Grid Databases for Shared Image Analysis in the MammoGrid Project

  • Authors:
  • S. R. Amendolia;F. Estrella;T. Hauer;D. Manset;R. McClatchey;M. Odeh;T. Reading;D. Rogulin;D. Schottlander;T. Solomonides

  • Affiliations:
  • CERN;CERN and University of West of England;University of West of England;CERN and University of West of England;University of West of England;University of West of England;Mirada Solutions Limited;CERN and University of West of England;Mirada Solutions Limited;CERN

  • Venue:
  • IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

The MammoGrid project aims to prove that Grid infrastructures can be used for collaborative clinical analysis of database-resident but geographically distributed medical images. This requires: a) the provision of a clinician-facing front-end workstation and b) the ability to service real-world clinician queries across a distributed and federated database. The MammoGrid project will prove the viability of the Grid by harnessing its power to enable radiologists from geographically dispersed hospitals to share standardized mammograms, to compare diagnoses (with and without computer aided detection of tumours) and to perform sophisticated epidemiological studies across national boundaries. This paper outlines the approach taken in MammoGrid to seamlessly connect radiologist workstations across a Grid using an "information infrastructure" and a DICOM-compliant object model residing in multiple distributed data stores in Italy and the UK.