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Proceedings Paper

Managing and querying image annotation and markup in XML
Author(s): Fusheng Wang; Tony Pan; Ashish Sharma; Joel Saltz
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Paper Abstract

Proprietary approaches for representing annotations and image markup are serious barriers for researchers to share image data and knowledge. The Annotation and Image Markup (AIM) project is developing a standard based information model for image annotation and markup in health care and clinical trial environments. The complex hierarchical structures of AIM data model pose new challenges for managing such data in terms of performance and support of complex queries. In this paper, we present our work on managing AIM data through a native XML approach, and supporting complex image and annotation queries through native extension of XQuery language. Through integration with xService, AIM databases can now be conveniently shared through caGrid.

Paper Details

Date Published: 11 March 2010
PDF: 11 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 762805 (11 March 2010); doi: 10.1117/12.843606
Show Author Affiliations
Fusheng Wang, Emory Univ. (United States)
Tony Pan, Emory Univ. (United States)
Ashish Sharma, Emory Univ. (United States)
Joel Saltz, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)

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