DocumentCode :
799412
Title :
Network requirements for 3-D flying in a zoomable brain database
Author :
Claypool, M. ; Riedl, J. ; Carlis, J. ; Wilcox, G. ; Eide, R. ; Retzel, E. ; Georgopoulos, A. ; Pardo, J. ; Ugurbil, K. ; Miller, B. ; Honda, C.
Author_Institution :
Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA
Volume :
13
Issue :
5
fYear :
1995
fDate :
6/1/1995 12:00:00 AM
Firstpage :
816
Lastpage :
827
Abstract :
In laboratories around the world, neuroscientists from diverse disciplines are exploring various aspects of brain structure. Because of the size of the domain, neuroscientists must specialize, making it difficult to fit results together, causing some research efforts to be duplicated because of lack of sharing of information. The authors have begun a long-term project to build a neuroscience research database for brain structure. One aspect of the database is the ability to visualize high-quality, high-resolution micrographs montaged together into 3-D structures as they were in the living brain. As demonstrated in this paper´s analysis, realistic presentation of these visualizations across computer networks will stress current and proposed gigabit networks. Image compression can reduce network loads, but wide-spread use of the visualizations will still require networks capable of sustaining terabits per second of throughput
Keywords :
biomedical NMR; brain; computer networks; data compression; data visualisation; image coding; medical image processing; neurophysiology; visual databases; 3-D structures; brain structure; computer networks; gigabit networks; high-resolution micrographs; image compression; laboratories; magnetic resonance imaging; network requirements; neuroscience research database; neuroscientists; visualizations; zoomable brain database; Brain; Image databases; Intelligent networks; Laboratories; Magnetic resonance imaging; Microscopy; Nervous system; Neuroscience; Visual databases; Visualization;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.391754
Filename :
391754
Link To Document :
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