Visualizing diffusion-weighted MRI data using collaborative virtual environment and grid technologies

Author

Steed, A. ; Alexander, D. ; Cook, P. ; Parker, C.

Author_Institution

Dept. of Comput. Sci., Univ. Coll. of London, UK

fYear

2003

Firstpage

156

Lastpage

161

Abstract

We describe a collaborative virtual environment system for visualization of diffusion magnetic resonance imaging scans. The system represents the 3D (three-dimensional) data by arrays of polyhedra, colored by the degree of anisotropy and directed by the principal component of the diffusion tensor. Users can then collaboratively explore the data and interactively spawn tractography processes that compute tracks that depict white matter fiber pathways through the brain. These tracks are computed on a Grid service currently supporting 72 nodes on a Beowulf cluster.

Keywords

biomedical MRI; data visualisation; groupware; virtual reality; 3D data; Beowulf cluster; anisotropy; brain; collaborative virtual environment; data visualization; diffusion magnetic resonance imaging scan; diffusion tensor; diffusion-weighted MRI; fiber pathway; grid service; grid technology; polyhedra array; three-dimensional data; tractography process spawning; Collaboration; Collaborative work; Computer science; Data visualization; Diffusion tensor imaging; Educational institutions; Magnetic resonance imaging; Surges; Tensile stress; Virtual environment;

fLanguage

English

Publisher

ieee

Conference_Titel

Theory and Practice of Computer Graphics, 2003. Proceedings

Print_ISBN

0-7695-1942-3

Type

conf

DOI

10.1109/TPCG.2003.1206943

Filename

1206943