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Proceedings Paper

Multidimensional data format specification : a generalization of the ACR-NEMA standards
Author(s): Jayaram K. Udupa; Hsiu-Mei Hung; Dewey Odhner; Roberto J. Goncalves
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Paper Abstract

Multidimensional image data are becoming increasingly common in biomedical imaging. Three-dimensional visualization and analysis techniques based on three-dimensional image data have become an established discipline in biomedicine. Some imaging problems generate image data of even higher dimensions. It often become necessary, rather than just convenient, to consider the higher-dimensional data as a whole to adequately answer the underlying imaging questions. In spite of this established need for convenient exchange of image and image-derived information, no exchange protocols are available that adequately meet the needs of multidimensional imaging systems. This paper describes an exchange protocol that has been designed after careful consideration of the common requirements of methodologies for visualization and analysis of multidimensional data. It is based on and is a generalization of the widely accepted ACR-NEMA standards specified for two-dimensional images. It is implemented and actively being used in a data-, application-, and machine-independent software environment, being developed in the authors'' department, for the visualization and analysis of multidimensional images.

Paper Details

Date Published: 1 July 1992
PDF: 12 pages
Proc. SPIE 1654, Medical Imaging VI: PACS Design and Evaluation, (1 July 1992); doi: 10.1117/12.60278
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. 1654:
Medical Imaging VI: PACS Design and Evaluation
R. Gilbert Jost M.D., Editor(s)

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