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Title: Elastic image registration versus speckle tracking for 2D myocardial motion estimation: a direct comparison in-vivo
Authors: Heyde, Brecht ×
Jasaityte, Ruta
Barbosa, Daniel
Robesyn, Valérie
Bouchez, Stefaan
Wouters, Patrick
Maes, Frederik
Claus, Piet
D'hooge, Jan #
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Series Title: IEEE Transactions on Medical Imaging vol:32 issue:2 pages:449-459
Abstract: Despite the availability of multiple solutions for assessing myocardial strain by ultrasound, little is currently known about the relative performance of the different methods. In this study, we sought to contrast two strain estimation techniques directly (speckle tracking and elastic registration) in an in-vivo setting by comparing both to a gold standard reference measurement. In five open-chest sheep instrumented with ultrasonic microcrystals, 2D images were acquired with a GE Vivid7 ultrasound system. Radial (eRR), longitudinal (eLL) and circumferential strain (eCC) were estimated during four inotropic stages: at rest, during esmolol and dobutamine infusion, and during acute ischemia. The correlation of the end-systolic strain values of a well-validated speckle tracking approach and an elastic registration method against sonomicrometry were comparable for eLL (r=0.70 vs. r=0.61 respectively; p=0.32) and eCC (r=0.73 vs. r=0.80 resp; p=0.31). However, the elastic registration method performed considerably better for eRR (r=0.64 vs. r=0.85 resp; p=0.09). Moreover, the bias and limits of agreement with respect to the reference strain estimates were statistically significantly smaller in this direction (p<0.001). This could be related to regularisation which is imposed during the motion estimation process as opposed to an a-posteriori regularisation step in the speckle tracking method. Whether one method outperforms the other in detecting dysfunctional regions remains the topic of future research.
ISSN: 0278-0062
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
Cardiovascular Imaging and Dynamics
× corresponding author
# (joint) last author

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