Journal Article10.1016/S0167-8191(99)00076-9
Visualization in biomedical computing
Richard A. Robb
- 01 Dec 1999
- Vol. 25, Iss: 13, pp 2067-2110
225
TL;DR: Current high-performance computers and advanced image processing capabilities have facilitated major progress toward realization of this goal, and there are several important applications possible to be delivered soon that will have a significant impact on the practice of medicine and on biological research.
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Abstract: Visualizable objects in biology and medicine extend across a vast range of scale, from individual molecules and cells, to the varieties of tissue and interstitial interfaces, to complete organs, organ systems and body parts, and include functional attributes of these systems, such as biophysical, biomechanical and physiological properties. Medical applications include accurate anatomy and function mapping, enhanced diagnosis, accurate treatment planning and rehearsal, and education/training. However, the greatest potential for revolutionary innovation in the practice of medicine lies in direct, fully immersive, real-time multisensory fusion of real and virtual information data streams into online, real-time visualizations available during an actual clinical procedure. Current high-performance computers and advanced image processing capabilities have facilitated major progress toward realization of this goal. With these advances in hand, there are several important applications possible to be delivered soon that will have a significant impact on the practice of medicine and on biological research.
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References
Marching cubes: A high resolution 3D surface construction algorithm
William E. Lorensen,Harvey E. Cline +1 more
- 01 Aug 1987
TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Marching cubes: a high resolution 3D surface construction algorithm
William E. Lorensen,Harvey E. Cline +1 more
- 01 Jul 1998
TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
Brian Cabral,Nancy Cam,Jim Foran +2 more
- 17 Oct 1994
TL;DR: In this paper, a volume rendering integral is decomposed and approximated using Riemann sums over a series of resampled images, which can be viewed as a form of texture mapping and frame buffer accumulation.
1K
Digital color imaging
Gaurav Sharma,H.J. Trussell +1 more
TL;DR: Fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology in order to establish the background and lay down terminology.
572
Measurement of Intraoperative Brain Surface Deformation Under a Craniotomy
Calvin R. Maurer,Derek L. G. Hill,Robert J. Maciunas,John A. Barwise,J. Michael Fitzpatrick,M.Y. Wang +5 more
- 11 Oct 1998
TL;DR: The results suggest that intraoperative brain deformation is an important source of error that needs to be considered when using surgical navigation systems.