Abstract
In this paper, we discuss our on-going efforts for an interactive scientific visualization of high-resolution brain imagery over networked tiled display. It targets to visualize a brain in both 2D and 3D. It also supports multiple highresolution displays of brain images by integrating networked tiled display while providing interactive control of display resolution and view direction. In order to construct an appropriate visualization system for brain imaging researches, we study and compare existing visualization systems using a networked tiled display. Based on this comparison, we integrate visualization features on our brain visualization system. Finally, to verify the usefulness of the proposed approach, an initial implementation of EIT brain image visualization is being made.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
B Corrie et. al., “Towards quality of experience in advanced collaborative environments,” in Proc. Workshop on Advanced Collaborative Environments, Seattle, June 2003.
HiperWall: http://hiperwall.calit2.uci.edu/.
L Renambot et. al., “SAGE: The scalable adaptive graphics environment,” in Proc. Workshop on Advanced Collaborative Environments, Nice, France, Sep. 2004.
CGLX Project: http://vis.ucsd.edu/∼cglx/.
N K Krishnaprasad et. al., “JuxtaView – a tool for interactive visualization of large imagery on scalable tiled displays,” in Proc. IEEE Cluster 2004, San Diego, Sep. 2004.
N Schwarz et. al., “Vol-a-Tile - a tool for interactive exploration of large volumetric data on scalable tiled displays,” in Proc. IEEE Visualization 2004, Austin, Oct. 2004.
Rain Table: http://www.evl.uic.edu/cavern/mc/raintable/.
H Chen et. al., “Data distribution strategies for high-resolution displays”, Computers & Graphics, Volume 25, Issue 5, Pages 811-818, Oct. 2001
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this paper
Cite this paper
Son, S., Hong, J., Bae, C., Jun, S.C., Kim, J.W. (2010). Interactive Scientific Visualization of High-resolution Brain Imagery Over Networked Tiled Display. In: Byeon, OH., Kwon, J., Dunning, T., Cho, K., Savoy-Navarro, A. (eds) Future Application and Middleware Technology on e-Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1719-5_13
Download citation
DOI: https://doi.org/10.1007/978-1-4419-1719-5_13
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-1718-8
Online ISBN: 978-1-4419-1719-5
eBook Packages: Computer ScienceComputer Science (R0)