Computed tomography guided laparoscopy: Proof of concept

Adrian Park, Erica Sutton, Raj Shekhar

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

Abstract

Current generation minimally invasive surgeries present many visualization challenges, including two-dimensional representation of three-dimensional anatomy and a lack of visualization of deeply recessed structures. Coupled with the loss of tactile feedback which places greater emphasis on available visual cues, improved surgical visualization remains a long-standing need. Our response to address this need is Live Augmented Reality (Live AR), in which processed images from live radiologic scans of the surgical field are merged with optical images, accounting for spatial and temporal registration. We have demonstrated the feasibility of Live AR, but its clinical implementation is hampered by many current technical limitations. In this report, we have presented guidance of a simple laparoscopic maneuver completely based on computed tomography (CT) scanning and rapid 3D rendering of the acquired images in the CT room. The capability developed here and the reported results constitute a step toward the eventual goal of routine clinical implementation of Live AR.

Original languageEnglish (US)
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Pages213-215
Number of pages3
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore
Duration: Dec 7 2010Dec 10 2010

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Other

Other11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
CountrySingapore
CitySingapore
Period12/7/1012/10/10

Keywords

  • Augmented reality
  • Computed tomography
  • Minimally invasive surgery
  • Surgical visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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