An image-based modeling framework for patient-specific computational hemodynamics

Med Biol Eng Comput. 2008 Nov;46(11):1097-112. doi: 10.1007/s11517-008-0420-1. Epub 2008 Nov 11.


We present a modeling framework designed for patient-specific computational hemodynamics to be performed in the context of large-scale studies. The framework takes advantage of the integration of image processing, geometric analysis and mesh generation techniques, with an accent on full automation and high-level interaction. Image segmentation is performed using implicit deformable models taking advantage of a novel approach for selective initialization of vascular branches, as well as of a strategy for the segmentation of small vessels. A robust definition of centerlines provides objective geometric criteria for the automation of surface editing and mesh generation. The framework is available as part of an open-source effort, the Vascular Modeling Toolkit, a first step towards the sharing of tools and data which will be necessary for computational hemodynamics to play a role in evidence-based medicine.

Publication types

  • Review

MeSH terms

  • Aorta, Abdominal / physiology
  • Computer Simulation
  • Hemorheology*
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Intracranial Aneurysm / physiopathology
  • Models, Cardiovascular*
  • Phantoms, Imaging
  • Software