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Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery


Andreas Fetzer, Jasmin Metzger, Darko Katic, Keno März, Martin Wagner, Patrick Philipp, Sandy Engelhardt, Tobias Weller, Sascha Zelzer, Alfred Michael Franz, Nicolai Schoch, Vincent Heuveline, Maria MaleshkovaAchim Rettinger, Stefanie Speidel, Ivo Wolf, Hannes Kenngott, Beat Müller, Lena Maier-Hein, Hans-Peter Meinzer, Marco Nolden



Published: 2016 März
Herausgeber: Jianguo Zhang,Tessa S. Cook
Buchtitel: Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations
Ausgabe: 9789
Verlag: SPIE Digital Library
Erscheinungsort: San Diego, California, United States
Referierte Veröffentlichung
BibTeX

Kurzfassung
In the surgical domain, individual clinical experience, which is derived in large part from past clinical cases, plays an important role in the treatment decision process. Simultaneously the surgeon has to keep track of a large amount of clinical data, emerging from a number of heterogeneous systems during all phases of surgical treatment. This is complemented with the constantly growing knowledge derived from clinical studies and literature. To recall this vast amount of information at the right moment poses a growing challenge that should be supported by adequate technology. While many tools and projects aim at sharing or integrating data from various sources or even provide knowledge-based decision support - to our knowledge - no concept has been proposed that addresses the entire surgical pathway by accessing the entire information in order to provide context-aware cognitive assistance. Therefore a semantic representation and central storage of data and knowledge is a fundamental requirement. We present a semantic data infrastructure for integrating heterogeneous surgical data sources based on a common knowledge representation. A combination of the Extensible Neuroimaging Archive Toolkit (XNAT) with semantic web technologies, standardized interfaces and a common application platform enables applications to access and semantically annotate data, perform semantic reasoning and eventually create individual context-aware surgical assistance. The infrastructure meets the requirements of a cognitive surgical assistant system and has been successfully applied in various use cases. The system is based completely on free technologies and is available to the community as an open-source package.

Download: Media:Sfb-infrastructure-spie2016.pdf
Weitere Informationen unter: Link
DOI Link: 10.1117/12.2217163

Projekt

SFB/Transregio 125



Forschungsgruppe

Web Science und Wissensmanagement


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