DICOMGrid: a middleware to integrate PACS and EELA-2 grid infrastructure

Ramon A. Moreno; Marina de Sá Rebelo; Marco A. Gutierrez

doi:10.1117/12.844335

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11 March 2010 DICOMGrid: a middleware to integrate PACS and EELA-2 grid infrastructure

Ramon A. Moreno, Marina de Sá Rebelo, Marco A. Gutierrez

Proceedings Volume 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 76280X (2010) https://doi.org/10.1117/12.844335
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Medical images provide lots of information for physicians, but the huge amount of data produced by medical image equipments in a modern Health Institution is not completely explored in its full potential yet. Nowadays medical images are used in hospitals mostly as part of routine activities while its intrinsic value for research is underestimated. Medical images can be used for the development of new visualization techniques, new algorithms for patient care and new image processing techniques. These research areas usually require the use of huge volumes of data to obtain significant results, along with enormous computing capabilities. Such qualities are characteristics of grid computing systems such as EELA-2 infrastructure. The grid technologies allow the sharing of data in large scale in a safe and integrated environment and offer high computing capabilities. In this paper we describe the DicomGrid to store and retrieve medical images, properly anonymized, that can be used by researchers to test new processing techniques, using the computational power offered by grid technology. A prototype of the DicomGrid is under evaluation and permits the submission of jobs into the EELA-2 grid infrastructure while offering a simple interface that requires minimal understanding of the grid operation.

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Ramon A. Moreno, Marina de Sá Rebelo, and Marco A. Gutierrez "DICOMGrid: a middleware to integrate PACS and EELA-2 grid infrastructure", Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280X (11 March 2010); https://doi.org/10.1117/12.844335

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