A Cloud Architecture for the Execution of Medical Imaging Biomarkers

Abstract

Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image processing requires intensive computing resources not available at hospitals, but which could be provided by public clouds. The article analyses the requirements of processing digital medical images and introduces a cloud-based architecture centred on a DevOps approach to deploying resources on demand, adjusting them based on the request of resources and the expected execution time to deal with an unplanned workload. Results presented show a low overhead and high flexibility executing a lung disease biomarker on a public cloud.The work in this article has been co-funded by project SME Instrument Phase II - 778064, QUIBIM Precision, funded by the European Commission under the INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT), Horizon 2020, project ATMOSPHERE, funded jointly by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 777154 and the Brazilian Ministerio de Ciencia, Tecnologia e Inovacao (MCTI), number 51119. The authors would like also to thank the Spanish Ministerio de Economia, Industria y Competitividad¿ for the project BigCLOE with reference number TIN2016-79951-R.López-Huguet, S.; García-Castro, F.; Alberich-Bayarri, A.; Blanquer Espert, I. (2019). A Cloud Architecture for the Execution of Medical Imaging Biomarkers. 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