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A P 2 P Platform for Sharing Radiological Images and Diagnoses

The research in epidemiology of infrequent diseases require a lengthy and complex process of collecting a significative amount of studies and patient data for obtaining reasonable results. However this information is usually already available in different centres, but the inexistance of tools that could ease the process of sharing information slow down the collecting process and delays the research results. A peer-to-peer application that enables a community of radiologists to share DICOM studies, series or single images and their associated diagnoses is presented in this article. In this way radiologists can contrast its own studies with other similar ones so they can make use of the experience and the conclusions of other facultatives. The technical work have consisted in the development of a system over a P2P platform, allowing distributed image searches using keywords or image context similarity based on mutual information. The system is a collaborative environment that enables sharing images and diagnoses among radiologists. This system consolidates a distributed virtual image and diagnosis database, providing a helpful tool for radiologists’ work.