Title :
Diffusion Tensor Visualization with Glyph Packing
Author :
Kindlmann, Gordon ; Westin, Carl-Fredrik
Author_Institution :
Dept. of Radiol., Harvard Med. Sch., Boston, MA
Abstract :
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
Keywords :
biomedical MRI; brain; data visualisation; medical image processing; mesh generation; tensors; tumours; anisotropic mesh generation; brain tumor; diffusion tensor visualization; fiber tractography; glyph packing; patient DT-MRI scan; surface modeling; Anisotropic magnetoresistance; Convolution; Data visualization; Diffusion tensor imaging; Laboratories; Mesh generation; Potential energy; Sampling methods; Shape measurement; Tensile stress; Diffusion tensor; anisotropic sampling; fiber tractography; glyphs; particle systems; Bayes Theorem; Clinical Trials as Topic; Dose-Response Relationship, Drug; Humans; Maximum Tolerated Dose; Regression Analysis;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2006.134