LI Jiasheng 1,2,3 , REN Dongcheng 1,2,3 , ZHOU Bo 4 , GUO Shijie 1,2,3 , GUO Baolei 4
  • 1. Academy for Engineering and Technology, Fudan University, Shanghai 200433, P. R. China;
  • 2. Shanghai Engineering Research Center of AI & Robotics, Fudan University, Shanghai 200433, P. R. China;
  • 3. Engineering Research Center of AI & Robotics, Ministry of Education, Fudan University, Shanghai 200433, P. R. China;
  • 4. Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China;
GUO Shijie, Email: guoshijie@fudan.edu.cn; GUO Baolei, Email: baoleiguo2010@163.com
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Interventional embolization therapy is widely used for procedures such as targeted tumour therapy, anti-organ hyperactivity and haemostasis. During embolic agent injection, doctors need to work under X-ray irradiation environment. Moreover, embolic agent injection is largely dependent on doctors’ experience and feelings, and over-injection of embolic agent can lead to reflux, causing ectopic embolism and serious complications. As an effective way to reduce radiation exposure and improve the success rate of interventional embolization therapy, embolic agent injection robot is highly anticipated, but how to decide the injection flow velocity of embolic agent is a problem that remains to be solved. On the basis of fluid dynamics simulation and experiment, we established an arterial pressure-injection flow velocity boundary curve model that can avoid reflux, which provides a design basis for the control of embolic agent injection system. An in vitro experimental platform for injection system was built and validation experiments were conducted. The results showed that the embolic agent injection flow speed curve designed under the guidance of the critical flow speed curve model of reflux could effectively avoid the embolic agent reflux and shorten the embolic agent injection time. Exceeding the flow speed limit of the model would lead to the risk of embolization of normal blood vessels. This paper confirms the validity of designing the embolic agent injection flow speed based on the critical flow speed curve model of reflux, which can achieve rapid injection of embolic agent while avoiding reflux, and provide a basis for the design of the embolic agent injection robot.

Citation: LI Jiasheng, REN Dongcheng, ZHOU Bo, GUO Shijie, GUO Baolei. Research on injection flow velocity planning method for embolic agent injection system. Journal of Biomedical Engineering, 2022, 39(3): 579-585. doi: 10.7507/1001-5515.202201006 Copy

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