Mesoscopic simulations of systolic flow in the human abdominal aorta

Artoli, A.M.M.; Hoekstra, Alfons G.; Sloot, Peter M. A.

doi:10.1016/j.jbiomech.2005.01.033

Cited by 73 publications

(55 citation statements)

References 38 publications

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“…We note that LB may be adapted to Stokes flow, in which the fluid inertia is ignored in a regime of very small Re [15], but its simplest and most effective form lies in approximating the full Navier-Stokes equations. LB has previously been used to simulate blood flow (i) at the macroscopic, arterial level [23][24][25], (ii) at the microscopic level [16,26], and (iii) to simulate many deformable droplets in flow [27].…”

Section: B Fluid Dynamics: Lattice Boltzmann (Lb)mentioning

confidence: 99%

Modeling the flow of dense suspensions of deformable particles in three dimensions

et al. 2007

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We describe here a rigorous and accurate model for the simulation of three-dimensional deformable particles (DPs). The method is very versatile, easily simulating various types of deformable particles such as vesicles, capsules, and biological cells. Each DP is resolved explicitly and advects within the surrounding Newtonian fluid. The DPs have a preferred rest shape (e.g., spherical for vesicles, or biconcave for red blood cells). The model uses a classic hybrid system: an Eulerian approach is used for the Navier-Stokes solver (the lattice Boltzmann method) and a Lagrangian approach for the evolution of the DP mesh. Coupling is accomplished through the lattice Boltzmann velocity field, which transmits force to the membranes of the DPs. The novelty of this method resides in its ability (by design) to simulate a large number of DPs within the bounds of current computational limitations: our simple and efficient approach is to (i) use the lattice Boltzmann method because of its acknowledged efficiency at low Reynolds number and its ease of parallelization, and (ii) model the DP dynamics using a coarse mesh (approximately 500 nodes) and a spring model constraining (if necessary) local area, total area, cell volume, local curvature, and local primary stresses. We show that this approach is comparable to the more common-yet numerically expensive-approach of membrane potential function, through a series of quantitative comparisons. To demonstrate the capabilities of the model, we simulate the flow of 200 densely packed red blood cells-a computationally challenging task. The model is very efficient, requiring of the order of minutes for a single DP in a 50 μm×40 μm×40 μm simulation domain and only hours for 200 DPs in 80 μm×30 μm×30 μm. Moreover, the model is highly scalable and efficient compared to other models of blood cells in flow, making it an ideal and unique tool for studying blood flow in microvessels or vesicle or capsule flow (or a mixture of different particles). In addition to directly predicting fluid dynamics in complex suspension in any geometry, the model allows determination of accurate, empirical rules which may improve existing macroscopic, continuum models.

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Section: B Fluid Dynamics: Lattice Boltzmann (Lb)mentioning

confidence: 99%

Modeling the flow of dense suspensions of deformable particles in three dimensions

et al. 2007

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“…Especially in the recent years, many researchers have used LBM to simulate blood flow in the arterial and venous system. [31][32][33][34] We have set up simulations with boundary conditions corresponding to the described bifurcation geometry. The only free simulation parameter apart from the fluid density and viscosity is the central inlet velocity.…”

Section: ͑2͒mentioning

confidence: 99%

Acoustic driven flow and lattice Boltzmann simulations to study cell adhesion in biofunctionalized μ-fluidic channels with complex geometry

et al. 2010

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Accurately mimicking the complexity of microvascular systems calls for a technology which can accommodate particularly small sample volumes while retaining a large degree of freedom in channel geometry and keeping the price considerably low to allow for high throughput experiments. Here, we demonstrate that the use of surface acoustic wave driven microfluidics systems successfully allows the study of the interrelation between melanoma cell adhesion, the matrix protein collagen type I, the blood clotting factor von Willebrand factor ͑vWF͒, and microfluidic channel geometry. The versatility of the tool presented enables us to examine cell adhesion under flow in straight and bifurcated microfluidic channels in the presence of different protein coatings. We show that the addition of vWF tremendously increases ͑up to tenfold͒ the adhesion of melanoma cells even under fairly low shear flow conditions. This effect is altered in the presence of bifurcated channels demonstrating the importance of an elaborate hydrodynamic analysis to differentiate between physical and biological effects. Therefore, computer simulations have been performed along with the experiments to reveal the entire flow profile in the channel. We conclude that a combination of theory and experiment will lead to a consistent explanation of cell adhesion, and will optimize the potential of microfluidic experiments to further unravel the relation between blood clotting factors, cell adhesion molecules, cancer cell spreading, and the hydrodynamic conditions in our microcirculatory system.

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“…Naturally, since this kind of medical image processing is usually a complicated and resource intensive task, additional computational resources are needed. The VRE contains an efficient parallel computational haemodynamics solver [15][16][17] that computes pressure, velocities, and shear stresses during a full systolic period. The simulator is based on the LatticeBoltzmann method, a mesoscopic approach for simulating fluid flow based on the kinetic Boltzmann equation [18][19][20].…”

Section: The Crossgrid Biomedical Applicationmentioning

confidence: 99%

A Conceptual Grid Architecture for Interactive Biomedical Applications

Tirado-Ramos

Sloot

2006

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)

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The growing complexity of distributed biomedical application requirements present new challenges to the representation of software architectural analysis and design. This is the case in particular when using Grid infrastructures for supporting interactive biomedical applications. In this paper we present a generic Grid software architecture for biomedicine, where we focus on a conceptual level of architecture design. In this approach, we identify high-level components, their subcomponents and their relationships as required to allow for basic interactivity. We apply our approach to a biomedical application for the simulation of blood flow, within a production Grid framework, and present our conclusions.

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Mesoscopic simulations of systolic flow in the human abdominal aorta

Cited by 73 publications

References 38 publications

Modeling the flow of dense suspensions of deformable particles in three dimensions

Modeling the flow of dense suspensions of deformable particles in three dimensions

Acoustic driven flow and lattice Boltzmann simulations to study cell adhesion in biofunctionalized μ-fluidic channels with complex geometry

A Conceptual Grid Architecture for Interactive Biomedical Applications

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