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 . 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 . 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)  and magnetic resonance elastography . 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 . 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.
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