Introduction to volume visualization and its biomedical applications

Arie E. Kaufman; Karl Heinz Hoehne; William E. Lorensen; Roni Yagel

doi:10.1117/12.131122

22 September 1992 Introduction to volume visualization and its biomedical applications

Arie E. Kaufman, Karl Heinz Hoehne, William E. Lorensen, Roni Yagel

Author Affiliations +

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131122
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

Abstract

Volume visualization is emerging in the nineties as a key field of visualization, graphics, and imaging. The use of volume visualization in practical applications in medicine and biology is becoming a common reality. Volume visualization encompasses an array of techniques, a technology, and a nomenclature, and holds substantial challenges. The techniques provide mechanisms that make possible display and exploration of the inner or unseen structures of volumetric data and allow visual insight into opaque or complex datasets. Volume visualization, as a technology, brings a revolution to computer graphics and promises important breakthroughs in numerous biomedical applications. Volume visualization is concerned with the tasks of representing, manipulating, and rendering volumetric data. This course provides an overview of the technology, the nomenclature, and the techniques for these tasks, emphasizing algorithms and applications. The course covers and compares different approaches in volume representation, volume synthesis, volume and surface viewing, volume shading, and biomedical applications of volume visualization. This is a beginning/intermediate level tutorial designed for biomedical scientists and engineers, and for medical researchers and practitioners who are new to the field of volume visualization or interested in expanding their knowledge in that field.

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Arie E. Kaufman, Karl Heinz Hoehne, William E. Lorensen, and Roni Yagel "Introduction to volume visualization and its biomedical applications", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131122

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