SimVascular

SimVascular: An Open Source Pipeline for Cardiovascular Simulation. 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.


References in zbMATH (referenced in 8 articles )

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  1. Fleeter, Casey M.; Geraci, Gianluca; Schiavazzi, Daniele E.; Kahn, Andrew M.; Marsden, Alison L.: Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics (2020)
  2. Gao, Han; Zhu, Xueyu; Wang, Jian-Xun: A bi-fidelity surrogate modeling approach for uncertainty propagation in three-dimensional hemodynamic simulations (2020)
  3. Liu, Ju; Yang, Weiguang; Dong, Melody; Marsden, Alison L.: The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations (2020)
  4. Seo, Jongmin; Schiavazzi, Daniele E.; Marsden, Alison L.: Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels (2019)
  5. Tran, Justin S.; Schiavazzi, Daniele E.; Kahn, Andrew M.; Marsden, Alison L.: Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts (2019)
  6. Boccadifuoco, A.; Mariotti, A.; Celi, S.; Martini, N.; Salvetti, M. V.: Impact of uncertainties in outflow boundary conditions on the predictions of hemodynamic simulations of ascending thoracic aortic aneurysms (2018)
  7. Liu, Ju; Marsden, Alison L.: A unified continuum and variational multiscale formulation for fluids, solids, and fluid-structure interaction (2018)
  8. Kamensky, David; Hsu, Ming-Chen; Yu, Yue; Evans, John A.; Sacks, Michael S.; Hughes, Thomas J. R.: Immersogeometric cardiovascular fluid-structure interaction analysis with divergence-conforming B-splines (2017)