Visual tracking of surgical tools for proximity detection in retinal surgery

Rogério Richa, Marcin Balicki, Eric Meisner, Raphael Sznitman, Russell Taylor, Gregory Hager

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

Abstract

In retinal surgery, surgeons face difficulties such as indirect visualization of surgical targets, physiological tremor and lack of tactile feedback. Such difficulties increase the risks of incorrect surgical gestures which may cause retinal damage. In this context, robotic assistance has the potential to overcome current technical limitations and increase surgical safety. In this paper we present a method for robustly tracking surgical tools in retinal surgery for detecting proximity between surgical tools and the retinal surface. An image similarity function based on weighted mutual information is specially tailored for tracking under critical illumination variations, lens distortions, and rapid motion. The proposed method was tested on challenging conditions using a phantom eye and recorded human in vivo data acquired by an ophthalmic stereo microscope.

Original languageEnglish (US)
Title of host publicationInformation Processing in Computer-Assisted Interventions - Second International Conference, IPCAI 2011, Proceedings
Pages55-66
Number of pages12
DOIs
StatePublished - Jun 30 2011
Event2nd International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2011 - Berlin, Germany
Duration: Jun 22 2011Jun 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6689 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2011
CountryGermany
CityBerlin
Period6/22/116/22/11

Keywords

  • mutual information
  • robotic assisted retinal surgery
  • visual tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Richa, R., Balicki, M., Meisner, E., Sznitman, R., Taylor, R., & Hager, G. (2011). Visual tracking of surgical tools for proximity detection in retinal surgery. In Information Processing in Computer-Assisted Interventions - Second International Conference, IPCAI 2011, Proceedings (pp. 55-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6689 LNCS). https://doi.org/10.1007/978-3-642-21504-9_6