Diffusion tensor visualization with glyph packing

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 ca...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 12(2006), 5 vom: 11. Sept., Seite 1329-35
Auteur principal: Kindlmann, Gordon (Auteur)
Autres auteurs: Westin, Carl-Fredrik
Format: Article
Langue:English
Publié: 2006
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article
LEADER 01000caa a22002652c 4500
001 NLM166362530
003 DE-627
005 20250207181555.0
007 tu
008 231223s2006 xx ||||| 00| ||eng c
028 5 2 |a pubmed25n0555.xml 
035 |a (DE-627)NLM166362530 
035 |a (NLM)17080869 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Kindlmann, Gordon  |e verfasserin  |4 aut 
245 1 0 |a Diffusion tensor visualization with glyph packing 
264 1 |c 2006 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Completed 12.01.2007 
500 |a Date Revised 10.11.2019 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a 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 
650 4 |a Journal Article 
700 1 |a Westin, Carl-Fredrik  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1996  |g 12(2006), 5 vom: 11. Sept., Seite 1329-35  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnas 
773 1 8 |g volume:12  |g year:2006  |g number:5  |g day:11  |g month:09  |g pages:1329-35 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 12  |j 2006  |e 5  |b 11  |c 09  |h 1329-35