Automated Detection of Heterogeneity in Medical Tactile Images

Stud Health Technol Inform. 2016:220:383-9.

Abstract

Artificial tactile sensing is a capability important for many applications and, in particular, for endoscopic surgery. A recently developed Medical Tactile Endosurgical Complex (MTEC) that is a certified and commercially available product is an efficient tool that provides such a capability. Currently the analysis of intraoperative tactile images that are registered and visualized by MTEC is performed manually by a surgeon. We show that heterogeneity detection - a key constituent of intraoperative tactile images analysis - can be efficiently automated. Such automation essentially reduces the requirement of attention retaining during the MTEC-based palpation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Endoscopy / instrumentation*
  • Endoscopy / methods
  • Equipment Design
  • Equipment Failure Analysis
  • Humans
  • Palpation / instrumentation*
  • Palpation / methods
  • Pattern Recognition, Automated / methods*
  • Physical Stimulation / instrumentation*
  • Physical Stimulation / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Systems Integration
  • Touch / physiology*
  • Transducers, Pressure*