Abstract | ||
---|---|---|
We present a system which visualizes the geometric disparity between white matter tracts obtained from DT-MRI by coloring in perceptually uniform color space and allows expert users of the application to select regions interactively with a 2D based sketching mechanism. This approach, in contrast to automatically clustering tracts, better reflects the uncertainity in forming scientific model from geometric information and the 2D sketching interface exploits neuroscientists' expertise with sectional anatomy. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1145/1179622.1179820 | SIGGRAPH Research Posters |
Field | DocType | ISBN |
Computer vision,Curvature,Color space,Computer graphics (images),Segmentation,Computer science,Scientific modelling,Artificial intelligence,Cluster analysis,Perception,Sectional Anatomy | Conference | 1-59593-364-6 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wenjin Zhou | 1 | 4 | 1.09 |
Peter G. Sibley | 2 | 46 | 5.03 |
Song Zhang | 3 | 2 | 1.13 |
David F Tate | 4 | 60 | 5.42 |
David H. Laidlaw | 5 | 1781 | 234.58 |