Numerical investigation of fluid–particle interactions for embolic stroke

Mukherjee, Debanjan; Padilla, Jose F.; Shadden, Shawn C.

doi:10.1007/s00162-015-0359-4

Cited by 39 publications

(35 citation statements)

References 32 publications

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“…1, 5, 8, 11, 17, 31, 36, 44, 52 among others). In vitro validation in the thoracic aorta compared flow measurements from PCMRI in deformable phantoms to SimVascular FSI simulations.…”

Section: Resultsmentioning

confidence: 99%

SimVascular: An Open Source Pipeline for Cardiovascular Simulation

et al. 2016

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Patient-specific cardiovascular simulation has become a paradigm in cardiovascular research and is emerging as a powerful tool in basic, translational and clinical research. In this paper we discuss the recent development of a fully open-source SimVascular software package, which provides a complete pipeline from medical image data segmentation to patient-specific blood flow simulation and analysis. This package serves as a research tool for cardiovascular modeling and simulation, and has contributed to numerous advances in personalized medicine, surgical planning and medical device design. The SimVascular software has recently been refactored and expanded to enhance functionality, usability, efficiency and accuracy of image-based patient-specific modeling tools. Moreover, SimVascular previously required several licensed components that hindered new user adoption and code management and our recent developments have replaced these commercial components to create a fully open source pipeline. These developments foster advances in cardiovascular modeling research, increased collaboration, standardization of methods, and a growing developer community.

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“…1, 5, 8, 11, 17, 31, 36, 44, 52 among others). In vitro validation in the thoracic aorta compared flow measurements from PCMRI in deformable phantoms to SimVascular FSI simulations.…”

Section: Resultsmentioning

confidence: 99%

SimVascular: An Open Source Pipeline for Cardiovascular Simulation

et al. 2016

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“…Since its initial release, SimVascular has contributed to numerous advances in fundamental disease research, surgical planning, and medical device design [30,[45][46][47][48][49][50][51][52][53][54][55]. An accompanying publicly available data repository 4 provides patient-specific image data, models, and simulation results of over 120 clinical cases from different regions of the vasculature, including cerebrovascular, coronary, aortofemoral, pulmonary, and congenital heart disease [33,56,57].…”

Section: Introductionmentioning

confidence: 99%

A Re-Engineered Software Interface and Workflow for the Open-Source SimVascular Cardiovascular Modeling Package

Lan

Updegrove

Wilson

et al. 2018

Journal of Biomechanical Engineering

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Patient-specific simulation plays an important role in cardiovascular disease research, diagnosis, surgical planning and medical device design, as well as education in cardiovascular biomechanics. simvascular is an open-source software package encompassing an entire cardiovascular modeling and simulation pipeline from image segmentation, three-dimensional (3D) solid modeling, and mesh generation, to patient-specific simulation and analysis. SimVascular is widely used for cardiovascular basic science and clinical research as well as education, following increased adoption by users and development of a GATEWAY web portal to facilitate educational access. Initial efforts of the project focused on replacing commercial packages with open-source alternatives and adding increased functionality for multiscale modeling, fluid-structure interaction (FSI), and solid modeling operations. In this paper, we introduce a major SimVascular (SV) release that includes a new graphical user interface (GUI) designed to improve user experience. Additional improvements include enhanced data/project management, interactive tools to facilitate user interaction, new boundary condition (BC) functionality, plug-in mechanism to increase modularity, a new 3D segmentation tool, and new computer-aided design (CAD)-based solid modeling capabilities. Here, we focus on major changes to the software platform and outline features added in this new release. We also briefly describe our recent experiences using SimVascular in the classroom for bioengineering education.

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“…The particle's Stokes numbers (Stk = p d 2 p w 18 d c , where d p is the particle diameter, p the particle density, w the mean speed of the fluid, and d c the diameter of the conduit) are much less than unity for our target application; therefore, the computationally intensive history terms 31 may be ignored as they scale to the square root of the particle's Stokes number. 32 The Faxen terms, 33 which account for the second-order nonuniform velocity field corrections, are neglected because d p d c << 1. 34 Particle to particle interaction is ignored because the volume fraction of particles compared to the volume fraction of the inhaled air is small (approximately 2000 particles per breath in the experiments).…”

Section: Mathematical Modelsmentioning

confidence: 99%

Aerosol transport throughout inspiration and expiration in the pulmonary airways

Oakes

Shadden

Grandmont

et al. 2017

Numer Methods Biomed Eng

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Little is known about transport throughout the respiration cycle in the conducting airways. It is challenging to appropriately describe the time-dependent number of particles entering back into the model during exhalation. Modeling the entire lung is not feasible; therefore, multidomain methods must be used. Here, we present a new framework that is designed to simulate particles throughout the respiration cycle, incorporating realistic airway geometry and respiration. This framework is applied for a healthy rat lung exposed to ∼ 1μm diameter particles, chosen to facilitate parameterization and validation. The flow field is calculated in the conducting airways (3D domain) by solving the incompressible Navier-Stokes equations with experimentally derived boundary conditions. Particles are tracked throughout inspiration by solving a modified Maxey-Riley equation. Next, we pass the time-dependent particle concentrations exiting the 3D model to the 1D volume conservation and advection-diffusion models (1D domain). Once the 1D models are solved, we prescribe the time-dependent number of particles entering back into the 3D airways to again solve for 3D transport. The coupled simulations highlight that about twice as many particles deposit during inhalation compared to exhalation for the entire lung. In contrast to inhalation, where most particles deposit at the bifurcation zones, particles deposit relatively uniformly on the gravitationally dependent side of the 3D airways during exhalation. Strong agreement to previously collected regional experimental data is shown, as the 1D models account for lobe-dependent morphology. This framework may be applied to investigate dosimetry in other species and pathological lungs.

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Numerical investigation of fluid–particle interactions for embolic stroke

Cited by 39 publications

References 32 publications

SimVascular: An Open Source Pipeline for Cardiovascular Simulation

SimVascular: An Open Source Pipeline for Cardiovascular Simulation

A Re-Engineered Software Interface and Workflow for the Open-Source SimVascular Cardiovascular Modeling Package

Aerosol transport throughout inspiration and expiration in the pulmonary airways

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