Paper
11 March 2010 Managing and querying image annotation and markup in XML
Fusheng Wang, Tony Pan, Ashish Sharma, Joel Saltz
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fusheng Wang, Tony Pan, Ashish Sharma, and Joel Saltz "Managing and querying image annotation and markup in XML", Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 762805 (11 March 2010); https://doi.org/10.1117/12.843606
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Databases

Data modeling

Standards development

Medical imaging

Data storage

Image segmentation

Associative arrays

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