Abstract
The distribution of high-resolution medical images to smart devices, in a health organization premises, is considered in this work. The aim is to reduce network traffic and computation load (of the smart devices). Security issues are also considered. The approach takes full advantage of the parallel processing on medical images performed on the server side, exploiting GPGPUs processing power. Data are pre-calculated and modified to best fit the targeted smart device’s display. The evaluation results show minimization on processing requirements at the smart device, while network traffic is reduced significantly when few actions are performed on the image.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Kakarountas, A., Mavridis, I. (2012). Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations’ Intranet for Distributing Medical Images to Smart Devices. In: Nikita, K.S., Lin, J.C., Fotiadis, D.I., Arredondo Waldmeyer, MT. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29734-2_54
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DOI: https://doi.org/10.1007/978-3-642-29734-2_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29733-5
Online ISBN: 978-3-642-29734-2
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