Data grid for large-scale medical image archive and analysis

Storage and retrieval technology for large-scale medical image systems has matured significantly during the past ten years but many implementations still lack cost-effective backup and recovery solutions. As an example, a PACS (Picture Archiving and Communication system) in a general medical center requires about 40 Terabytes of storage capacity for seven years. Despite many healthcare centers are relying on PACS for 24/7 clinical operation, current PACS lacks affordable fault-tolerance storage strategies for archive, backup, and disaster recovery. Existing solutions are difficult to administer, and often time consuming for effective recovery after a disaster. For this reason, PACS still encounters unexpected downtime for hours or days, which could cripple daily clinical service and research operations. Grid Computing represents the latest and most exciting technology to evolve from the familiar realm of parallel, peer-topeer, and client-server models that can address the problem of f...

• Type: Conference
• Year: 2005
• Where: MM
• Authors: H. K. Huang, Aifeng Zhang, Brent J. Liu, Zheng Zhou, Jorge Documet, Nelson E. King, L. W. C. Chan
• Keywords: Data Grid, Grid, Grid Computing, MM 2005