机构:[1]Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing 100081, China[2]Intelligent Mechanical Systems Engineering Department, Kagawa University, Takamatsu 761-0396, Japan[3]Department of Interventional Neuroradiology, Beijing Engineering Technology Research Center for Interventional Neuroradiology, and Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 10050, China重点科室医技科室研究所放射科放射科北京市神经外科研究所首都医科大学附属天坛医院
When conducting endovascular interventional surgery, doctors usually experience high viscous resistance resulting from direct contact with blood when operating the guide wire in blood vessels, which reduces the operational efficiency. Improper operation can cause vascular injuries and greatly reduce surgical safety, sometimes leading to the death of the patient. This paper presents a new method that applies transverse microvibrations at the proximal end of a conventional passive guide wire to reduce viscous resistance. The effect of the proposed method in reducing the viscous resistance in the fluid is studied. The influences of the tube diameter, medium density, and applied vibration frequency on the viscous force are investigated. Finally, for endovascular therapy, a mathematical model of the viscous force of the guide wire based on the proposed method is established in the environment of human blood vessels to predict the magnitude of the viscous force exerted on the guide wire and analyze the drag reduction effect of the proposed method. The effectiveness of the proposed method in drag reduction and its feasibility in improving surgical safety are experimentally demonstrated. The experimental results indicate that the proposed method can assist the doctor during complicated and variable operation conditions.
基金:
National High-tech Research and Development Program (863 Program) of China [2015AA043202]; National Key Research and Development Program of China [2017YFB1304401]
第一作者机构:[1]Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing 100081, China
通讯作者:
通讯机构:[1]Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing 100081, China[2]Intelligent Mechanical Systems Engineering Department, Kagawa University, Takamatsu 761-0396, Japan