2016
DOI: 10.1016/j.jbiomech.2016.04.038
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In-vivo heterogeneous functional and residual strains in human aortic valve leaflets

Abstract: Residual and physiological functional strains in soft tissues are known to play an important role in modulating organ stress distributions. Yet, no known comprehensive information on residual strains exist, or non-invasive techniques to quantify in-vivo deformations for the aortic valve (AV) leaflets. Herein we present a completely non-invasive approach for determining heterogeneous strains – both functional and residual – in semilunar valves and apply it to normal human AV leaflets. Transesophageal 3D echocar… Show more

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Cited by 35 publications
(20 citation statements)
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References 35 publications
(50 reference statements)
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“…7) using our final transmurally varying parameters (Fig. 3a and 4) at a circumferential and radial stretch of 1.1 and 1.7 respectively, which corresponds to an approximate end-diastolic state in the leaflet’s belly region (Aggarwal et al, 2016). Our results show significant transmural variation in both the circumferential and radial components of the resulting Cauchy stress tensor (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…7) using our final transmurally varying parameters (Fig. 3a and 4) at a circumferential and radial stretch of 1.1 and 1.7 respectively, which corresponds to an approximate end-diastolic state in the leaflet’s belly region (Aggarwal et al, 2016). Our results show significant transmural variation in both the circumferential and radial components of the resulting Cauchy stress tensor (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Note that the fibrosa flattens from its initially wrinkled state radially following layer separation (Sacks et al, 1998; Stella and Sacks, 2007; Vesely and Lozon, 1993; Vesely and Noseworthy, 1992). As it is actually now known to be under substantial pre-stretch in vivo (Aggarwal et al, 2016), the fibrosa will be largely smooth in-vivo. Because this deformation is non-planar and thus cannot be precisely quantified through 2D fiducial marker tracking, we did not examine the response of individual fibrosa specimens.…”
Section: Methodsmentioning
confidence: 99%
“…Second, we did not implement prestretch, which is known to significantly influence tissue mechanics 47 . To the best of our knowledge, the only data on aortic and pulmonary leaflet prestretch has recently been obtained from valves from elderly patients (average age 63 yr) who underwent heart transplantation 48 . We used these novel findings in the generation of the leaflet geometry to ensure an appropriate circumferential-radial leaflet length ratio of 2 according to Fig.…”
Section: Discussionmentioning
confidence: 99%
“…To avoid the drawbacks of marker-based approaches, there have been some attempts to develop markerless methods to extract strains directly from images, using diffeomorphic tracking in conjunction with spline-based morphing. [49][50][51] These approaches have worked well when applied to geometrically tractable cardiovascular structures, such as the left ventricle and the aortic valve. The MV, however, has a significantly more complex shape, and correspondent landmark locations are insufficient and difficult to identify throughout the cardiac cycle.…”
Section: Current Approaches For Quantifying MV Leaflet Strains In Vivomentioning
confidence: 99%
“…While these breakthroughs have provided valuable insights into the effect of patient‐specific geometry and annuloplasty ring shape on repair success, there currently exists no reliable method to noninvasively extract the critical local strain information from clinically obtained in vivo images of the MV. To avoid the drawbacks of marker‐based approaches, there have been some attempts to develop markerless methods to extract strains directly from images, using diffeomorphic tracking in conjunction with spline‐based morphing . These approaches have worked well when applied to geometrically tractable cardiovascular structures, such as the left ventricle and the aortic valve.…”
Section: Introductionmentioning
confidence: 99%