A grid computing framework for high-performance medical imaging

Gabriel Mañana Guichón; Eduardo Romero Castro

doi:10.1117/12.2035344

19 November 2013 A grid computing framework for high-performance medical imaging

Gabriel Mañana Guichón, Eduardo Romero Castro

Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220W (2013) https://doi.org/10.1117/12.2035344
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico

Abstract

Current medical image processing has become a complex mixture of many scienti c disciplines including mathematics, statistics, physics, and algorithmics, to perform tasks such as registration, segmentation, and visualization, with the ultimate purpose of helping clinicians in their daily routine. This requires high performance computing capabilities that can be achieved in several ways, usually una ordable for most medical institutions. This paper presents a space-based computational grid that uses the otherwise wasted CPU cycles of a set of personal computers, to provide high-performance medical imaging services over the Internet. By using an existing hardware infrastructure and software of free distribution, the proposed approach is apt for university hospitals and other low-budget institutions. This will be illustrated by the use of three real case studies of services where an important speedup factor has been obtained and whose performance has become suitable for use in real clinical scenarios.

Citation Download Citation

Gabriel Mañana Guichón and Eduardo Romero Castro "A grid computing framework for high-performance medical imaging", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220W (19 November 2013); https://doi.org/10.1117/12.2035344

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