• 1. Institute of Biomechanics, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, P.R.China;
  • 2. Institute of Biomedical Engineering Technology, Academy of Engineering and Technology, Fudan University, Shanghai 200433, P.R.China;
  • 3. Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, P.R.China;
  • 4. Department of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, P.R.China;
  • 5. Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R.China;
WANG Shengzhang, Email: szwang@fudan.edu.cn
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Numerical simulation of stent deployment is very important to the surgical planning and risk assess of the interventional treatment for the cardio-cerebrovascular diseases. Our group developed a framework to deploy the braided stent and the stent graft virtually by finite element simulation. By using the framework, the whole process of the deployment of the flow diverter to treat a cerebral aneurysm was simulated, and the deformation of the parent artery and the distributions of the stress in the parent artery wall were investigated. The results provided some information to improve the intervention of cerebral aneurysm and optimize the design of the flow diverter. Furthermore, the whole process of the deployment of the stent graft to treat an aortic dissection was simulated, and the distributions of the stress in the aortic wall were investigated when the different oversize ratio of the stent graft was selected. The simulation results proved that the maximum stress located at the position where the bare metal ring touched the artery wall. The results also can be applied to improve the intervention of the aortic dissection and the design of the stent graft.

Citation: WANG Shengzhang, CAI Yunhan, MENG Zhuangyuan, ZHANG Xiaolong, YANG Xinjian, DONG Zhihui. Finite element simulation of stent implantation and its applications in the interventional planning for hemorrhagic cardio-cerebrovascular diseases. Journal of Biomedical Engineering, 2020, 37(6): 974-982. doi: 10.7507/1001-5515.202008063 Copy

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