Aortic root 3D parametric morphological model from 2D-echo images

Morganti, Simone; Valentini, Adele; Favalli, Valentina; Serio, Alessandra; Gambarin, Fabiana Isabella; Vella, Danila; Mazzocchi, Laura; Massetti, Massimo; Auricchio, Ferdinando; Arbustini, Eloisa

doi:10.1016/j.compbiomed.2013.09.015

Cited by 20 publications

(18 citation statements)

References 17 publications

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“…Soncini et al [33] based on 2D transthoracic echocardiographic (2D TTE) data developed 3D model of the sinuses of Valsalva. Morganti et al [34] using designed and developed by themselves an algorithm for 3D modeling of the aortic root based on 2D echocardiography (2D Echo) measures presents generated circumferentially asymmetric geometrical models of the aortic root. Haj-Ali et al [35] developed 3D geometrical representation of the entire valve, including cusps and root compared to 3D-TEE measurements from non-pathological tricuspid aortic valve (TAVs).…”

Section: Fig 1 Aortic Valve Leaflet Regions [27]mentioning

confidence: 99%

Aortic Valve Geometry Modeling – Review

Dawidowska

2016

Advances in Materials Science

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The present work is a review of publications covering computer simulation of aortic valve operation and material properties of aortic valve components studies. Particular attention is paid to the anisotropy of material and geometric properties. The methods of geometric models developing by using specified research methods and/or diagnostic imaging devices are presented. The microstructure of the aortic valve is also described and its impact on material properties definition introduced. The various ways of describing the aortic valve leaflet anisotropic properties are mentioned. Often exploited simplifications and their impact on the simulation results is also presented.

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Section: Fig 1 Aortic Valve Leaflet Regions [27]mentioning

confidence: 99%

Aortic Valve Geometry Modeling – Review

Dawidowska

2016

Advances in Materials Science

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“…6 First, the 3-D finite element model was derived from 2-D images without baseline hemodynamic parameters, which may be better reproduced with 3-D computed tomography angiography. 7 Second, this study had a small sample size for intravascular ultrasonography and hemodynamic measurements, as 23% of all SVGs were occluded. Third, the presence of mild varicosities or valves was not incorporated into the models.…”

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confidence: 99%

External stenting of vein grafts: Primum non nocere

Toeg

Boodhwani

2015

The Journal of Thoracic and Cardiovascular Surgery

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The Achilles heel of coronary artery bypass graft (CABG) surgery is saphenous vein graft (SVG) endothelial damage and intimal hyperplasia, culminating in atherosclerosis and early-to-late graft failure. 1 Contemporary SVG patency rates at 1 year after CABG can reach 80% to 89%. However, at 10 years, only one half of SVGs are patent; the remainder demonstrate varying levels of atherosclerosis. Thus, total arterial grafting is the optimal strategy to improve longterm patency and outcome.Nevertheless, SVGs continue to play an important role in the treatment of elderly patients and those with unavailable or prohibitive risk with arterial conduit harvest. A potential approach to improving SVG patency includes external SVG stenting; materials used for this purpose include porous polyester, nitinol mesh, 2 metallic biocompound, and cobalt-chromium stents. 3 External stenting is believed to improve SVG patency and reduce intimal hyperplasia, by:(1) imposing SVG symmetry, leading to laminar flow and reduction in aberrant hemodynamic forces; and (2) creating a protective environment to promote formation of a microvascular-rich neoadventitia. 3 However, despite promising preclinical studies with external stenting, 4 Rescigno and colleagues 2 demonstrated very poor 12-month SVG occlusion rates of 62% with nitinol mesh stents. 2 Taggart and colleagues 5 randomized 30 patients to either an SVG external stent or not, and reported their 12-month results after angiography and intravascular ultrasonography. Significantly more SVG failures occurred in the stented group compared with the nonstented group when veins were grafted to the right coronary territory (46.2% vs 13.4%; P ¼ .01), whereas the opposite was seen when stented SVGs were grafted to the left territory (17.6% vs 27.5%; P ¼ .02). The extent of intimal hyperplasia assessed by intravascular ultrasonography was marginally less prevalent in the stented group, compared with controls (P ¼ .04). Although this study demonstrates some potential in reducing intimal hyperplasia with external SVG stenting, the high SVG occlusion rate overall, particularly in the right coronary territory, is concerning.Meirson and colleagues 6 present a post hoc analysis in an effort to correlate hemodynamic factors with intimal hyperplasia. The authors performed geometric reconstruction of all SVGs (stented and nonstented), and generated 3-dimensional models derived from finite-element modeling. The hemodynamic parameters of interest included time-averaged wall shear stress, representing SVG tangential frictional forces, and oscillatory shear index, representing the degree of deviation of wall shear stress flow direction. The mean time-averaged wall shear stress did not differ significantly between groups, whereas the mean oscillatory shear index was significantly lower in the stented group (P ¼ .009). Finally, the mean oscillatory shear index values in all groups were correlated with diffuse intimal hyperplasia as measured by intravascular ultrasonography (P ¼ .01).This study presents computation...

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“…For the geometric modeling of the aortic root, the 3D modeling algorithm developed by Morganti et al [82] is implemented. This algorithm is based on dimensions extracted from the 2D echocardiography at four different cross-sections: the ventriculo-aortic junction, the valsalva sinuses, the sinotubular junction, and the ascending tubular aorta.…”

Section: Parametric Modeling Of Aortic Rootmentioning

confidence: 99%

“…These dimensions and other important parameters of the aortic root are shown in Figure 4.1. The dimensions of all parameters are chosen to be the average values from Morganti et al [82], Saura et al [97] and Roman et al [92]; the selected parameters are given in Table 4.1. In this work, the diameter of the ventriculo-aortic junction is set as 23-mm, which is consistent with the leaflet design by Edwards Lifesciences used in our previous study [50].…”

Section: Parametric Modeling Of Aortic Rootmentioning

confidence: 99%

A geometric framework for immersogeometric analysis

Wang¹

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The purpose of this dissertation is to develop a geometric framework for immersogeometric analysis that directly uses the boundary representations (B-reps) of a complex computer-aided design (CAD) model and immerses it into a locally refined, non-boundary-fitted discretization of the fluid domain. Using the non-boundary-fitted mesh which does not need to conform to the shape of the object can alleviate the challenge of mesh generation for complex geometries. This also reduces the labor-intensive and time-consuming work of geometry cleanup for the purpose of obtaining watertight CAD models in order to perform boundary-fitted mesh generation. The Dirichlet boundary conditions in the fluid domain are enforced weakly over the immersed object surface in the intersected elements. The surface quadrature points for the immersed object are generated on the parametric and analytic surfaces of the B-rep models. In the case of trimmed surfaces, adaptive quadrature rule is considered to improve the accuracy of the surface integral. For the non-boundary-fitted mesh, a sub-cell-based adaptive quadrature rule based on the recursive splitting of quadrature elements is used to faithfully capture the geometry in intersected elements. The point membership classification for identifying quadrature points in the fluid domain is based on a voxel-based approach implemented on GPUs. A variety of computational fluid dynamics (CFD) simulations are performed using the proposed method to assess its accuracy and efficiency. Finally, a fluid-structure interaction (FSI) simulation of a deforming left ventricle coupled with the heart valves shows the potential advantages of the developed geometric framework for the immersogeomtric analysis with complex moving domains.

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Aortic root 3D parametric morphological model from 2D-echo images

Cited by 20 publications

References 17 publications

Aortic Valve Geometry Modeling – Review

Aortic Valve Geometry Modeling – Review

External stenting of vein grafts: Primum non nocere

A geometric framework for immersogeometric analysis

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