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dc.contributor.authorCaenen, Annette
dc.contributor.authorPernot, Mathieu
dc.contributor.authorEkroll, Ingvild Kinn
dc.contributor.authorShcherbakova, Darya
dc.contributor.authorMertens, Luc
dc.contributor.authorSwillens, Abigail Emily
dc.contributor.authorSegers, Patrick
dc.identifier.citationApplied Sciences. 2017, 7(8).nb_NO
dc.description.abstractPlane wave imaging in Shear Wave Elastography (SWE) captures shear wave propagation in real-time at ultrafast frame rates. To assess the capability of this technique in accurately visualizing the underlying shear wave mechanics, this work presents a multiphysics modeling approach providing access to the true biomechanical wave propagation behind the virtual image. This methodology was applied to a pediatric ventricular model, a setting shown to induce complex shear wave propagation due to geometry. Phantom experiments are conducted in support of the simulations. The model revealed that plane wave imaging altered the visualization of the shear wave pattern in the time (broadened front and negatively biased velocity estimates) and frequency domain (shifted and/or decreased signal frequency content). Furthermore, coherent plane wave compounding (effective frame rate of 2.3 kHz) altered the visual appearance of shear wave dispersion in both the experiment and model. This mainly affected stiffness characterization based on group speed, whereas phase velocity analysis provided a more accurate and robust stiffness estimate independent of the use of the compounding technique. This paper thus presents a versatile and flexible simulation environment to identify potential pitfalls in accurately capturing shear wave propagation in dispersive settings.nb_NO
dc.publisherMDPI AGnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleEffect of Ultrafast Imaging on Shear Wave Visualization and Characterization: An Experimental and Computational Study in a Pediatric Ventricular Modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalApplied Sciencesnb_NO
dc.description.localcode© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal