Comparison between computational fluid dynamics, fluid–structure interaction and computational structural dynamics predictions of flow-induced wall mechanics in an anatomically realistic cerebral aneurysm model

Valencia, Álvaro; Muñoz, Francisco; Araya, Sebastian; Rivera, Rodrigo; Bravo, Eduardo

doi:10.1080/10618560903476386

Cited by 23 publications

(11 citation statements)

References 45 publications

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“…If detected by human eye, the change in geometry should be sufficient to affect computed characteristics of flow yet classic assumptions and boundary conditions may have interfered with modeling such deformations. Significant deformation was indeed detected in model systems 17, 47 configured with elastic boundaries. Rigid boundaries overestimate shear stress in IA and by definition dampen deformation.…”

Section: Parameters and Sensitivity Of Flow Simulation In Iamentioning

confidence: 82%

Role of Fluid Dynamics and Inflammation in Intracranial Aneurysm Formation

2014

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The emergence of inflammation as a key mediator of aneurysmogenesis provides new opportunities to understand the processes underlying development of intracranial aneurysms (IA). Inflammation unifies the triptych influences of alterations in local flow, mechanical properties of the wall and biochemical mediators and opens new avenues for building robust predictive tools. This review discusses the impact of the inflammatory cascade during the formation of intracranial aneurysms, and its associated morphological, structural and mechanical changes especially in the setting of flow-induced endothelial dysfunction.

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Section: Parameters and Sensitivity Of Flow Simulation In Iamentioning

confidence: 82%

Role of Fluid Dynamics and Inflammation in Intracranial Aneurysm Formation

2014

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“…When compared against the 20% thickness, the thinner, equivalent wall-thickness produces a striking increase in the maximum principal-stress. The maximum stresses achieved with the equivalent wall-thickness fall well within a reasonable bound for cerebral aneurysms [40,41,[57][58][59].…”

Section: Resultsmentioning

confidence: 99%

Estimating an equivalent wall-thickness of a cerebral aneurysm through surface parameterization and a non-linear spring system

Johnson

Zhang

Shimada

2010

Int. J. Numer. Meth. Biomed. Engng.

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SUMMARYCerebral aneurysms are an enlargement of a brain blood-vessel due to a weakened wall and can pose significant health risks. Computational simulations have been thus utilized to help doctors in the understanding of cerebral aneurysms. In order to provide more accurate patient-specific simulations, not only does geometry for the fluid domain need to be created from medical image data, but more accurate wall-models need to be generated as well. However, the wall-thickness and material properties are very difficult to obtain experimentally, and thus most computational simulations, except for a few we have seen in the recent years, are performed using walls with uniform thickness and constant material properties. To provide a more accurate computational model for the weakened wall-structure, this paper presents a novel estimation of an equivalent cerebral aneurysm wall-thickness by deforming a healthy vessel onto an aneurysm through surface parameterization and a non-linear spring system. The resulting wall-model is thinnest over the dome of the aneurysm, and for the patient-specific models used has an average thickness of 75 m. Fluid-structure interaction simulations of three patient-specific cerebral aneurysms are carried out. Compared with using a uniform wall-thickness, using the equivalent wall-thickness gives a more accurate prediction of the rupture site.

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“…Matching aneurysm wall dynamics to imaged dynamics in aneurysm replicas might provide a potential remedy. In any case, wall compliance most likely will have an effect on wall shear stress and related quantities,33 and the order of the effect will directly depend on the degree of wall motion—that is, strongly pulsating blebs will show the largest variations from computed simulations assuming rigid walls. Nevertheless, models with a rigid wall (virtual and/or 3D printed) are assumed to provide an approximation for aneurysmal hemodynamics and imaging rigid 3D models can serve as a direct validation of computational fluid dynamics results for rigid computational models.…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional printing of anatomically accurate, patient specific intracranial aneurysm models

Anderson

Thompson

Alkattan

et al. 2015

J NeuroIntervent Surg

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ObjectiveTo develop and validate a method for creating realistic, patient specific replicas of cerebral aneurysms by means of fused deposition modeling.MethodsThe luminal boundaries of 10 cerebral aneurysms, together with adjacent proximal and distal sections of the parent artery, were segmented based on DSA images, and corresponding virtual three-dimensional (3D) surface reconstructions were created. From these, polylactic acid and MakerBot Flexible Filament replicas of each aneurysm were created by means of fused deposition modeling. The accuracy of the replicas was assessed by quantifying statistical significance in the variations of their inner dimensions relative to 3D DSA images. Feasibility for using these replicas as flow phantoms in combination with phase contrast MRI was demonstrated.Results3D printed aneurysm models were created for all 10 subjects. Good agreement was seen between the models and the source anatomy. Aneurysm diameter measurements of the printed models and source images correlated well (r=0.999; p<0.001), with no statistically significant group difference (p=0.4) or observed bias. The SDs of the measurements were 0.5 mm and 0.2 mm for source images and 3D models, respectively. 3D printed models could be imaged with flow via MRI.ConclusionsThe 3D printed aneurysm models presented were accurate and were able to be produced inhouse. These models can be used for previously cited applications, but their anatomical accuracy also enables their use as MRI flow phantoms for comparison with ongoing studies of computational fluid dynamics. Proof of principle imaging experiments confirm MRI flow phantom utility.

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Comparison between computational fluid dynamics, fluid–structure interaction and computational structural dynamics predictions of flow-induced wall mechanics in an anatomically realistic cerebral aneurysm model

Cited by 23 publications

References 45 publications

Role of Fluid Dynamics and Inflammation in Intracranial Aneurysm Formation

Role of Fluid Dynamics and Inflammation in Intracranial Aneurysm Formation

Estimating an equivalent wall-thickness of a cerebral aneurysm through surface parameterization and a non-linear spring system

Three-dimensional printing of anatomically accurate, patient specific intracranial aneurysm models

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