Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/305216
Title: neurIST: Infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services
Authors: Benkner, Siegfried;Arbona, Antonio;Berti, Guntram;Chiarini, Alessandro;Dunlop, Robert;Engelbrecht, Gerhard;Frangi, Alejandro F.;Friedrich, Christoph M.;Hanser, Susanne;Hasselmeyer, Peer;Hose, Rod D.;Iavindrasana, Jimison;Khler, Martin;Iacono, Luigi Lo;Lonsdale, Guy;Meyer, Rodolphe;Moore, Bob;Rajasekaran, Hariharan;Summers, Paul E.;Whrer, Alexander;Wood, Steven
subject: Aneurysms;architecture;biomechanical simulation;biomedical grid;ontology;10.1109/TITB.2010.2049268
Year: 2010
Publisher: Ieee
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.
Description: 
URI: http://localhost/handle/Hannan/305216
ISSN: 1558-0032 (Electronic)\r1089-7771 (Linking)
More Information: VOLUME : 14 ISSUE : 6 START PAGE : 1365 END PAGES : 1377
Appears in Collections:2010

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Title: neurIST: Infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services
Authors: Benkner, Siegfried;Arbona, Antonio;Berti, Guntram;Chiarini, Alessandro;Dunlop, Robert;Engelbrecht, Gerhard;Frangi, Alejandro F.;Friedrich, Christoph M.;Hanser, Susanne;Hasselmeyer, Peer;Hose, Rod D.;Iavindrasana, Jimison;Khler, Martin;Iacono, Luigi Lo;Lonsdale, Guy;Meyer, Rodolphe;Moore, Bob;Rajasekaran, Hariharan;Summers, Paul E.;Whrer, Alexander;Wood, Steven
subject: Aneurysms;architecture;biomechanical simulation;biomedical grid;ontology;10.1109/TITB.2010.2049268
Year: 2010
Publisher: Ieee
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.
Description: 
URI: http://localhost/handle/Hannan/305216
ISSN: 1558-0032 (Electronic)\r1089-7771 (Linking)
More Information: VOLUME : 14 ISSUE : 6 START PAGE : 1365 END PAGES : 1377
Appears in Collections:2010

Files in This Item:
File Description SizeFormat 
AL1728451.pdf720.04 kBAdobe PDFThumbnail
Preview File
Title: neurIST: Infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services
Authors: Benkner, Siegfried;Arbona, Antonio;Berti, Guntram;Chiarini, Alessandro;Dunlop, Robert;Engelbrecht, Gerhard;Frangi, Alejandro F.;Friedrich, Christoph M.;Hanser, Susanne;Hasselmeyer, Peer;Hose, Rod D.;Iavindrasana, Jimison;Khler, Martin;Iacono, Luigi Lo;Lonsdale, Guy;Meyer, Rodolphe;Moore, Bob;Rajasekaran, Hariharan;Summers, Paul E.;Whrer, Alexander;Wood, Steven
subject: Aneurysms;architecture;biomechanical simulation;biomedical grid;ontology;10.1109/TITB.2010.2049268
Year: 2010
Publisher: Ieee
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.
Description: 
URI: http://localhost/handle/Hannan/305216
ISSN: 1558-0032 (Electronic)\r1089-7771 (Linking)
More Information: VOLUME : 14 ISSUE : 6 START PAGE : 1365 END PAGES : 1377
Appears in Collections:2010

Files in This Item:
File Description SizeFormat 
AL1728451.pdf720.04 kBAdobe PDFThumbnail
Preview File