Application of cluster computing in medical image processing

Medical information technologies will strongly influence the medical routine of the future. As a consequence of a rapid development of image based methods and an increasing computational power new therapeutic and diagnostic methods are used today allowing higher standards in quality and efficiency of medicine. This paper provides an investigation on the application of cluster computing in the field of medical imaging that could efficiently increase the throughput. An indepth understanding of the architecture has been made so that even medical centers that do not have access to supercomputing facilities can obtain the best out of the existing hardware and software. Also that the most commonly used image processing algorithms in medical domain are discussed with the ways and means by which parallelism could be exploited.