Abstract
This paper presents a novel cluster system, named MI-Cluster, for the purpose of developing a testbed for the cluster-assisted surgery. Our system provides a framework for utilizing high performance computing resources from the remote operating room. One current application is an accurate simulator for the range of motion (ROM) adjustment in total hip replacement (THR) surgery. To perform high-quality imaging during surgery, we have parallelized this compute-intensive ROM simulator on a cluster of PCs with 128 processors. Acceleration techniques such as dynamic load-balancing and data compression have been incorporated into our system. The system also provides a remote access service with a secure execution environment. We applied the system to an actual THR surgery performed at Osaka University Hospital and confirmed that the MI-Cluster system realizes intraoperative ROM simulation without degrading the accuracy of the simulation.
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Kawasaki, Y. et al. (2003). A High Performance Computing System for Medical Imaging in the Remote Operating Room. In: Pinkston, T.M., Prasanna, V.K. (eds) High Performance Computing - HiPC 2003. HiPC 2003. Lecture Notes in Computer Science, vol 2913. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24596-4_18
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DOI: https://doi.org/10.1007/978-3-540-24596-4_18
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