Abstract
In last decades, imaging techniques became central to the diagnostic process providing the medical community with a fast growing amounts of information held in images. This implies developing computational tools which allow a reliable, robust and efficient processing of data and enhanced analysis. Moreover, clinicians may have the need to explore collaborative approaches and to exchange diagnostic information from available data. A medical experiment often involves not a single approach but a set of processings that should be sometimes executed concurrently.
This work has been partially supported by the 2004-2006 PRIN 200415818 Italian National Project and the 2000-2006 PON SCoPE Italian National Project.
Please use the following format when citing this chapter: Murli, A., Boccia. V., Carracciuolo, L., D’Amore, L., Laccetti, G., Lapegna. M., 2007, in IFIP International Federation for Information Processing, Volume 239, Grid-Based Problem Solving Environments, eds. Gaffney, P. W., Pool. J.C.T., (Boston: Springer), pp. 421–432.
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Murli, A., Boccia, V., Carracciuolo, L., D’Amore, L., Laccetti, G., Lapegna, M. (2007). Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE. In: Gaffney, P.W., Pool, J.C.T. (eds) Grid-Based Problem Solving Environments. IFIP The International Federation for Information Processing, vol 239. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73659-4_25
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