Preliminary Validation of Angle-Independent Myocardial Elastography Using MR Tagging in a Clinical Setting

Wei Ning Lee, Zhen Qian, Christina L. Tosti, Truman R. Brown, Dimitris N. Metaxas, Elisa E. Konofagou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Myocardial elastography (ME), a radio-frequency (RF) based speckle tracking technique, was employed in order to image the entire two-dimensional (2D) transmural deformation field in full echocardiographic views and was validated against tagged magnetic resonance imaging (tMRI) in normal as well as reperfused (i.e., treated myocardial infarction [MI]) human left ventricles. RF ultrasound and tMRI frames were acquired at the papillary muscle level in 2D short-axis (SA) views at the frame rates of 136 (fps; real-time) and 33 fps (electrocardiogram [ECG]-gated), respectively. In ME, in-plane, 2D (lateral and axial) incremental displacements were iteratively estimated using one-dimensional (1D) cross-correlation and recorrelation techniques in a 2D search with a 1D matching kernel. In tMRI, cardiac motion was estimated by a template-matching algorithm on a 2D grid-shaped mesh. In both ME and tMRI, cumulative 2D displacements were obtained and then used to estimate 2D Lagrangian finite systolic strains, from which polar (i.e., radial and circumferential) strains, namely angle-independent measures, were further obtained through coordinate transformation. Principal strains, which are angle-independent and less centroid-dependent than polar strains, were also computed and imaged based on the 2D finite strains using methodology previously established. Both qualitatively and quantitatively, angle-independent ME is shown to be capable of (1) estimating myocardial deformation in good agreement with tMRI estimates in a clinical setting and of (2) differentiating abnormal from normal myocardium in a full left-ventricular view. The principal strains were concluded to be a potential diagnostic measure for detection of cardiac disease with reduced centroid dependence. (E-mail: ek2191@columbia.edu).

Original languageEnglish (US)
Pages (from-to)1980-1997
Number of pages18
JournalUltrasound in Medicine and Biology
Volume34
Issue number12
DOIs
StatePublished - Dec 2008

Keywords

  • Cardiac
  • Circumferential
  • Cross-correlation
  • Cumulative
  • Elastography
  • Incremental
  • Infarct
  • Magnetic resonance imaging (MRI)
  • Myocardial
  • Principal
  • Radial
  • Radio-frequency (RF)
  • Recorrelation
  • Strain
  • Strain Imaging
  • Tagging

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

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