Three-dimensional (3D) imaging in biomedical computing: principles, algorithms, and systems

Jayaram K. Udupa

doi:10.1117/12.185239

9 September 1994 Three-dimensional imaging in biomedical computing: principles, algorithms, and systems

Jayaram K. Udupa

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185239
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

Abstract

Based on the nature of the processing tools required to fulfill biomedical imaging objectives, three components may be identified in a complete image analysis system: visualization, manipulation, and analysis. Visualization refers to processes which enable us to see and comprehend structure information captured in the image data in its true form and shape so as to help understand the underlying physical phenomenon. Manipulation refers to processes which allow us to interactively alter structure information with a view to understanding how the functionality of the physical phenomenon may be modified. Analysis refers to processes which generate quantitative descriptions of the structures with a view to quantify the functionality of the phenomenon being studied. The phrase 3D imaging may be used to collectively denote these processes. This tutorial covered systematically the fundamental principles underlying 3D imaging, namely multidimensional, multimodal image data visualization, manipulation, and analysis. The tutorial included on-line demonstrations of the imaging operations on a workstation.

Citation Download Citation

Jayaram K. Udupa "Three-dimensional imaging in biomedical computing: principles, algorithms, and systems", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185239

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