@neurIST: infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services

Authors:
Siegfried Benkner;Antonio Arbona;Guntram Berti;Alessandro Chiarini;Robert Dunlop;Gerhard Engelbrecht;Alejandro F. Frangi;Christoph M. Friedrich;Susanne Hanser;Peer Hasselmeyer;Rod D. Hose;Jimison Iavindrasana;Martin Köhler;Luigi Lo Iacono;Guy Lonsdale;Rodolphe Meyer;Bob Moore;Hariharan Rajasekaran;Paul E. Summers;Alexander Wöhrer;Steven Wood
Affiliations:
Department of Scientific Computing, University of Vienna, Vienna, Austria;GridSystems S.A., Spain;NEC Laboratories Europe, IT Research Division, NEC Europe Ltd., St. Augustin, Germany;B3C BioComputing Competence Centre, Bologna, Italy;Infermed Ltd., London, U.K.;Department of Scientific Computing, University of Vienna, Vienna, Austria;Inf. and Comm. Techn. Dept., Center for Computational Imaging and Simulation Techn. in Biomed., Univ. Pompeu Fabra, and Networking Center for Biomedical Res. in Bioeng., Biomaterials and Nanomed., ...;Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, St. Augustin, Germany;Department of Medical Informatics, University Freiburg, Freiburg, Germany;NEC Laboratories Europe, IT Research Division, NEC Europe Ltd., St. Augustin, Germany;Department of Medical Physics and Clinical Engineering, University of Sheffield, Sheffield, U.K.;Geneva University Hospitals, Geneva, Switzerland;Department of Scientific Computing, University of Vienna, Vienna, Austria;NEC Laboratories Europe, IT Research Division, NEC Europe Ltd., St. Augustin, Germany;NEC Laboratories Europe, IT Research Division, NEC Europe Ltd., St. Augustin, Germany;Geneva University Hospitals, Geneva, Switzerland;IDAC Ireland Limited, Dublin 2, Ireland;NEC Laboratories Europe, IT Research Division, NEC Europe Ltd., St. Augustin, Germany;Nuffield Department of Surgery, University of Oxford, Oxford, U.K.;Department of Scientific Computing, University of Vienna, Vienna, Austria;Department of Medical Physics and Clinical Engineering, University of Sheffield, Sheffield, U.K.
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2010

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Abstract

The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system's architecture is generic enough that it could be adapted to the treatment of other diseases. Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers clinicians the tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medical researchers gain access to a critical mass of aneurysm related data due to the system's ability to federate distributed information sources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access and work on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand for performing computationally intensive simulations for treatment planning and research.