Event classification in percutaneous treatments based on needle insertion force pattern analysis

Inko Elgezua, Sangha Song, Yo Kobayashi, Masakatsu G. Fujie

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

Percutaneous treatments are becoming a common minimally invasive treatment for cancer. Surgeons must introduce a needle into a cancerous area to perform a biopsy or kill the cancer, but this is a complex procedure that often misses the target. Novel robotic devices to assist in percutaneous treatments are being developed. Most systems use preoperative FEM simulation to calculate a needle trajectory that will hit the target, or US image needle guidance. However, neither of them are fully satisfactory. Ideally, real-time simulators should be used for intraoperative robot control, but, they lack accuracy. We propose a new method to provide information about the current situation during a needle insertion using needle insertion force pattern recognition. This information can be used as feedback for simulators or robot control in order to increase their accuracy.

元の言語English
ホスト出版物のタイトルInternational Conference on Control, Automation and Systems
ページ288-293
ページ数6
DOI
出版物ステータスPublished - 2013
イベント2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju
継続期間: 2013 10 202013 10 23

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
Gwangju
期間13/10/2013/10/23

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

これを引用

Elgezua, I., Song, S., Kobayashi, Y., & Fujie, M. G. (2013). Event classification in percutaneous treatments based on needle insertion force pattern analysis. : International Conference on Control, Automation and Systems (pp. 288-293). [6703910] https://doi.org/10.1109/ICCAS.2013.6703910