• DocumentCode
    2520154
  • Title

    Validation of myocardial elastography using MR tagging in normal and abnormal human hearts in vivo

  • Author

    Lee, Wei-Ning ; Qian, Zhen ; Tosti, Christina L. ; Swaminathan, Srirama V. ; Brown, Truman R. ; Metaxas, Dimitris N. ; Konofagou, Elisa E.

  • Author_Institution
    Dept. of Biomed. Eng., Columbia Univ., New York, NY
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    384
  • Lastpage
    387
  • Abstract
    In this paper, myocardial elastography (ME), a radio-frequency (RF) based speckle tracking technique, was employed in order to assess the contractility of a myocardium, and validated against tagged magnetic resonance imaging (tMRI) in vivo in normal as well as abnormal cases. Both RF ultrasound and tMRI frames were acquired in 2D short-axis (SA) views from two healthy subjects and one with a history of infarction. In-plane (lateral and axial) incremental displacements were iteratively estimated using 1D cross-correlation and recorrelation techniques in a 2D search with a 1D matching kernel. The incremental displacements from end-diastole (ED) to end-systole (ES) were then accumulated to obtain cumulative systolic displacements. In tMRI, cardiac motion was obtained by a template-matching algorithm on a 2D grid-shaped mesh. The entire displacement distribution within the myocardium was obtained by a cubic B-splinebased method. In both ME and tMRI, 2D Lagrangian finite systolic strains were calculated from cumulative 2D displacements. Radial and circumferential strains were then computed from the 2D finite strains. Both qualitatively and quantitatively, ME is shown capable of measuring myocardial deformation in excellent agreement with tMRI estimates in normal and abnormal subjects
  • Keywords
    biomechanics; biomedical MRI; biomedical measurement; correlation methods; deformation; displacement measurement; echocardiography; image matching; medical image processing; mesh generation; speckle; splines (mathematics); tracking; abnormal human heart; cardiac motion; circumferential strain; cubic B-spline based method; cumulative systolic displacements; displacement distribution; echocardiography; end-diastole; end-systole; grid-shaped mesh; in-plane incremental displacements; infarction; iterative estimation; magnetic resonance tagging; myocardial deformation; myocardial elastography; myocardium; myocardium contractility; normal human heart; one-dimensional cross-correlation; one-dimensional matching kernel; one-dimensional recorrelation; radial strain; radiofrequency based speckle tracking; radiofrequency ultrasound; tagged magnetic resonance imaging; template-matching algorithm; two-dimensional Lagrangian finite systolic strains; two-dimensional finite strains; two-dimensional search; two-dimensional short-axis views; Capacitive sensors; Heart; Humans; In vivo; Magnetic resonance imaging; Myocardium; Radio frequency; Speckle; Tagging; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356869
  • Filename
    4193303