@article{17530,
  author = {Henrik Kjeldsberg and Aslak Bergersen and Kristian Valen-Sendstad},
  title = {VaMPy: An Automated and Objective Pipeline for Modeling Vascular Geometries},
  abstract = {In medical research, it has become increasingly common to use image-based computational fluid dynamics (CFD) to study vascular pathology. Hemodynamic forces, such as wall shear stress (WSS), are believed to play a crucial role in vessel wall adaptation and remodeling. However, measuring these forces directly is challenging due to limitations in current measurement techniques. Additionally, there is significant variability in CFD modeling choices and simulation results, which can make it difficult to compare and interpret findings across studies. To address this, we aim to create an automated CFD pipeline for modeling cardiovascular flows that is objective and consistent, where modeling choices are backed up by rigorous research. The Vascular Modeling Pypeline (VaMPy) is an entry-level high-performance CFD pipeline with a high-level Python interface that lets the user easily extend or modify the functionality.},
  year = {2023},
  journal = {Journal of Open Source Software},
  volume = {8},
  number = {85},
  pages = {5278},
  month = {05/2023},
  publisher = {Open Journals},
  doi = {https://doi.org/10.21105/joss.05278},
}