Providing with High Performance 3D Medical Image Processing on a Distributed Environment
نویسنده
چکیده
High Performance Computing has demonstrated extensively its potential benefit for reaching an efficient processing of 3D medical images. However, there are few commercial image-processing solutions that benefit from High Performance Computing. Although bi-processor systems are currently affordable, configurations with more processors are still very expensive. Cluster systems are bulky and cannot be deployed to any working station. We present in this paper a Distributed Computing software architecture that enables the use of High Performance components remotely on a hospital network. The system provides with Parallel Computing for 3D image processing from any standard computer connected to the network.
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