Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations’ Intranet for Distributing Medical Images to Smart Devices

Athanasios Kakarountas; Ilias Mavridis

Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations’ Intranet for Distributing Medical Images to Smart Devices

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@INPROCEEDINGS{10.1007/978-3-642-29734-2_54,
    author={Athanasios Kakarountas and Ilias Mavridis},
    title={Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations’ Intranet for Distributing Medical Images to Smart Devices},
    proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
    proceedings_a={MOBIHEALTH},
    year={2012},
    month={10},
    keywords={Parallel computing medical data processing medical image safe access},
    doi={10.1007/978-3-642-29734-2_54}
}

Athanasios Kakarountas
Ilias Mavridis
Year: 2012
Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations’ Intranet for Distributing Medical Images to Smart Devices
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-29734-2_54

Athanasios Kakarountas¹^,*, Ilias Mavridis¹^,*

1: University of Central Greece

*Contact email: kakarountas@ieee.org, emavridis@ieee.org

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.

Keywords: Parallel computing medical data processing medical image safe access

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-29734-2_54