Comparison of velocity patterns in an AComA aneurysm measured with 2D phase contrast MRI and simulated with CFD

Article type: Research Article

Authors: Karmonik, Christof^{a; b; *} | Klucznik, Richard^a | Benndorf, Goetz^a

Affiliations: [a] Department of Radiology, The Methodist Hospital Research Institute, Houston, TX, USA | [b] Weill Medical College of Cornell University, New York, NY, USA

Correspondence: [*] Corresponding author: Christof Karmonik, 6565 Fannin MB1-002, Houston, TX 77030, USA. Tel.: +1 713 441 1583; Fax: +1 713 441 4660; E-mail: [email protected].

Abstract: Objective:Computational Fluid Dynamic (CFD) is increasingly being used for modeling hemodynamics in intracranial aneurysms. While CFD techniques are well established, need for validation of the results remains. By quantifying features in velocity patterns measured with 2D phase contrast magnetic resonance (pcMRI) in vivo and simulated with CFD, the role of pcMRI for providing reference data for the CFD simulation is explored. Methods:Unsteady CFD simulations were performed with inflow boundary conditions obtained from 2D pcMRI measurements of an aneurysm of the anterior communication artery. Intra-aneurysmal velocity profiles were recorded with 2D pcMRI and calculated with CFD. Relative areas of positive and negative velocity were calculated in these profiles for maximum and minimum inflow. Results:Areas of positive and of negative velocity similar in shape were found in the velocity profiles obtained with both methods. Relative difference in size of the relative areas for the whole cardiac cycle ranged from 1%–25% (average 12%). Conclusion:2D pcMRI is able to record velocity profiles in an aneurysm of the anterior commuting artery in vivo. These velocity profiles can serve as reference data for validation of CFD simulations. Further studies are needed to explore the role of pcMRI in the context of CFD simulations.

Keywords: Cerebral aneurysms, hemodynamics, computational fluid dynamics, phase contrast magnetic resonance imaging

DOI: 10.3233/THC-2008-16206

Journal: Technology and Health Care, vol. 16, no. 2, pp. 119-128, 2008