A combined shape and speckle tracking approach in 4D echocardiography correlated better with magnetic resonance tagging-derived strains than either individual method in an animal model.
Does a combined shape and speckle tracking approach using radial basis functions improve correlation with MRI tagging-derived strains in open-chest canines?
A novel radial basis function approach combining shape and speckle tracking in 4D echocardiography improves strain estimation compared to individual methods in a canine model.
Quantitative analysis of left ventricular deformation can provide valuable information about the extent of disease as well as the efficacy of treatment. In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Our method combines displacement information from shape tracking of myocardial boundaries (derived from B-mode data) with mid-wall displacements from radio-frequency-based ultrasound speckle tracking. We evaluate our methods on open-chest canines (N=8) and show that our combined approach is better correlated to magnetic resonance tagging-derived strains than either individual method. We also are able to identify regions of myocardial infarction (confirmed by postmortem analysis) using radial strain values obtained with our approach.
Compas et al. (Thu,) conducted a other in Left ventricular deformation / Myocardial infarction (n=8). Combined shape and speckle tracking using radial basis functions in 4D echocardiography vs. Individual methods (shape tracking alone or speckle tracking alone) was evaluated on Correlation to magnetic resonance tagging-derived strains. A combined shape and speckle tracking approach in 4D echocardiography correlated better with magnetic resonance tagging-derived strains than either individual method in an animal model.