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Shape-based Transfer Functions for Volume Visualization
University of Münster, Germany.
University of Münster, Germany.
University of Münster, Germany.
University of Münster, Germany.
2010 (English)In: Pacific Visualization Symposium (PacificVis), 2010 IEEE, IEEE , 2010, 9-16 p.Conference paper (Refereed)
Abstract [en]

We present a novel classification technique for volume visualization that takes the shape of volumetric features into account. The presented technique enables the user to distinguish features based on their 3D shape and to assign individual optical properties to these. Based on a rough pre-segmentation that can be done by windowing, we exploit the curve-skeleton of each volumetric structure in order to derive a shape descriptor similar to those used in current shape recognition algorithms. The shape descriptor distinguishes three main shape classes: longitudinal, surface-like, and blobby shapes. In contrast to previous approaches, the classification is not performed on a per-voxel level but assigns a uniform shape descriptor to each feature and therefore allows a more intuitive user interface for the assignment of optical properties. By using the proposed technique, it becomes for instance possible to distinguish blobby heart structures filled with contrast agents from potentially occluding vessels and rib bones. After introducing the basic concepts, we show how the presented technique performs on real world data, and we discuss current limitations.

Place, publisher, year, edition, pages
IEEE , 2010. 9-16 p.
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-93039DOI: 10.1109/PACIFICVIS.2010.5429624ISBN: e-978-1-4244-6686-3ISBN: 978-1-4244-6685-6OAI: diva2:623421
IEEE Pacific Visualization Symposium (PacificVis), 2-5 March 2010, Taipei, Taiwan
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2013-06-04Bibliographically approved

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Ropinski, Timo
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