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Structuring Metainformation for Anatomy Images: XML as the Preferred Metainformation Interchange Language

Parvati Dev SUMMIT, Stanford University School of Medicine Palo Alto, CA, USA dev@summit.stanford.edu, http://summit.stanford.edu/people/parvati.html

Abstract
The Visible Human Project has made available a very large collection of images for use in medical teaching and research. Numerous sites around the world are in the process of developing additional value around subsets of these images, such as outlining and annotating structures and creating three-dimensional models. Accepted image formats, such as GIF and JPEG, facilitate the exchange of images. There is no similar accepted format for exchange of metainformation about images or about image content. We propose that the eXtensible Markup Language (XML) encourages the structured representation of metainformation and easy exchange of such information between developers of rich image collections.

Keywords: metainformation, semantic ontology, XML, labeling.

Table of Contents

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Image index
References

Acknowledgements
This work builds on software developed by Philip S. Constantinou and David Engberg at SUMMIT, which was supported in part by a DARPA TRP contract to Apple Computer, by DARPA CAETI contract N-66001-95-C-8618 and by the California Trade and Commerce Agency contract C940022.

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