Description:Data Grid infrastructure for Medical Image applications
Abstract:Medical images can provide lots of information for physicians, but are not completely explored yet. The availibility of large datasets of medical images and huge processing capabilities can allow the development of new visualization techniques, new algorithms for patient care (e.g. cancer detection, early Alzheimer diagnosis) and new processing techniques (such as image segmentation, pattern recognition and image fusion). Nowadays images are used in the hospitals only as part of routine procedures while its instrinsical value for research is ignored. This is due to the difficulties of storing huge amounts of data, the computational limitations to process large amounts of data and legal reasons.<BR/>The DicomGrid application proposes to create a distributed storage of medical images, properly anonymized, that can be used by researchers to test new types of processing techniques, using the computational power offered by grid technology. The idea is also to be able to rely on vast amounts of data that can offer a significant statistical distribution of a particular disease, so the results obtained are reliable.