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BioMed Research International
Volume 2015, Article ID 628416, 11 pages
Clinical Study

Patient-Specific Simulation of Coronary Artery Pressure Measurements: An In Vivo Three-Dimensional Validation Study in Humans

1Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science, University of Ioannina, 45110 Ioannina, Greece
2Department of Cardiology, Medical School, University of Ioannina, 45110 Ioannina, Greece
3Harvard-MIT Division of Health Sciences & Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
4Michailideion Cardiac Center, University of Ioannina, 45110 Ioannina, Greece
5Biomedical Research Institute-FORTH, University of Ioannina, 45110 Ioannina, Greece
6Thoraxcenter, Erasmus Medical Center, 3000 CA Rotterdam, Netherlands
7Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche (IFC-CNR), 56124 Pisa, Italy

Received 25 April 2014; Accepted 10 September 2014

Academic Editor: Karim Bendjelid

Copyright © 2015 Panagiotis K. Siogkas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Pressure measurements using finite element computations without the need of a wire could be valuable in clinical practice. Our aim was to compare the computed distal coronary pressure values with the measured values using a pressure wire, while testing the effect of different boundary conditions for the simulation. Eight coronary arteries (lumen and outer vessel wall) from six patients were reconstructed in three-dimensional (3D) space using intravascular ultrasound and biplane angiographic images. Pressure values at the distal and proximal end of the vessel and flow velocity values at the distal end were acquired with the use of a combo pressure-flow wire. The 3D lumen and wall models were discretized into finite elements; fluid structure interaction (FSI) and rigid wall simulations were performed for one cardiac cycle both with pulsatile and steady flow in separate simulations. The results showed a high correlation between the measured and the computed coronary pressure values (coefficient of determination [r2] ranging between 0.8902 and 0.9961), while the less demanding simulations using steady flow and rigid walls resulted in very small relative error. Our study demonstrates that computational assessment of coronary pressure is feasible and seems to be accurate compared to the wire-based measurements.