• DocumentCode
    240991
  • Title

    Estimation of Eulerian strain from tagged MRI using Optical flow

  • Author

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

  • Author_Institution
    Biomed. Eng. Dept., Helwan Univ., Cairo, Egypt
  • fYear
    2014
  • fDate
    11-13 Dec. 2014
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    Cardiac magnetic resonance imaging (MRI) is considered as noninvasive imaging modalities provide information on myocardial function, viability, and morphology. One of the most common MRI techniques is tagging MRI, based on this technique the deformation of the myocardium can be evaluated and some of cardiac functions can be examined. The strain of cardiac muscle one of the parameters estimated based on the estimated deformation, this estimated strain help in the examination of myocardium viability. This paper presents a mathematical model that simulates the real cardiac motion during myocardial tagging. Using this model and real data, we estimate the circumferential strain using strain tensor with Band-pass Optical flow (BPOF) technique and compare it with the estimated strain of Harmonic Phase (HARP as a golden standard technique. The results exhibit that the stain can be estimated using BPOF method with the same level of accuracy compared to HARP method, however, BPPOF provides more reliable results than HARP, with no tracking errors, at the myocardial boundaries.
  • Keywords
    biomechanics; biomedical MRI; cardiology; deformation; edge detection; image motion analysis; image sequences; mathematical analysis; medical image processing; muscle; object tracking; parameter estimation; physiological models; tensors; BPOF technique; Eulerian strain estimation; HARP strain estimation; band-pass optical flow technique; cardiac MRI; cardiac function; cardiac magnetic resonance imaging; cardiac muscle strain estimation; circumferential strain estimation; deformation estimation; harmonic phase strain estimation; mathematical model; myocardial boundary tracking error; myocardial function; myocardial morphology; myocardial tagging; myocardial viability; myocardium deformation evaluation; noninvasive imaging modality; parameter estimation; real cardiac motion simulation; stain estimation accuracy; stain estimation reliability; strain tensor; tagged MRI; Band-pass filters; Magnetic resonance imaging; Phantoms; cardiac motion analysis; optical flow; tagging CMR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (CIBEC), 2014 Cairo International
  • Conference_Location
    Giza
  • ISSN
    2156-6097
  • Print_ISBN
    978-1-4799-4413-2
  • Type

    conf

  • DOI
    10.1109/CIBEC.2014.7020916
  • Filename
    7020916