Fluid–structure interaction simulation of pulsatile ventricular assist devices

Long, Christopher C.; Marsden, Alison L.; Bazilevs, Yuri

doi:10.1007/s00466-013-0858-3

Cited by 107 publications

(44 citation statements)

References 97 publications

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“…The computational FSI methodology for PVADs was presented in detail in Ref. 45. The linear FEM-based ALE-VMS technique 15,20,39,117 is used for the computation of blood and air flow in the respective chambers of the device.…”

Section: Pvad: Residence Time Computationsmentioning

confidence: 99%

“…In an effort to enhance computational efficiency, a combination of a sparse-matrix-based and a matrix-free approach was used in the implementation of the quasi-direct nonmatching-interface FSI coupling technique (see Ref. 45 for details). Due to the large deformations of the membrane, the blood and air domain meshes need to be periodically regenerated.…”

Section: Pvad: Residence Time Computationsmentioning

confidence: 99%

“…Long residence times and areas of recirculation or stagnation may lead to increased risk of thrombosis in PVADs. 45,72 A method was presented in Ref. 73 for computing the particle residence time, which is known to correlate with an increased risk of thrombogenesis.…”

Section: Introductionmentioning

confidence: 99%

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ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling

Takizawa

Bazilevs

Tezduyar

et al. 2014

Math. Models Methods Appl. Sci.

113

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This paper provides a review of the space-time (ST) and Arbitrary Lagrangian-Eulerian (ALE) techniques developed by the first three authors' research teams for patientspecific cardiovascular fluid mechanics modeling, including fluid-structure interaction (FSI). The core methods are the ALE-based variational multiscale (ALE-VMS) method, the Deforming-Spatial-Domain/Stabilized ST formulation, and the stabilized ST FSI 2437 Math. Models Methods Appl. Sci. 2014.24:2437-2486. Downloaded from www.worldscientific.com by UNIVERSITY OF GEORGIA on 11/27/14. For personal use only. 2438 K. Takizawa et al.technique. A good number of special techniques targeting cardiovascular fluid mechanics have been developed to be used with the core methods. These include: (i) arterial-surface extraction and boundary condition techniques, (ii) techniques for using variable arterial wall thickness, (iii) methods for calculating an estimated zero-pressure arterial geometry, (iv) techniques for prestressing of the blood vessel wall, (v) mesh generation techniques for building layers of refined fluid mechanics mesh near the arterial walls, (vi) a special mapping technique for specifying the velocity profile at an inflow boundary with noncircular shape, (vii) a scaling technique for specifying a more realistic volumetric flow rate, (viii) techniques for the projection of fluid-structure interface stresses, (ix) a recipe for pre-FSI computations that improve the convergence of the FSI computations, (x) the Sequentially-Coupled Arterial FSI technique and its multiscale versions, (xi) techniques for calculation of the wall shear stress (WSS) and oscillatory shear index (OSI), (xii) methods for stent modeling and mesh generation, (xiii) methods for calculation of the particle residence time, and (xiv) methods for an estimated element-based zero-stress state for the artery. Here we provide an overview of the special techniques for WSS and OSI calculations, stent modeling and mesh generation, and calculation of the residence time with application to pulsatile ventricular assist device (PVAD). We provide references for some of the other special techniques. With results from earlier computations, we show how these core and special techniques work.

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Section: Pvad: Residence Time Computationsmentioning

confidence: 99%

Section: Pvad: Residence Time Computationsmentioning

confidence: 99%

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ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling

Takizawa

Bazilevs

Tezduyar

et al. 2014

Math. Models Methods Appl. Sci.

113

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“…Results demonstrated that decreased residence time, presumed linked to thrombotic risk, could be achieved through automated shape optimization. [88–90] Additional developments in VAD design and simulations were recently summarized in Marsden et al[91]…”

Section: Valves and Devicesmentioning

confidence: 99%

Computational modeling and engineering in pediatric and congenital heart disease

Marsden¹,

Feinstein

2015

Current Opinion in Pediatrics

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Purpose of review Recent methodological advances in computational simulations are enabling increasingly realistic simulations of hemodynamics and physiology, driving increased clinical utility. We review recent developments in the use of computational simulations in pediatric and congenital heart disease, describe the clinical impact in modeling in single ventricle patients, and provide an overview of emerging areas. Recent Findings Multiscale modeling combining patient specific hemodynamics with reduced order (i.e. mathematically and computationally simplified) circulatory models has become the defacto standard for modeling local hemodynamics and “global” circulatory physiology. We review recent advances that have enabled faster solutions, discuss new methods, (e.g. fluid structure interaction and uncertainty quantification), which lend realism both computationally and clinically to results, highlight novel computationally-derived surgical methods for single ventricle patients, and discuss areas in which modeling has begun to exert its influence including Kawasaki disease, fetal circulation, tetralogy of Fallot, (and pulmonary tree), and circulatory support. Summary Computational modeling is emerging as a crucial tool for clinical decision-making and evaluation of novel surgical methods and interventions in pediatric cardiology and beyond. Continued development of modeling methods, with an eye towards clinical needs, will enable clinical adoption in a wide range of pediatric and congenital heart diseases.

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“…Examples of patient specific modeling include new surgical designs for congenital heart disease, 7,8,[16][17][18][19] risk assessment in coronary artery disease, 20,21 thrombotic risk stratification in Kawasaki disease 22 and cerebral and abdominal aneurysm treatment. 23,24 Device simulations have included evaluation of wall shear stress patterns in stents, 25,26 stent optimization, 27,28 ventricular assist devices, 29 device migration, 30 and pacemaker lead placement. 31 We are fast approaching a time when simulations, with proper validation, will be incorporated into day to day clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Simulation based planning of surgical interventions in pediatric cardiology

Marsden

2013

Physics of Fluids

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Hemodynamics plays an essential role in the progression and treatment of cardiovascular disease. However, while medical imaging provides increasingly detailed anatomical information, clinicians often have limited access to hemodynamic data that may be crucial to patient risk assessment and treatment planning. Computational simulations can now provide detailed hemodynamic data to augment clinical knowledge in both adult and pediatric applications. There is a particular need for simulation tools in pediatric cardiology, due to the wide variation in anatomy and physiology in congenital heart disease patients, necessitating individualized treatment plans. Despite great strides in medical imaging, enabling extraction of flow information from magnetic resonance and ultrasound imaging, simulations offer predictive capabilities that imaging alone cannot provide. Patient specific simulations can be used for testing of new surgical designs, treatment planning, device testing, and patient risk stratification. Furthermore, simulations can be performed at no direct risk to the patient. In this paper, we outline the current state of the art in methods for cardiovascular blood flow simulation and virtual surgery. We then step through pressing challenges in the field, including multiscale modeling, boundary condition selection, optimization, and uncertainty quantification. Finally, we summarize simulation results of two representative examples from pediatric cardiology: single ventricle physiology, and coronary aneurysms caused by Kawasaki disease. These examples illustrate the potential impact of computational modeling tools in the clinical setting.

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Fluid–structure interaction simulation of pulsatile ventricular assist devices

Cited by 107 publications

References 97 publications

ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling

ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling

Computational modeling and engineering in pediatric and congenital heart disease

Simulation based planning of surgical interventions in pediatric cardiology

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