Virtual endoscopy with automated fly-through trajectory

Shigeo Okuda, Joachim Kettenbach, Andreas Schreyer, Vik Moharir, Toshio Nakagori, Ferenc Jolesz, Abdaimajeid M. Alyassin, William E. Lorensen, Ron Kikinis

Research output: Contribution to journalConference articlepeer-review

Abstract

Currently, many applications for virtual endoscopy (VE) are available but fly-through is still troublesome. We are using Virtual Endoscopy Software Application (VESA) in our laboratory. VESA generates a 3D model with surface rendering method and a fly-through trajectory automatically. In this study, our goal is to evaluate the usefulness of VESA for generating virtual endoscopy (VE) images and automated fly-through trajectory. We applied VESA to clinical cases including colon, biliary ducts, aortic dissection and larynx. Original cross-sectional images were either spiral CT or MRI. VESA's advantages are following features. First, VESA can generate VE images with simple operation. Second, a point to point correspondence is established between 2D images / 3D models and VE images. Third, automated trajectory runs more closely to the center of the hollow organ. VESA is a user-friendly tool for generating the VE images and its automated trajectory reduces the operating time. VESA provides a unique visualization component and makes VE more practical.

Original languageEnglish
Pages (from-to)234-240
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3660
Publication statusPublished - 1999 Jan 1
Externally publishedYes
EventProceedings of the 1999 Medical Imaging - Physiology and Function from Multidimensional Images - San Diego, CA, USA
Duration: 1999 Feb 211999 Feb 23

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Virtual endoscopy with automated fly-through trajectory'. Together they form a unique fingerprint.

Cite this