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Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm
Intracranial stents are becoming increasingly a useful option in the treatment of intracranial aneurysms (IAs). Image simulation of the releasing stent configuration together with computational fluid dynamics (CFD) simulation prior to intervention will help surgeons optimize intervention scheme. Thi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753686/ https://www.ncbi.nlm.nih.gov/pubmed/26876026 http://dx.doi.org/10.1038/srep21724 |
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author | Zhong, Jingru Long, Yunling Yan, Huagang Meng, Qianqian Zhao, Jing Zhang, Ying Yang, Xinjian Li, Haiyun |
author_facet | Zhong, Jingru Long, Yunling Yan, Huagang Meng, Qianqian Zhao, Jing Zhang, Ying Yang, Xinjian Li, Haiyun |
author_sort | Zhong, Jingru |
collection | PubMed |
description | Intracranial stents are becoming increasingly a useful option in the treatment of intracranial aneurysms (IAs). Image simulation of the releasing stent configuration together with computational fluid dynamics (CFD) simulation prior to intervention will help surgeons optimize intervention scheme. This paper proposed a fast virtual stenting of IAs based on active contour model (ACM) which was able to virtually release stents within any patient-specific shaped vessel and aneurysm models built on real medical image data. In this method, an initial stent mesh was generated along the centerline of the parent artery without the need for registration between the stent contour and the vessel. Additionally, the diameter of the initial stent volumetric mesh was set to the maximum inscribed sphere diameter of the parent artery to improve the stenting accuracy and save computational cost. At last, a novel criterion for terminating virtual stent expanding that was based on the collision detection of the axis aligned bounding boxes was applied, making the stent expansion free of edge effect. The experiment results of the virtual stenting and the corresponding CFD simulations exhibited the efficacy and accuracy of the ACM based method, which are valuable to intervention scheme selection and therapy plan confirmation. |
format | Online Article Text |
id | pubmed-4753686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47536862016-02-23 Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm Zhong, Jingru Long, Yunling Yan, Huagang Meng, Qianqian Zhao, Jing Zhang, Ying Yang, Xinjian Li, Haiyun Sci Rep Article Intracranial stents are becoming increasingly a useful option in the treatment of intracranial aneurysms (IAs). Image simulation of the releasing stent configuration together with computational fluid dynamics (CFD) simulation prior to intervention will help surgeons optimize intervention scheme. This paper proposed a fast virtual stenting of IAs based on active contour model (ACM) which was able to virtually release stents within any patient-specific shaped vessel and aneurysm models built on real medical image data. In this method, an initial stent mesh was generated along the centerline of the parent artery without the need for registration between the stent contour and the vessel. Additionally, the diameter of the initial stent volumetric mesh was set to the maximum inscribed sphere diameter of the parent artery to improve the stenting accuracy and save computational cost. At last, a novel criterion for terminating virtual stent expanding that was based on the collision detection of the axis aligned bounding boxes was applied, making the stent expansion free of edge effect. The experiment results of the virtual stenting and the corresponding CFD simulations exhibited the efficacy and accuracy of the ACM based method, which are valuable to intervention scheme selection and therapy plan confirmation. Nature Publishing Group 2016-02-15 /pmc/articles/PMC4753686/ /pubmed/26876026 http://dx.doi.org/10.1038/srep21724 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhong, Jingru Long, Yunling Yan, Huagang Meng, Qianqian Zhao, Jing Zhang, Ying Yang, Xinjian Li, Haiyun Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title | Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title_full | Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title_fullStr | Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title_full_unstemmed | Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title_short | Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm |
title_sort | fast virtual stenting with active contour models in intracranical aneurysm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753686/ https://www.ncbi.nlm.nih.gov/pubmed/26876026 http://dx.doi.org/10.1038/srep21724 |
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