Medical & Biological Engineering & Computing

, Volume 52, Issue 6, pp 539–556

Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography


  • Arso M. Vukicevic
    • Faculty of EngineeringUniversity of Kragujevac
  • Nemanja M. Stepanovic
    • Faculty of MedicineUniversity of Nis
  • Gordana R. Jovicic
    • Faculty of EngineeringUniversity of Kragujevac
  • Svetlana R. Apostolovic
    • Faculty of MedicineUniversity of Nis
    • Faculty of EngineeringUniversity of Kragujevac
Original Article

DOI: 10.1007/s11517-014-1155-9

Cite this article as:
Vukicevic, A.M., Stepanovic, N.M., Jovicic, G.R. et al. Med Biol Eng Comput (2014) 52: 539. doi:10.1007/s11517-014-1155-9


Despite a lot of progress in the fields of medical imaging and modeling, problem of estimating the risk of in-stent restenosis and monitoring the progress of the therapy following stenting still remains. The principal aim of this paper was to propose architecture and implementation details of state of the art of computer methods for a follow-up study of disease progression in coronary arteries stented with bare-metal stents. The 3D reconstruction of coronary arteries was performed by fusing X-ray angiography and intravascular ultrasound (IVUS) as the most dominant modalities in interventional cardiology. The finite element simulation of plaque progression was performed by coupling the flow equations with the reaction–diffusion equation applying realistic boundary conditions at the wall. The alignment of baseline and follow-up data was performed automatically by temporal alignment of IVUS electrocardiogram-gated frames. The assessment was performed using three six-month follow-ups of right coronary artery. Simulation results were compared with the ground truth data measured by clinicians. In all three data sets, simulation results indicated the right places as critical. With the obtained difference of 5.89 ± ~4.5 % between the clinical measurements and the results of computer simulations, we showed that presented framework is suitable for tracking the progress of coronary disease, especially for comparing face-to-face results and data of the same artery from distinct time periods.


Image-based modelingRestenosisX-ray angiographyIVUSFinite element methodFollow-up

Copyright information

© International Federation for Medical and Biological Engineering 2014