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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
Pages288-293
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju
Duration: 2013 Oct 202013 Oct 23

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CityGwangju
Period13/10/2013/10/23

Keywords

  • bio-modeling
  • minimally invasive surgery
  • Percutaneous robots

ASJC Scopus subject areas

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

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