Abstract: |
The grid carries the promise of seamless access to vast amounts of various resources (e.g. computational,
data, special instruments, human, etc.) in a reliable and secure manner and at low costs, at any time and from
anywhere. In this context, an increasing body of research focuses on enabling complex healthcare applications
to make efcient use of grid technologies and remote resources in clusters and grids, while satisfying the high
requirements in the healthcare domain with respect to performance, reliability, cost-effectiveness, privacy and
security. Our research aims at developing an architecture that enables computationally intensive healthcare
applications to transparently use powerful remote resources for signicant performance improvement, while
being used in actual clinical environments. In this paper we apply our grid-enabled architecture to High Angular
Fiber Tracking (HAFT), an imaging application with very high computational requirements. We parallelize
the HAFT application and evaluate its performance in terms of response time and scalability. Finally, we deploy
the application at the Amsterdam Medical Centre, in The Netherlands, and validate it (and the underlying
architecture) together with clinical users and on real patient data. |