Image-guided robotic system for radiofrequency ablation of large liver tumor with single incision

Radiofrequency (RF) ablation surgery is effective in liver tumor treatment with non-collateral damage and reduced blood loss. However, the surgery is challenging for large tumor ablation in a minimally invasive procedure. In this paper, we developed a surgical robot system incorporating medical image information and surgeon's planning knowledge to realize a minimally invasive procedure for large liver tumor treatment through a single incision. The system includes a surgical robot designed with spherical arc structures, medical image processing and planning, and trajectory generation modules. With planning strategies applied to medical images, multiple trajectories are automatically generated. ex-vivo and in-vivo tests were conducted and the experimental results demonstrated that the multiple RF needle insertion could accurately reach the target area and the required needle incision ports were significantly reduced.

[1]  Garth H Ballantyne,et al.  The da Vinci telerobotic surgical system: the virtual operative field and telepresence surgery. , 2003, The Surgical clinics of North America.

[2]  Pierre E. Dupont,et al.  Mechanics of Dynamic Needle Insertion into a Biological Material , 2010, IEEE Transactions on Biomedical Engineering.

[3]  Chai Hong Yeong,et al.  Robot-assisted radiofrequency ablation of primary and secondary liver tumours: early experience , 2013, European Radiology.

[4]  Dan Stoianovici,et al.  Robotic Assisted Radio-Frequency Ablation of Liver Tumors - Randomized Patient Study , 2005, MICCAI.

[5]  Chee-Kong Chui,et al.  A Robotic System for Overlapping Radiofrequency Ablation in Large Tumor Treatment , 2010, IEEE/ASME Transactions on Mechatronics.

[6]  K. Tranberg Percutaneous ablation of liver tumours. , 2004, Best practice & research. Clinical gastroenterology.

[7]  Vincent Hayward,et al.  Multiple-goal kinematic optimization of a parallel spherical mechanism with actuator redundancy , 1992, IEEE Trans. Robotics Autom..

[8]  A. Okamura,et al.  Characterization of robotic needle insertion and rotation in artificial and ex vivo tissues , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[9]  Pietro Marco Congedo,et al.  Simplex-simplex approach for robust design optimization , 2011 .

[10]  Sim Heng Ong,et al.  Projection-based visual guidance for robot-aided RF needle insertion , 2013, International Journal of Computer Assisted Radiology and Surgery.

[11]  Liangjing Yang,et al.  Current technology in navigation and robotics for liver tumours ablation. , 2011, Annals of the Academy of Medicine, Singapore.