Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
| Publisher | IEEE |
| Pages | 284-289 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467379700 |
| DOIs | |
| Publication status | Published - 16 Dec 2015 |
| Externally published | Yes |
| Event | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 - Kintex, Goyang City, Korea, Republic of Duration: 28 Oct 2015 → 30 Oct 2015 |
Conference
| Conference | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Goyang City |
| Period | 28/10/15 → 30/10/15 |
Keywords
- image guidance
- minimally invasive surgery
- path planning
- remote center of motion
- Surgical robot
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
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