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

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

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語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
CityGwangju
Period13/10/2013/10/23

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 電子工学および電気工学

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