Myocardial elastography - comparison to results using MR cardiac tagging

Konofagou, Elisa E.; Manning, Warren J.; Kissinger, Kraig V.; Solomon, Steve

doi:10.1109/ultsym.2003.1293371

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…In addition, their estimated systolic strains were defined as the percent change of the segment length, while the actual Lagrangian normal strain component includes the second order of the shear components. Konofagou et al (2003) showed that axial displacement (r=0.81) and strain (r=0.65) estimated from B-mode based myocardial elastography were well correlated with those from 1D MR tagging in the septum in an apical four-chamber view of human left ventricles. Only the axial estimates, which coincided with the beam direction and were displayed in an M-mode format, were shown.…”

Section: Introductionmentioning

confidence: 86%

“…Several previous studies have compared the estimates from echocardiography with those from tMRI (Edvardsen et al 2002, Konofagou et al 2003, Helle-Valle et al 2005, Notomi et al 2005, Amundsen et al 2006). Edvardsen et al (2002) first validated echocardiographic strains using Tissue Doppler against MRI tagging and showed high correlation for radial strains (r=0.96) between the two modalities.…”

Section: Introductionmentioning

confidence: 99%

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

Lee¹,

Qian²,

Tosti³

et al. 2008

Ultrasound in Medicine & Biology

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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 view, and 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 nominal frame rates of 136 (fps; real time) and 33 fps (electrocardiogram (ECG)-gated), respectively. In ultrasound, 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 estimated 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 with a previously established strategy. 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. Finally, the principal strains are suggested to be an alternative diagnostic tool of detecting cardiac disease with the characteristics of their reduced centroid dependence.

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Section: Introductionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

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

Lee¹,

Qian²,

Tosti³

et al. 2008

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

show abstract

“…However, this study employed envelope-detected (B-mode) data to estimate the axial displacements and hence has lower precision and resolution compared to the use of RF signals. Another comparison study also indicated that myocardial elastography could offer comparable quality estimates to those obtained with MR cardiac tagging; with the added advantage of higher temporal and spatial resolution [10]. In addition to axial displacements and strains, myocardial elastography can obtain lateral displacements and strains [6], [11].…”

Section: Introductionmentioning

confidence: 99%

Detection of murine infarcts using myocardial elastography at both high temporal and spatial resolution

Luo¹,

Fujikura²,

Konofagou³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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Myocardial elastography is a novel method for noninvasively assessing regional myocardial function, with the advantages of high spatial/temporal resolution, high signal-to-noise ratio and angle-independence. In this paper, in vivo experiments were performed in anesthetized normal and infarcted mice using a high-resolution ultrasound system. Radio-frequency signals were acquired at a high frame rate (up to 8000 Hz) and used to estimate the incremental axial displacements and strains of myocardium. The incremental results were further used to calculate the cumulative displacements and strains. Two-dimensional displacement and strain images (elastograms), M-mode displacement and strain images as well as displacement and strain profiles as a function of time clearly indicated the contraction and relaxation, thickening and thinning of myocardium and demonstrated the lower motion and deformation of infarcted myocardium. The cumulative displacement and strain were less noisy than incremental images, and the cumulative strain images show the highest contrast between non-infarcted and infarcted myocardia. Finally, preliminary statistical results from nine non-infarcted mice and seven infarcted mice indicated that cumulative strain can be used to differentiate infarcted myocardium from non-infarcted myocardium. In conclusion, myocardial elastography can provide strain information at both high temporal and spatial resolution, and is capable of accurately characterizing normal myocardial function as well as detecting and localizing early myocardial infarction in vivo.

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Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow

Duan

Angelini

Herz

et al. 2005

Functional Imaging and Modeling of the Heart

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A correlation-based optical flow (OF) method was evaluated on RT3D ultrasound for tracking of the LV endocardial surface defined at ED via manual tracing or segmentation with the QLAB© software from Philips Medical System. Quantitative evaluation showed promising ability of OF tracking to follow the endocardial surface on open-chest and clinical data sets. Combined with epicardium tracking and radial basis function interpolation, dense-field myocardial motion was recovered, and analyzed for dynamic cardiac information. This study provided encouraging results regarding OF performance to accurately track LV surfaces, yield dynamic information from RT3D ultrasound, and provide automated dynamic interpolation of segmented endocardial surfaces. As a semi-automated method, OF based surface tracking can minimize tedious human intervention for ventricular motion analysis.

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Myocardial elastography - comparison to results using MR cardiac tagging

Cited by 8 publications

References 2 publications

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

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

Detection of murine infarcts using myocardial elastography at both high temporal and spatial resolution

Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow

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