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Diffusion Tensor Visualization with Glyph Packing
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Institution: |
Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, USA. gk@bwh.harvard.edu |
Publisher: |
IEEE Trans Vis Comput Graph |
Publication Date: |
Sep-2006 |
Volume Number: |
12 |
Issue Number: |
5 |
Citation: |
IEEE Trans Vis Comput Graph 2006 Sep-Oct;12(5):1329-35. |
PubMed ID: |
17080869 |
Keywords: |
Diffusion Tensor, Glyphs, Anisotropic Sampling, Particle systems, Fiber Tractography |
Appears in Collections: |
LMI, NAC, NCIGT, SLICER |
Sponsors: |
NIBIB T32 EB002177 NCRR U41 RR019703-01 NIH P41 RR13218 Brain Science Foundation |
Generated Citation: |
Kindlmann G., Westin C-F. Diffusion Tensor Visualization with Glyph Packing. IEEE Trans Vis Comput Graph 2006 Sep-Oct;12(5):1329-35. PMID: 17080869. |
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| Paper: | Download, View online |
| Export citation: |
A common goal of multivariate visualization is to enable data inspection at discrete points, while also illustrating larger-scale continuous structures. In diffusion tensor visualization, glyphs are typically used to meet the first goal, and methods such as texture synthesis or fiber tractography can address the second. We adapt particle systems originally developed for surface modeling and anisotropic mesh generation to enhance the utility of glyph-based tensor visualizations. By carefully distributing glyphs throughout the field (either on a slice, or in the volume) into a dense packing, using potential energy profiles shaped by the local tensor value, we remove undue visual emphasis of the regular sampling grid of the data, and the underlying continuous features become more apparent. The method is demonstrated on a DT-MRI scan of a patient with a brain tumor.
Additional Material
1 File (191.976kB)
Kindlmann-TVCG2006-fig.jpg (191.976kB)