title: Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm.
abstract: 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.
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Jingru
authors.initials: J
authors.lastname: Zhong
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Yunling
authors.initials: Y
authors.lastname: Long
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Huagang
authors.initials: H
authors.lastname: Yan
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Qianqian
authors.initials: Q
authors.lastname: Meng
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Capital Medical University, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Department of Interventional Neuroradiology, Beijing, 100050, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Capital Medical University, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Department of Interventional Neuroradiology, Beijing, 100050, China.
authors.forename: Xinjian
authors.initials: X
authors.lastname: Yang
authors.affiliation: Capital Medical University, Department of Biomedical Engineering, Beijing, 100069, China.
authors.forename: Haiyun
authors.initials: H
authors.lastname: Li
mesh_terms: D003198:Computer Simulation; D003661:Decision Support Techniques; D006801:Humans; D057446:Hydrodynamics; D002532:Intracranial Aneurysm / Q000601:surgery*; D008955:Models, Cardiovascular; D015607:Stents