2014
DOI: 10.1146/annurev-bioeng-071813-104517
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Computational Modeling of Cardiac Valve Function and Intervention

Abstract: In the past two decades, major advances have been made in the clinical evaluation and treatment of valvular heart disease owing to the advent of noninvasive cardiac imaging modalities. In clinical practice, valvular disease evaluation is typically performed on two-dimensional (2D) images, even though most imaging modalities offer three-dimensional (3D) volumetric, time-resolved data. Such 3D data offer researchers the possibility to reconstruct the 3D geometry of heart valves at a patient-specific level. When … Show more

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Cited by 89 publications
(73 citation statements)
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“…Normal MV function involves a proper, delicate force balance between each of its components throughout the cardiac cycle (Sun et al, 2014). For instance, the chords, which originate from either papillary muscles (on the anterolateral and posterolateral walls) or multiple small muscle bundles attaching to the ventricular wall and insert into the ventricular side of the leaflets, prevent the leaflets from billowing into the left atrium during systole (Sun et al, 2014). …”
Section: Introductionmentioning
confidence: 99%
“…Normal MV function involves a proper, delicate force balance between each of its components throughout the cardiac cycle (Sun et al, 2014). For instance, the chords, which originate from either papillary muscles (on the anterolateral and posterolateral walls) or multiple small muscle bundles attaching to the ventricular wall and insert into the ventricular side of the leaflets, prevent the leaflets from billowing into the left atrium during systole (Sun et al, 2014). …”
Section: Introductionmentioning
confidence: 99%
“…These computational models used a quasi-static approach to simulate valve closure, by applying a static and a uniformly distributed transvalvular pressure directly to the leaflet surface. The 'water hammer' effect caused by dynamic blood flow induced loading of the leaflet cannot be reproduced using a quasi-static method and as a result peak stresses may be underestimated compared to dynamic models [13]. Additionally, assuming a uniformly distributed transvalvular pressure boundary condition may underestimate the impact of stent distortion on leaflet closing mechanics.…”
Section: Introductionmentioning
confidence: 99%
“…17, 26, 34 In the past several years, significant improvements have been made in MV model fidelity, largely due to advances in imaging technology, segmentation methods, and computational power. 26 Models now aim to simulate MV function with more complex, patient/subject-specific MV geometries in which the finer details and features of the MV are captured.…”
Section: Introductionmentioning
confidence: 99%
“…17, 26, 34 In the past several years, significant improvements have been made in MV model fidelity, largely due to advances in imaging technology, segmentation methods, and computational power. 26 Models now aim to simulate MV function with more complex, patient/subject-specific MV geometries in which the finer details and features of the MV are captured. 19, 26, 29 Clinical imaging (3D gated ultrasound, multi-slice computed tomography and magnetic resonance imaging) has been the widely used method of choice for obtaining the patient geometries to create these computational models.…”
Section: Introductionmentioning
confidence: 99%