Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS

Тел.: +7 (495) 625-9241


An approach for patient-specific hemodynamics modeling taking into account biomechanical properties of the cerebral artery

DOI 10.18127/j15604136-201805-09


Sergey Frolov - Tambov State Technical University, Sovetskaya street 106, Tambov, Russia

Sergey Sindeev- Tambov State Technical University, Sovetskaya street 106, Tambov, Russia

Anton Potlov - Tambov State Technical University, Sovetskaya street 106, Tambov, Russia

Dieter Liepsch -  Munich University of Applied Sciences, Lothstrasse 64, Munich, Germany


Hemodynamic conditions in cerebral arteries, especially at bends and bifurcations, play an important role in initiation, growth and rupture of cerebral aneurysms [1]. During the recent years a computational fluid dynamics (CFD) has been used by many researchers as a primary tool for investigation of cerebral circulation, focusing mainly on finding a correlation between flow conditions and genesis of cerebral disorders [2]. However, the CFD studies are limited by a rigid vessel wall assumption, e.g. [3–5], primarily due to the lack of patient-specific information about mechanical properties of the vessel wall. Several groups have reported approaches for evaluation of mechanical properties of cerebral arteries utilizing modern non-invasive clinical techniques, such as intravascular ultrasound (ultrasound elastography) [6] and magnetic resonance elastography [7]. Despite of the promising results, a low spatial resolution of the aforementioned methods has a significant influence on estimated mechanical properties. On the other hand, intravascular optical coherence tomography (OCT) seems to be a promising technique for high precision imaging of internal vessel wall structures and could be used for evaluation of mechanical properties of the cerebral arteries [8]. Moreover, feasibility studies of the use of OCT to perform elastography have shown a strong correlation existed between the mechanical measurements and those performed with OCT elastography, with no significant difference existing between the two techniques [9, 10].
In this study, we present a novel approach for a patientspecific mathematical modeling of hemodynamics taking into account individual biomechanical properties of the cerebral artery obtained by optical coherence elastography.

  1. C. Sadasivan, D. J. Fiorella, H. H. Woo, and B. B. Lieber. Physical factors effecting cerebral aneurysm pathophysi- ology. Annals of Biomedical Engineering, 41:1347–1365, 2013.
  2. D. M. Sforza, C. M. Putman, and J. R. Cebral. Compu- tational fluid dynamics in brain aneurysms. International Journal for Numerical Methods in Biomedical Engineer- ing, 28(6-7):801–808, 2011.
  3. K. Valen-Sendstad, M. Piccinelli, and D. A. Stein- man. High-resolution computational fluid dynamics de- tects flow instabilities in the carotid siphon: Implications for aneurysm initiation and rupture? Journal of Biome- chanics, 47(12):3210–3216, 2014.
  4. J. R. Cebral, F. Mut, J. Weir, and C. M. Putman. As- sociation of hemodynamic characteristics and cerebral aneurysm rupture. American Journal of Neuroradiology, 32(2):264–270, 2010.
  5. S. V. Frolov, S. V. Sindeev, D. Liepsch, and A. Bal- asso. Experimental and CFD flow studies in an intracra- nial aneurysm model with Newtonian and non-Newtonian fluids. Technology and Health Care, 24:317–333, 2016.
  6. R. Fan, D. Tang, C. Yang, J. Zheng, R. Bach, L. Wang, D. Muccigrosso, K. Billiar, J. Zhu, G. Ma, A. Maehara, and G. S Mintz. Human coronary plaque wall thickness correlated positively with flow shear stress and negatively with plaque wall stress: an IVUS-based fluid-structure in- teraction multi-patient study. BioMedical Engineering On- Line, 13(1):32, 2014.
  7. Y. K. Mariappan, K. J. Glaser, and R. L. Ehman. Magnetic resonance elastography: A review. Clinical Anatomy, 23(5):497–511, 2010.
  8. T. Hoffmann, S. Glaßer, A. Boese, K. Brandstädter, T.Kalinski, O.Beuing, andM.Skalej. Experimentalinves- tigation of intravascular OCT for imaging of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, 11(2):231–241, 2015.
  9. K. V. Larin and D. D. Sampson. Optical coherence elas- tography – OCT at work in tissue biomechanics [invited]. Biomedical Optics Express, 8(2):1172, 2017.
  10. J. Rogowska, N. Patel, S. Plummer, and M. E. Brezinski. Quantitative optical coherence tomographic elastography: method for assessing arterial mechanical properties. The British Journal of Radiology, 79(945):707–711, 2006.
  11. Q. Sun, A. Groth, and T. Aach. Comprehensive validation of computational fluid dynamics simulations of in-vivo blood flow in patient-specific cerebral aneurysms. Med- ical Physics, 39(2):742–754, 2012.
  12. C. Fisher and J. S. Rossmann. Effect of non-Newtonian behavioronhemodynamicsofcerebralaneurysms. Journal of Biomechanical Engineering, 131(9):091004, 2009.
  13. J.D. Humphrey and P.B. Canham. Structure, mechan- ical properties, and mechanics of intracranial saccular aneurysms. Journal of Elasticity, 61(1/3):49–81, 2000.
  14. A. Wittek, W. Derwich, K. Karatolios, C. P. Fritzen, S. Vogt, T. Schmitz-Rixen, and C. Blase. A finite element updating approach for identification of the anisotropic hy- perelastic properties of normal and diseased aortic walls from 4D ultrasound strain imaging. Journal of the Me- chanical Behavior of Biomedical Materials, 58:122–138, 2016.
  15. J. J. Schneiders, E. VanBavel, C. B. Majoie, S. P. Ferns, and R. van den Berg. A flow-diverting stent is not a pressure-diverting stent. American Journal of Neuroradi- ology, 34(1):E1–E4, 2011.
  16. M. Oshima and R. Torii. Numerical evaluation of elas- tic models in blood flow–arterial wall interaction. Inter- national Journal of Computational Fluid Dynamics, 20(3- 4):223–228, 2006.
June 24, 2020
May 29, 2020

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio