Speckle Tracking in Intracardiac Echocardiography for the Assessment of Myocardial Deformation
Copyright policy )Speckle Tracking in Intracardiac Echocardiography for the Assessment of Myocardial Deformation
Intracardiac echocardiography (ICE) has proven to be useful for online anatomical imaging during catheterization. Our objective was to develop a speckle tracking method for myocardial motion estimation from ICE image sequences in order to provide a mean for regional functional imaging. Our approach was to solve two problems in motion estimation from 2-D ICE image sequences: nonrigid myocardial deformation and speckle decorrelation. To achieve robust noise resistance, we employed maximum likelihood estimation while fully exploiting ultrasound speckle statistics, and treated the maximization of motion probability as the minimization of an energy function. Nonrigid myocardial deformation was estimated by optimizing this energy function within a framework of parametric elastic registration. Evaluation of the method was carried out using a computer model that synthesized echocardiographic image sequences, and subsequently an animal model that provided continuous ICE images as well as reference measurements using sonomicrometry crystals. In conclusion, accurate estimation of regional myocardial deformation from ICE by novel speckle tracking is feasible. This approach may have important clinical implications for multimodal imaging during catheterization.
- Rice University United States
- Cornell University United States
- Dignity Health United States
- University of Bedfordshire United Kingdom
- Methodist Hospital United States
elastic registration, Models, Statistical, Myocardium, Models, Cardiovascular, sonomicrometry, Reproducibility of Results, Heart, Signal Processing, Computer-Assisted, cardiac imaging, Electrocardiography, Dogs, Echocardiography, Models, Animal, myocardial strain, Animals, Elasticity Imaging Techniques, non-rigid deformation, Computer Simulation, Electrophysiologic Techniques, Cardiac, Algorithms
elastic registration, Models, Statistical, Myocardium, Models, Cardiovascular, sonomicrometry, Reproducibility of Results, Heart, Signal Processing, Computer-Assisted, cardiac imaging, Electrocardiography, Dogs, Echocardiography, Models, Animal, myocardial strain, Animals, Elasticity Imaging Techniques, non-rigid deformation, Computer Simulation, Electrophysiologic Techniques, Cardiac, Algorithms
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!