Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/PACIFICVIS.2009.4906857 | PacificVis |
Keywords | DocType | Citations |
important trend,moment curve,transfer function,robust classification,material border,statistical moment,MR data | Conference | 6 |
PageRank | References | Authors |
0.46 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Patel | 1 | 116 | 7.99 |
| Martin Haidacher | 2 | 71 | 3.16 |
| Jean-Paul Balabanian | 3 | 19 | 2.11 |
| Eduard Gröller | 4 | 1125 | 94.22 |