Details

Autor(en) / Beteiligte

• Gunderman, Anthony L.
• Musa, Mishek
• Gunderman, Benjamin O.
• Banovac, Filip
• Cleary, Kevin
• Yang, Xiaofeng
• Chen, Yue

Titel

Autonomous Respiratory Motion Compensated Robot for CT-Guided Abdominal Radiofrequency Ablations

Ist Teil von

• IEEE transactions on medical robotics and bionics, 2023-05, Vol.5 (2), p.206-217

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2023

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Radiofrequency ablation (RFA) is an effective minimally-invasive treatment used for a variety of solid tumor cancers, including lung, breast, kidney, pancreatic, and liver. However, effective RFA for abdominal tumors relies on accurate ablation needle targeting, which can be a challenging task due to respiratory motion. This paper presents the design, fabrication, modeling, and benchtop characterization of a CT-guided parallel robot, and a novel respiration motion compensation protocol (RMCP) for effective robot-assisted abdominal RFA needle placement. The robot consists of a Stewart platform with a friction drive roller insertion module for autonomous needle deployment. Strain energy models are used to predict needle insertion force, the primary technical contribution of this work, providing a mean error of 0.490.28 N. The free-space accuracy characterization experiments indicate that the robotic platform is able to provide a needle tip position and orientation accuracy of 2.000.75 mm and 0.810.48°, respectively. A dynamic targeting experiment using an ex-vivo liver indicates an improvement in position and orientation error of 57% and 30%, respectively, when using the proposed RMCP. Finally, an animal study using a sexually-mature swine undergoing assisted respiration at nine breaths per minute indicates a 77% reduction in additional insertion displacement when using the RMCP.