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Visualization Symposium, IEEE Pacific (2009)
Beijing, China
Apr. 20, 2009 to Apr. 23, 2009
ISBN: 978-1-4244-4404-5
pp: 201-208
Eduard M. Groller , Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Martin Haidacher , Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Daniel Patel , Christian Michelsen Research, Bergen, Norway
Jean-Paul Balabanian , Department of Informatics, University of Bergen, Norway
ABSTRACT
We define a transfer function based on the first and second statistical moments. We consider the evolution of the mean and variance with respect to a growing neighborhood around a voxel. This evolution defines a curve in 3D for which we identify important trends and project it back to 2D. The resulting 2D projection can be brushed for easy and robust classification of materials and material borders. The transfer function is applied to both CT and MR data.
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CITATION
Eduard M. Groller, Martin Haidacher, Daniel Patel, Jean-Paul Balabanian, "Moment curves", Visualization Symposium, IEEE Pacific, vol. 00, no. , pp. 201-208, 2009, doi:10.1109/PACIFICVIS.2009.4906857
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