In this work we describe MedIGrid, an application that enables nuclear doctors to transparently use high performance computers and storage systems for the PET/SPECT (Positron Emission Tomography/Single Photon Emission Computed Tomography) image processing, management, visualization and analysis. MedIGrid is the result of the joint efforts of a group of researchers committed to the development of a distributed application to test and deploy new reconstruction methods in clinical environments. In the following we describe how the collaboration among different research groups has contributed to the integration of the application into a single framework. The results of our work will be discussed.

MedIGrid: A Medical Imaging Application for Computational Grids

Carracciuolo L;Guarracino MR;Oliva G
2003

Abstract

In this work we describe MedIGrid, an application that enables nuclear doctors to transparently use high performance computers and storage systems for the PET/SPECT (Positron Emission Tomography/Single Photon Emission Computed Tomography) image processing, management, visualization and analysis. MedIGrid is the result of the joint efforts of a group of researchers committed to the development of a distributed application to test and deploy new reconstruction methods in clinical environments. In the following we describe how the collaboration among different research groups has contributed to the integration of the application into a single framework. The results of our work will be discussed.
2003
Inglese
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
8
0-7695-1926-1
IEEE Computer Society
Los Alamitos [CA]
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
22-26 April 2003
Nice
9
none
Bertero, M; Bonetto, P; Carracciuolo, L; D'Amore, L; Formiconi, A; Guarracino, Mr; Laccetti, G; Murli, A; Oliva, G
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/82923
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