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

DOI 10.18127/j15604136-201805-09

Keywords:

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

Contact: Sergej.frolov@gmail.com


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.

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