological models; CSPAMM tag patterns; HARP analysis technique; MRI sequence; arbitrary spatial frequency; cardiac cycle; cardiac deformation analysis; cardiac motion analysis; complementary spatial modulation of magnetization tag patterns; end diastole; end systole; harmonic phase analysis technique; heart motion; left ventricular contractility; magnetic resonance imaging sequence; mathematical model; noninvasive myocardial tagging; optical flow motion tracking techniques; spatial varying magnetism; Computer vision; Image motion analysis; Magnetic resonance imaging; Myocardium; Optical filters; Optical imaging; Strain; cardiac motion analysis; optical flow; tagging CMR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (MECBME), 2014 Middle East Conference on
  • Conference_Location
    Doha
  • Type

    conf

  • DOI
    10.1109/MECBME.2014.6783226
  • Filename
    6783226