A novel methodology for usability assesment of rheological soft tissue models

Árpád Takács, Péter Galambos, I. Rudas, Tamás Haidegger

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

1 Citation (Scopus)

Abstract

The task to distinguish between soft tissues by testing their mechanical properties is often referred to as the primary cognitive role of haptic devices. It is a common view that today's surgical simulators that are using haptic interfaces should rely on simple mechanical models of soft tissues, instead of complex, parameterized finite element models, thus enhancing real-time operation and focusing on the most representative mechanical effects. This paper proposes a user-trial validation method for tissue models and their polytopic representation by creating an experimental framework for soft tissue characterization, using the da Vinci Research Kit. The characterization methdodology relies on haptic feedback from the manipulated real tissue, extending the functionality of surgical simulators using virtual tissue models created by the previously proposed soft tissue modeling method. Results showed that the tissue model represents the tissue behavior sufficiently well for use in haptic simulators, based on user experience. Furthermore, it was concluded that silicon phantoms can mimic the behavior of real tissues in various surgical scenarios, especially when using teleoperation manipulation.

Original languageEnglish
Title of host publicationSAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-278
Number of pages8
ISBN (Electronic)9781509056545
DOIs
Publication statusPublished - Mar 16 2017
Event15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017 - Herl'any, Slovakia
Duration: Jan 26 2017Jan 28 2017

Other

Other15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017
CountrySlovakia
CityHerl'any
Period1/26/171/28/17

    Fingerprint

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Hardware and Architecture

Cite this

Takács, Á., Galambos, P., Rudas, I., & Haidegger, T. (2017). A novel methodology for usability assesment of rheological soft tissue models. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 271-278). [7880316] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI.2017.7880316