This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Visualizing and Segmenting Large Volumetric Data Sets
May/June 1999 (vol. 19 no. 3)
pp. 32-37
This implemented software environment combines the activities of data set segmentation with visualization. This environment both visually and computationally immerses the user, providing for intuitive exploration of volumetric data sets. By deemphasizing the technical process of visualization, this environment removes barriers to exploring large volumetric data sets and expands the audience of potential users. This is especially significant in an educational setting where learning results directly from exploration.

1. T.T. Elvins and D.R. Nadeau, "NetV: An Experimental Network-Based Volume Visualization System," Proc. Visualization '91, IEEE CS Press, Los Alamitos, Calif., 1991, pp. 239-244.
2. R.A. Robb and D.P. Hanson, "Analyze: A Software System for Biomedical Image Analysis," Proc. First Conf. Visualization in Biomedical Computing, IEEE Computer Society Press, Los Alamitos, Calif., May 1990, pp. 507-518.
3. S. Senger, "Incorporating Visible Human Project Data into the Undergraduate Anatomy and Physiology Curriculum," Proc. Medicine Meets Virtual Reality IV, IOS Press, Amsterdam, Jan. 1996, pp. 194-203.
4. C. Rosse et al., "Motivation and Organizational Principles for Anatomical Knowledge Representation: The Digital Anatomist Symbolic Knowledge Base," J. American Medical Informatics Association, Vol. 5, No. 1, 1998, pp. 17-40.

Citation:
Steven Senger, "Visualizing and Segmenting Large Volumetric Data Sets," IEEE Computer Graphics and Applications, vol. 19, no. 3, pp. 32-37, May-June 1999, doi:10.1109/38.761546
Usage of this product signifies your acceptance of the Terms of Use.