Visualizing diffusion-weighted MRI data using collaborative virtual environment and grid technologies.
Presented at: UNSPECIFIED.
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.
|Type:||Conference item (UNSPECIFIED)|
|Title:||Visualizing diffusion-weighted MRI data using collaborative virtual environment and grid technologies|
|Keywords:||Collaboration, Collaborative work, Computer science, Data visualization, Diffusion tensor imaging, Educational institutions, Magnetic resonance imaging, Surges, Tensile stress, Virtual environment|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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