Conference proceeding
Augmented-reality-based segmentation refinement
Proceedings of SPIE, Vol.5367(1), pp.77-87
Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display
05/05/2004
DOI: 10.1117/12.535478
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.
Details
- Title: Subtitle
- Augmented-reality-based segmentation refinement
- Creators
- Alexander Bornik - Graz University of TechnologyBernhard Reitinger - Graz University of TechnologyReinhard Beichel - Graz University of TechnologyErich Sorantin - University of GrazGeorg Werkgartner - University of Graz
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5367(1), pp.77-87
- Conference
- Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display
- DOI
- 10.1117/12.535478
- ISSN
- 0277-786X
- Language
- English
- Date published
- 05/05/2004
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197454502771
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