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A Dependable Massive Storage Service for Medical Imaging

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Abstract

We present the construction of Babel, a distributed storage system that meets stringent requirements on dependability, availability, and scalability. Together with Babel, we developed an application that uses our system to store medical images. Accordingly, we show the feasibility of our proposal to provide an alternative solution for massive scientific storage and describe the software architecture style that manages the DICOM images life cycle, utilizing Babel like a virtual local storage component for a picture archiving and communication system (PACS-Babel Interface). Furthermore, we describe the communication interface in the Unified Modeling Language (UML) and show how it can be extended to manage the hard work associated with data migration processes on PACS in case of updates or disaster recovery.

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Acknowledgments

The authors would like to thank the INR (Instituto Nacional de Rehabilitación, México) and INFOTEC (Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación) for their support and assistance with this project.

All the authors have contributed directly in the writing of this paper.

During the PACSINRBABEL project, all of the authors participated in the technical work in architecture and/or implementation, Marcelín-Jiménez was the project coordinator, while Núñez Gaona was the technical manager for the PACSINRBABEL project.

We wish to thank to the anonymous referees that have helped us to improve the quality of this document, with their valuable comments.

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Correspondence to Marco Antonio Núñez-Gaona.

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Núñez-Gaona, M.A., Marcelín-Jiménez, R., Gutiérrez-Martínez, J. et al. A Dependable Massive Storage Service for Medical Imaging. J Digit Imaging 31, 628–639 (2018). https://doi.org/10.1007/s10278-018-0091-x

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