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

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...

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Autores principales: Mo, Xiao, Yu, Hongshi, Chen, Rong, Chen, Zhenpeng, Li, Haiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296906/
https://www.ncbi.nlm.nih.gov/pubmed/34305776
http://dx.doi.org/10.3389/fneur.2021.639690
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author Mo, Xiao
Yu, Hongshi
Chen, Rong
Chen, Zhenpeng
Li, Haiyun
author_facet Mo, Xiao
Yu, Hongshi
Chen, Rong
Chen, Zhenpeng
Li, Haiyun
author_sort Mo, Xiao
collection PubMed
description 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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spelling pubmed-82969062021-07-23 A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms Mo, Xiao Yu, Hongshi Chen, Rong Chen, Zhenpeng Li, Haiyun Front Neurol Neurology 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. Frontiers Media S.A. 2021-07-08 /pmc/articles/PMC8296906/ /pubmed/34305776 http://dx.doi.org/10.3389/fneur.2021.639690 Text en Copyright © 2021 Mo, Yu, Chen, Chen and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Mo, Xiao
Yu, Hongshi
Chen, Rong
Chen, Zhenpeng
Li, Haiyun
A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title_full A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title_fullStr A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title_full_unstemmed A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title_short A Dissipation Function–Based Method for Calculating the Energy Loss of Intracranial Aneurysms
title_sort dissipation function–based method for calculating the energy loss of intracranial aneurysms
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296906/
https://www.ncbi.nlm.nih.gov/pubmed/34305776
http://dx.doi.org/10.3389/fneur.2021.639690
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