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Managing and querying image annotation and markup in XML

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

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.

Original languageEnglish
Title of host publicationMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
DOIs
StatePublished - 2010
EventMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications - San Diego, CA, United States
Duration: Feb 17 2010Feb 18 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7628

Conference

ConferenceMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
Country/TerritoryUnited States
CitySan Diego, CA
Period02/17/1002/18/10

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