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Overlapping radiofrequency ablation planning and robot‐assisted needle insertion for large liver tumors

Ping Liu, Jing Qin, Bin Duan, Qiong Wang, Xiaoyu Tan, Baoliang Zhao, Peneyra Libao Jonnathan, Chee‐Kong Chui, Pheng‐Ann Heng

Year
2018
Citations
24

Abstract

BACKGROUND: We aimed at facilitating percutaneous radiofrequency ablation (RFA) for large tumors with accurate overlapping ablation planning and robot-assisted needle insertion from a single incision port (SIP). METHODS: We developed a personalized and quantitative RFA planning method to obtain multiple needle overlapping ablation planning through a single incision. A robot with a remote center of motion mechanism was designed to perform needle insertions through a SIP according to the planning. RESULTS: Numerical and visual evaluation showed that the planning could yield nearly full coverage over large tumors and greatly reduce both ablation times and the ablations of normal tissues. Ex vivo and in vivo experiments showed that our robot-assisted needle insertion system was capable of conducting the RFA procedure in large liver tumors from a SIP. CONCLUSIONS: Robot-assisted RFA needle insertions from a SIP makes RFA treatment for large tumors more minimally invasive, predictable, and repeatable.

Keywords

Radiofrequency ablationAblationPercutaneousMedicineRobotSurgical planningComputer scienceRadiologyBiomedical engineeringArtificial intelligence

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