Cargando…
Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms
This study aims to develop an alternative vortex analysis method by measuring structure ofIntracranial aneurysm (IA) flow vortexes across the cardiac cycle, to quantify temporal stability of aneurismal flow. Hemodynamics were modeled in “patient-specific” geometries, using computational fluid dynami...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116551/ https://www.ncbi.nlm.nih.gov/pubmed/27891172 http://dx.doi.org/10.1155/2016/7406215 |
_version_ | 1782468680375861248 |
---|---|
author | Sunderland, Kevin Haferman, Christopher Chintalapani, Gouthami Jiang, Jingfeng |
author_facet | Sunderland, Kevin Haferman, Christopher Chintalapani, Gouthami Jiang, Jingfeng |
author_sort | Sunderland, Kevin |
collection | PubMed |
description | This study aims to develop an alternative vortex analysis method by measuring structure ofIntracranial aneurysm (IA) flow vortexes across the cardiac cycle, to quantify temporal stability of aneurismal flow. Hemodynamics were modeled in “patient-specific” geometries, using computational fluid dynamics (CFD) simulations. Modified versions of known λ (2) and Q-criterion methods identified vortex regions; then regions were segmented out using the classical marching cube algorithm. Temporal stability was measured by the degree of vortex overlap (DVO) at each step of a cardiac cycle against a cycle-averaged vortex and by the change in number of cores over the cycle. No statistical differences exist in DVO or number of vortex cores between 5 terminal IAs and 5 sidewall IAs. No strong correlation exists between vortex core characteristics and geometric or hemodynamic characteristics of IAs. Statistical independence suggests this proposed method may provide novel IA information. However, threshold values used to determine the vortex core regions and resolution of velocity data influenced analysis outcomes and have to be addressed in future studies. In conclusions, preliminary results show that the proposed methodology may help give novel insight toward aneurismal flow characteristic and help in future risk assessment given more developments. |
format | Online Article Text |
id | pubmed-5116551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-51165512016-11-27 Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms Sunderland, Kevin Haferman, Christopher Chintalapani, Gouthami Jiang, Jingfeng Comput Math Methods Med Research Article This study aims to develop an alternative vortex analysis method by measuring structure ofIntracranial aneurysm (IA) flow vortexes across the cardiac cycle, to quantify temporal stability of aneurismal flow. Hemodynamics were modeled in “patient-specific” geometries, using computational fluid dynamics (CFD) simulations. Modified versions of known λ (2) and Q-criterion methods identified vortex regions; then regions were segmented out using the classical marching cube algorithm. Temporal stability was measured by the degree of vortex overlap (DVO) at each step of a cardiac cycle against a cycle-averaged vortex and by the change in number of cores over the cycle. No statistical differences exist in DVO or number of vortex cores between 5 terminal IAs and 5 sidewall IAs. No strong correlation exists between vortex core characteristics and geometric or hemodynamic characteristics of IAs. Statistical independence suggests this proposed method may provide novel IA information. However, threshold values used to determine the vortex core regions and resolution of velocity data influenced analysis outcomes and have to be addressed in future studies. In conclusions, preliminary results show that the proposed methodology may help give novel insight toward aneurismal flow characteristic and help in future risk assessment given more developments. Hindawi Publishing Corporation 2016 2016-11-07 /pmc/articles/PMC5116551/ /pubmed/27891172 http://dx.doi.org/10.1155/2016/7406215 Text en Copyright © 2016 Kevin Sunderland et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sunderland, Kevin Haferman, Christopher Chintalapani, Gouthami Jiang, Jingfeng Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title | Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title_full | Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title_fullStr | Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title_full_unstemmed | Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title_short | Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms |
title_sort | vortex analysis of intra-aneurismal flow in cerebral aneurysms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116551/ https://www.ncbi.nlm.nih.gov/pubmed/27891172 http://dx.doi.org/10.1155/2016/7406215 |
work_keys_str_mv | AT sunderlandkevin vortexanalysisofintraaneurismalflowincerebralaneurysms AT hafermanchristopher vortexanalysisofintraaneurismalflowincerebralaneurysms AT chintalapanigouthami vortexanalysisofintraaneurismalflowincerebralaneurysms AT jiangjingfeng vortexanalysisofintraaneurismalflowincerebralaneurysms |