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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This work was supported by the National Science Foundation SI2 program (Award No. 1407834 and 1562450) and in part by the NIH (Contract HHSN268201100035C).
Conflicts of Interest
The authors do not have conflicts of interest relevant to this manuscript.
Communicated by Ender A. Finol.
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Updegrove, A., Wilson, N.M., Merkow, J. et al. SimVascular: An Open Source Pipeline for Cardiovascular Simulation. Ann Biomed Eng 45, 525–541 (2017). https://doi.org/10.1007/s10439-016-1762-8
- Patient-specific modeling
- Image-based CFD