4.6 Article

A Dissipation Function-Based Method for Calculating the Energy Loss of Intracranial Aneurysms

Journal

FRONTIERS IN NEUROLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.639690

Keywords

intracranial aneurysms; hemodynamics; energy loss; dissipation function; computational fluid dynamics

Funding

  1. Beijing Natural Science Foundation [L192044]

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This study introduced a novel method for calculating the energy loss of intracranial aneurysms and revealed the temporal and spatial characteristics of energy loss through hemodynamic analysis of aneurysms located at the posterior communicating segment of the internal carotid artery. The results showed that energy loss mainly occurred in the boundary layer and high-velocity inflow jet region, reaching its peak during cardiac systole and gradually decreasing during diastole until the end of the cardiac cycle.
At present, the energy loss (EL) mechanism of intracranial aneurysm (IA) rupture is explored based on the global EL calculated by Bernoulli equation, but the details of EL are still unclear. This study aimed to explore the temporal and spatial characteristics of EL of IAs and reveal its mechanism. A novel method for calculating the EL of IAs based on dissipation function (DF) was proposed. DF was derived from the differential form of the energy equation and reflected the irreversible conversion from mechanical energy to internal energy caused by the friction between the fluid micelles. Eight sidewall IAs located at the posterior communicating segment of the internal carotid artery were collected; the three-dimensional (3D) geometric models of IAs were established employing image segmentation and 3D reconstruction. Computational fluid dynamics was applied to obtain hemodynamic parameters of IAs. The temporal and spatial characteristics of EL of IAs were achieved utilizing our proposed method. The simulation results indicated that EL occurred mainly in the boundary layer and the region adjacent to high-velocity inflow jet, EL increased rapidly during cardiac systole and reached its maximum at end-systolic phase and then decreased gradually during diastole until the end of cardiac cycle. The proposed method achieved some improvements over the traditional Bernoulli equation-based method by acquiring the temporal and spatial characteristics of EL, and it could provide insights into the EL of IAs and contribute to further rupture mechanism investigation.

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