Paper
1 July 1992 Multidimensional data format specification : a generalization of the ACR-NEMA standards
Jayaram K. Udupa, Hsiu-Mei Hung, Dewey Odhner, Roberto J. Goncalves
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jayaram K. Udupa, Hsiu-Mei Hung, Dewey Odhner, and Roberto J. Goncalves "Multidimensional data format specification : a generalization of the ACR-NEMA standards", Proc. SPIE 1654, Medical Imaging VI: PACS Design and Evaluation, (1 July 1992); https://doi.org/10.1117/12.60278
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KEYWORDS
Visual analytics

Visualization

3D image processing

Biomedical optics

Image analysis

Image visualization

Software development

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