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Proceedings Paper

3DVIEWNIX: a data-, machine-, and application-independent software system for multidimensional data visualization and analysis
Author(s): Jayaram K. Udupa; Hsiu-Mei Hung; Dewey Odhner; Roberto J. Goncalves
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Paper Abstract

A data-, machine-, and application-independent software system called 3DVIEWNIX has been developed and is maintained on an ongoing basis by the Medical Image Processing Group. It is aimed at serving the needs of biomedical visualization researchers as well as end users. Unlike existing visualization packages, 3DVIEWNIX is not designed around a fixed methodology or set of methods providing a fixed set of tools. It incorporates the basic imaging transforms common to most visualization and analysis methods and provides a facility to combine them in meaningful ways. The result is a powerful exploratory environment that not only provides the commonly used standard tools but also an immense variety of others. In addition to visualization, it incorporates a variety of unique tools for multidimensional image analysis. Its design is mostly image data dimensionality independent to make it just as convenient to analyze 2-D and 3-D data as it is to analyze 4-D and higher-dimensional data. It is based on UNIX, C, X Window and our own multidimensional generalization of the 2-D ACR-NEMA standards for image data representation.

Paper Details

Date Published: 1 May 1992
PDF: 7 pages
Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); doi: 10.1117/12.59498
Show Author Affiliations
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Hsiu-Mei Hung, Univ. of Pennsylvania (United States)
Dewey Odhner, Univ. of Pennsylvania (United States)
Roberto J. Goncalves, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 1653:
Medical Imaging VI: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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