Augmented reality visualization for computer assisted surgical training

Akash Shankaran, Jerzy W. Rozenblit

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

1 Scopus citations


Laparoscopic surgical training systems limit the users' depth perception and hand-eye coordination due to the use of a 2D camera image. In this paper, we present an approach to enhance visualization using augmented reality which aids in hand-eye coordination and depth perception in the operating environment. An optimal path is calculated in a 3D space and projected onto a 2D camera image. The mapping from the 3D to 2D coordinate system is calculated using least squares camera calibration method. Instrument tip location in space is calculated using feedback from encoders attached to them. We combine the information about the instrument tip and optimal path to achieve robust visualization.

Original languageEnglish (US)
Title of host publicationComputer Aided Systems Theory, EUROCAST 2013 - 14th International Conference, Revised Selected Papers
Number of pages8
EditionPART 2
ISBN (Print)9783642538612
StatePublished - 2013
Event14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 - Las Palmas de Gran Canaria, Spain
Duration: Feb 10 2013Feb 15 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other14th International Conference on Computer Aided Systems Theory, EUROCAST 2013
CityLas Palmas de Gran Canaria


  • Laparoscopic surgical training
  • augmented reality
  • minimally invasive surgery
  • visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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