[1]项毓嘉,谢 叻*.血管介入微创手术机器人系统控制研究[J].江西师范大学学报(自然科学版),2020,(03):231-234.[doi:10.16357/j.cnki.issn1000-5862.2020.03.03]
　XIANG Yujia,XIE Le*.The Research on the Control of the Minimally Invasive Surgery Robot for Vascular Intervention[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(03):231-234.[doi:10.16357/j.cnki.issn1000-5862.2020.03.03]
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血管介入微创手术机器人系统控制研究()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年03期
页码:
231-234
栏目:
虚拟现实研究
出版日期:
2020-06-10

文章信息/Info

Title:
The Research on the Control of the Minimally Invasive Surgery Robot for Vascular Intervention
文章编号:
1000-5862(2020)03-0231-04
作者:
项毓嘉1; 谢 叻1; 2*
1.上海交通大学医疗机器人研究院,上海 200240; 2.泉州师范学院,福建 泉州 362000
Author(s):
XIANG Yujia1; XIE Le1; 2*
1.Institute of Medical Robot,Shanghai Jiao Tong University,Shanghai 200240,China; 2.Quanzhou Normal University,Quanzhou Fujian 362000,China
关键词:
血管介入;  主从控制;  遥操作;  多器械协同
Keywords:
vascular intervention;  master-slave control;  teleoperation;  multi-instrument cooperation
分类号:
R 318.6; TP 391.9
DOI:
10.16357/j.cnki.issn1000-5862.2020.03.03
文献标志码:
A
摘要:
医生在进行血管介入手术过程中需要实时的X射线图像引导,而长时间的射线辐射会严重危害医生的健康.为了减小介入医生在手术过程中受到的辐射伤害,该文研究了一款基于双主手控制的血管介入微创手术机器人系统,并对其整体框架和控制方法进行研究.医生可通过上位机界面交互,进行主从遥操作,驱动从端机构完成介入手术操作.最后进行了血管模型试验,验证了该文的介入手术机器人具备多器械协同递送的功能.
Abstract:
Real-time X-ray image guidance is necessary for the process of vascular interventional surgery,but long-term radiation exposure becomes a severe issue threatening surgeon's health.In order to reduce the radiation injury,a minimally invasive surgery robot system based on double-master-hand control is introduced,and its overall framework and control method are mainly studied.Surgeon operates the interactive interface of the upper computer,and drive the actuator to complete the interventional operation through master-slave remote control.Finally,a model experiment is carried out to prove that the robot has the function of multi-instrument collaborative delivery.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-12-10
基金项目:福建省科技计划引导性(2018H0032),泉州市科技计划(2018Z028),上海市科委科技支撑(17441903800),国家自然科学基金(61672341,61973211,51911540479),上海交通大学“医工(理)交叉研究基金”(YG2017ZD03),上海交通大学医疗机器人研究院和国家重点研发计划(2017YFB1302900)资助项目.
通信作者:谢 叻(1964-),男,江西南昌人,教授,博士,博士生导师,闽江学者讲座教授,主要从事医疗机器人技术、虚拟现实技术和数字化制造技术的研究.E-mail:Lexie@sjtu.edu.cn
更新日期/Last Update: 2020-06-10