Moment Curves

Daniel Patel, Martin Haidacher, Jean-Paul Balabanian, Meister Eduard Gröller
Moment Curves
In Proceedings of the IEEE Pacific Visualization Symposium 2009, pages 201-208. April 2009.
[ Moment Curves] [ Paper]
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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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@inproceedings{patel_2009_MC,
  title =      "Moment Curves",
  author =     "Daniel Patel and Martin Haidacher and Jean-Paul Balabanian
               and Meister Eduard Gr{\"o}ller",
  year =       "2009",
  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.",
  pages =      "201--208",
  month =      apr,
  booktitle =  "Proceedings of the IEEE Pacific Visualization Symposium 2009",
  editor =     "Peter Eades, Thomas Ertl, Han-Wei Shen",
  isbn =       "978-1-4244-4404-5",
  location =   "Peking, China",
  keywords =   "Statistical Moments, Volume Classification, Statistics",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/",
}