Advancements in immersive VR as a tool for preoperative planning for laparoscopic surgery

Michael J. Mastrangelo, Jeremy Stich, James D. Hoskins, Wayne Witzke, Ivan George, Jason Garrison, Mathew Nichols, Adrian E. Park

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

5 Scopus citations

Abstract

The utility of three-dimensional (3D) models for planning laparoscopic surgery and surgical training has been demonstrated. (1) Computed tomography (CT) scans with oral and intravenous contrast medium are frequently used for preoperative evaluation of patients undergoing complex laparoscopic surgery. Immersive 3D VR overcomes many of the conceptual limitations encountered when conveying or teaching 3D relationships via 2D images traditionally produced by these scans. Over the past year we have made advancements in several areas. First, we have improved the quality of our datasets by utilizing higher resolution multi-detector scans and altering the protocols used. Second, we now register multiple isosurface views with standard axial views and volume textured views to provide additional information and perspective. Third, we now routinely use auto-segmentation techniques to visualize individual structures.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 02/10 - Digital Upgrades
Subtitle of host publicationApplying Moore's Law to Health
PublisherIOS Press
Pages274-279
Number of pages6
ISBN (Print)1586032038, 9781586032036
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002 - Newport Beach, CA, United States
Duration: Jan 23 2002Jan 26 2002

Publication series

NameStudies in Health Technology and Informatics
Volume85
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002
Country/TerritoryUnited States
CityNewport Beach, CA
Period1/23/021/26/02

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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