| Issue |
EPJ Web Conf.
Volume 177, 2018
The XXI International Scientific Conference of Young Scientists and Specialists (AYSS-2017)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 5 | |
| Section | Information Technology | |
| DOI | https://doi.org/10.1051/epjconf/201817705004 | |
| Published online | 18 April 2018 | |
https://doi.org/10.1051/epjconf/201817705004
Architecture of distributed picture archiving and communication systems for storing and processing high resolution medical images
Laboratory of Nuclear Problems, Joint Institute for Nuclear Research, 6 Joliot-Curie, Dubna, Moscow region, 141980, Russia
* e-mail: tokareva@jinr.ru
Published online: 18 April 2018
New generation medicine demands a better quality of analysis increasing the amount of data collected during checkups, and simultaneously decreasing the invasiveness of a procedure. Thus it becomes urgent not only to develop advanced modern hardware, but also to implement special software infrastructure for using it in everyday clinical practice, so-called Picture Archiving and Communication Systems (PACS). Developing distributed PACS is a challenging task for nowadays medical informatics. The paper discusses the architecture of distributed PACS server for processing large high-quality medical images, with respect to technical specifications of modern medical imaging hardware, as well as international standards in medical imaging software. The MapReduce paradigm is proposed for image reconstruction by server, and the details of utilizing the Hadoop framework for this task are being discussed in order to provide the design of distributed PACS as ergonomic and adapted to the needs of end users as possible.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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