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Authors: Daniela Giordano 1 ; Carmelo Pino 2 ; Concetto Spampinato 1 ; Marco Fargetta 3 and Angela Di Stefano 4

Affiliations: 1 University of Catania, Italy ; 2 Department of Informatics and Telecommunication Engineering and University of Catania, Italy ; 3 Italian Institute for Nuclear Physics (INFN), Italy ; 4 Italian Research Council (CNR), Italy

ISBN: 978-989-8425-34-8

ISSN: 2184-4305

Keyword(s): Medical data sharing, Logical file catalogue (LFC), Metadata service (AMGA), SPECT, PET, Web 2.0.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; e-Health ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Platforms and Applications ; Semantic Interoperability ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: Large amounts of images (SPECT, PET, scintigraphy) in the nuclear medicine field have been routinely produced in the last decades. In this paper we propose an image management system that allows nuclear medicine physicians to share the acquired images and the associated metadata both locally (i.e. within the same medical institute) and globally with other nuclear medicine physicians located anywhere in the world by using GRID services for data (LFC) and metadata (AMGA) storage. The proposed system guarantees medical data protection by anonymization that removes most sensitive data for unauthorized users, and encryption, that guarantees data protection when it is stored at remote sites. Another important issue is that often nuclear medicine data is associated with other medical data (e.g. neurological data) for diagnosis and therapy follow-up. In order to correlate images with other clinical information, the common metadata are enriched by developing a controlled vocabulary, which inte grates known standards such as FOAF, CCR and GeneOntology. All the metadata are stored in an RDF (Resource Description Framework) repository in order to make the system fully compatible with existing metadata storage systems following the semantic web’s philosophy. (More)

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Paper citation in several formats:
Giordano, D.; Pino, C.; Spampinato, C.; Fargetta, M. and Di Stefano, A. (2011). NUCLEAR MEDICINE IMAGE MANAGEMENT SYSTEM FOR STORAGE AND SHARING BY USING GRID SERVICES AND SEMANTIC WEB.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, ISSN 2184-4305, pages 80-86. DOI: 10.5220/0003170500800086

@conference{healthinf11,
author={Daniela Giordano. and Carmelo Pino. and Concetto Spampinato. and Marco Fargetta. and Angela Di Stefano.},
title={NUCLEAR MEDICINE IMAGE MANAGEMENT SYSTEM FOR STORAGE AND SHARING BY USING GRID SERVICES AND SEMANTIC WEB},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={80-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003170500800086},
isbn={978-989-8425-34-8},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - NUCLEAR MEDICINE IMAGE MANAGEMENT SYSTEM FOR STORAGE AND SHARING BY USING GRID SERVICES AND SEMANTIC WEB
SN - 978-989-8425-34-8
AU - Giordano, D.
AU - Pino, C.
AU - Spampinato, C.
AU - Fargetta, M.
AU - Di Stefano, A.
PY - 2011
SP - 80
EP - 86
DO - 10.5220/0003170500800086

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