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Proceedings Paper

Augmented-reality-based segmentation refinement
Author(s): Alexander Bornik; Bernhard Reitinger; Reinhard Beichel; Erich Sorantin; Georg Werkgartner
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Paper Abstract

Planning of surgical liver tumor resections based on image data from X-ray computed tomography requires correct segmentation of the liver, liver vasculature and pathological structures. Automatic liver segmentation methods frequently fail in cases where the anatomy is degenerated by lesions or other present liver diseases. On the other hand performing a manual segmentation is a tedious and time consuming task. Therefore Augmented Reality based segmentation refinement tools are reported, that aid radiologists to efficiently correct incorrect segmentations in true 3D using head-mounted displays and tracked input devices. The developed methods facilitate segmentation refinement by interactively deforming a mesh data structure reconstructed from an initial segmentation. The variety of refinement methods are all accessible through the intuitive, direct 3D user interface of an Augmented Reality system.

Paper Details

Date Published: 5 May 2004
PDF: 11 pages
Proc. SPIE 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, (5 May 2004); doi: 10.1117/12.535478
Show Author Affiliations
Alexander Bornik, Graz Univ. of Technology (Austria)
Bernhard Reitinger, Graz Univ. of Technology (Austria)
Reinhard Beichel, Graz Univ. of Technology (Austria)
Erich Sorantin, Graz Univ. Hospital (Austria)
Georg Werkgartner, Graz Univ. Hospital (Austria)


Published in SPIE Proceedings Vol. 5367:
Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway Jr., Editor(s)

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