Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies

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Theory and Practice of Computer Graphics 2003

University of Birmingham, UK

June 03-June 05

ISBN: 0-7695-1942-3

	ASCII Text	x
	A. Steed, D. Alexander, P. Cook, C. Parker, "Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies," Theory and Practice of Computer Graphics, pp. 156, Theory and Practice of Computer Graphics 2003, 2003.

	BibTex	x
	@article{ 10.1109/TPCG.2003.1206943, author = {A. Steed and D. Alexander and P. Cook and C. Parker}, title = {Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies}, journal ={Theory and Practice of Computer Graphics}, volume = {0}, year = {2003}, isbn = {0-7695-1942-3}, pages = {156}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPCG.2003.1206943}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Theory and Practice of Computer Graphics TI - Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies SN - 0-7695-1942-3 SP EP A1 - A. Steed, A1 - D. Alexander, A1 - P. Cook, A1 - C. Parker, PY - 2003 KW - null VL - 0 JA - Theory and Practice of Computer Graphics ER -

A. Steed, University College London

D. Alexander, University College London

P. Cook, University College London

C. Parker, University College London

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPCG.2003.1206943

We describe a collaborative virtual environment system for visualization of diffusion magnetic resonance imaging scans. The system represents the 3D data by arrays of polyhedra, coloured 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 procesess that compute tracks that depict white matter fibre pathways through the brain. These tracks are computed on a Grid service currently supporting 72 nodes on a Beowulf cluster.

Citation:

A. Steed, D. Alexander, P. Cook, C. Parker, "Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies," tpcg, pp.156, Theory and Practice of Computer Graphics 2003, 2003

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