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Visualization
Research in visualization is centered on transforming complex datasets into
representations that are visually meaningful, intuitive, and easier to
manipulate and interpret. The goal is to explore computational approaches that
facilitate both the representation and interpretation of geometrically complex
structures and dynamic processes. Thus, the overall objective is to discover
ways to see, and communicate about, such systems. The fundamental
issues and scientific questions include:
- How can multidimensional information fields be effectively represented?
- How can complex visualization models, or interpretations of these models,
be communicated easily and unambiguously to someone else?
- What constitutes a good (or better) visualization?
- What are appropriate mechanisms for supporting intuitive, highly
interactive visualizations of complex systems?
- Can virtual or immersible environments be employed to create useful
and effective visualizations?
- What underlying mathematical, graphical, and/or computational methods
are appropriate to support useful visualization models?
- How can knowledge from other relevant yet separate disciplines
(such as human-computer interaction, artificial intelligence, and image
processing principles and techniques) be integrated within the visualization
process?
These research questions contribute to, and benefit from, a number of academic
courses in computer graphics, human-computer interaction, and visualization.
Special research emphasis is placed on the visualization of physically
realizable systems, particularly on biomedical structures and processes, or on
information derived from medical imagery. Examples of the types of research
themes that emerge in this context are:
- Approaches to create interactive, quantitative 3D
displays, as in the display of three-dimensional (3D) cardiovascular
perfusion distribution data.
- Algorithms for fusing multidimensional,
multimodality information, as illustrated by methods aimed at integrating
3D data sets derived from nuclear perfusion and X-ray angiographic imagery.
- Visualization of 4D (dynamic) structures, such as a beating heart obtained
from cardiac magnetic resonance imaging (HeartVis).
- Methods to support collaborative visualization of
multimedia information, wherein collaborators are geographically distributed.
Publications:
- "Three-Dimensional Cardiac Imaging,"
L. Klein, E. Garcia, C.
Cooke, J. Peifer, and N. Ezquerra. Proceedings of Cardiovascular Science
and Technology Conference, 1995.
- "Three-Dimensional Displays of Left Ventricular Epicardial Surface from
Standard Cardiac SPECT Perfusion Quantification Techniques,"
T.
Faber, D. Cooke, J. Peifer, et al. Journal Nuclear Medicine, Vol. 36, No.
4, pp. 697-703, April 1995.
- "PerfSPECTive","
Software disclosure filed with the Georgia
Institute of Technology, Office of Technology Licensing, March 1994.
- "Interactive 3D MRI Display,"
R. Pettigrew, Y. Jean, and others.
Abstracts of 79th. Scientific Assembly of the Radiological Society of
North America, Chicago, IL, 1993.
- "Visualization of Multimodality Cardiac Imagery,"
J. Peifer, E.
Garcia, D. Cooke, L. Klein, R. Folks, and N. Ezquerra. Proc. Vis. in
Biomed. Comp. Conf. (VBC '92), pp. 225-233, Chapel Hill, NC, October
1992.
- "Visualization of Multimodality Cardiac Imagery,"
J. W. Peifer,
N. F. Ezquerra, C. D. Cooke, R. Mullick, L. Klein, M. E. Hyche, and E. V.
Garcia. IEEE Transactions on Biomedical Engineering, vol. 37, no. 8, pp.
744-756, August 1990.
- "Coronary Vasculature Visualization from Limited Angiographic
Views,"
J. W. Peifer, R. Mullick, N. F. Ezquerra, M. E. Hyche, E. V.
Garcia, L. Klein, and C. D. Cooke. IEEE Proc. of the First Conference on
Visualization in Biomedical Computing, Atlanta, GA, pp. 195-200, May
1990.
- "Visualization of Multimodality Cardiac Imagery,"
J. Peifer, N.
Ezquerra, C. Cooke, R. Mullick, L. Klein, E. Hyche, and E. Garcia. IEEE
Trans. Biomed. Eng., August 1989.
- "Techniques and Artificial Intelligence in Cardiac Imaging,"
E.
DePuey, E. Garcia, and N. Ezquerra. Am. Journal of Roentgenology, Vol. 152,
pp. 1161-1168, June 1989.
- "Quantification and Visualization of 3D Cardiac Imagery,"
N. F.
Ezquerra, E. V. Garcia, J. W. Peifer, C. D. Cooke, J. L. Klein, and J. P.
Skelton. World Congress on Medical Physics and Biomedical Engineering, San
Antonio, Texas, p. 100, August 1988.
- "3D Visualization of Coronary Arterial Tree Superimposed on Myocardial
Distribution,"
J. W. Peifer, C. D. Cooke, J. P. Skelton, J. L.
Klein, N. F. Ezquerra, M. Weingarten, W. S. Briggs, and E. V. Garcia.
Journal of Nuc. Med., Vol. 29, No. 5, p. 810, May 1988.
- "A Method for 3D Display of Arterial Structure Superimposed on
Myocardial Perfusion Distribution,"
N. F. Ezquerra, M. Zerbi, D.
Cooke, J. W. Peifer, M. S. West, G. J. Bradley, L. Jofre, J. L. Klein, H.
L. Hise, and E. V. Garcia. J. Nuc. Med., Vol. 28, No.4, p.675-676,
June 1986.
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