Sharing medical imaging over the cloud services

Over the past decades, healthcare institutions adopted Picture Archive and Communication Systems in their workflows. The exchange and interaction between different equipment is performed with Digital Imaging Communication in Medicine (DICOM), which is a very extensive protocol covering many areas of the imaging laboratories. However, the communication of a wide domain composed by several medical institutions is not well supported. In the last few years, Cloud computing has been used to allow communication anytime and anywhere. This new paradigm creates new opportunities to share information that can be always available. The proposed implementation is supported on the public cloud resources that are available on the Internet, creating the opportunity to exchange information between the medical devices inside the institutions with another devices located in another institution. Despite of the advantages of the cloud computing, it also brings new challenges regarding the data privacy when the medical data are transmitted over different domains. This paper presents a solution to share DICOM services across healthcare institutions without breaking DICOM based on cloud. A solution to tackle these issues was proposed, creating a ciphered channel between the entities that are sharing DICOM services. In this paper we explored the application of cloud computing to share medical imaging data across different institutions providing privacy and confidentiality to the involved entities.

[1]  Chao-Tung Yang,et al.  Implementation of a medical image file accessing system in co-allocation data grids , 2010, Future Gener. Comput. Syst..

[2]  José Luís Oliveira,et al.  Email-P2P Gateway to Distributed Medical Imaging Repositories , 2010, HEALTHINF.

[3]  Chao-Tung Yang,et al.  Implementation of a Medical Image File Accessing System on Cloud Computing , 2010, 2010 13th IEEE International Conference on Computational Science and Engineering.

[4]  Tobey Clark PACS and Imaging Informatics: Basic Principles and Applications , 2006 .

[5]  Eunmi Choi,et al.  A Conceptual Approach for Taxonomical Spectrum of Cloud Computing , 2009, Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications.

[6]  Brent J Liu,et al.  Utilizing data grid architecture for the backup and recovery of clinical image data. , 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[7]  門間 仁 Windows Azure Platformを活用したPaaSサービス--FGCP/A5 (特集 クラウド・コンピューティング) , 2011 .

[8]  David A. Maltz,et al.  Cloudward bound: planning for beneficial migration of enterprise applications to the cloud , 2010, SIGCOMM 2010.

[9]  A. Schröter,et al.  # Springer-Verlag 2006 , 2005 .

[10]  José Luís Oliveira,et al.  A proxy of DICOM services , 2010, Medical Imaging.

[11]  Arnon Rosenthal,et al.  Methodological Review: Cloud computing: A new business paradigm for biomedical information sharing , 2010 .

[12]  Daniel S. Marcus,et al.  The extensible neuroimaging archive toolkit , 2007, Neuroinformatics.

[13]  D. Peck Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide , 2009, Journal of Nuclear Medicine.

[14]  José Luís Oliveira,et al.  Dicoogle - an Open Source Peer-to-Peer PACS , 2011, Journal of Digital Imaging.

[15]  Chris Rose,et al.  A Break in the Clouds: Towards a Cloud Definition , 2011 .

[16]  Tony Pan,et al.  VirtualPACS—A Federating Gateway to Access Remote Image Data Resources over the Grid , 2009, Journal of Digital Imaging.

[17]  Marta Mattoso,et al.  Towards a Taxonomy for Cloud Computing from an e-Science Perspective , 2010, Cloud Computing.