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Cloud computing in medical imaging
1. P. Mell and T. Grence, “The NIST definition of cloud computing,” Special Publication 800–145 (2011).
2. I. Foster, Y. Zhao, I. Raicu, and S. Lu, “Cloud computing and grid computing 360-degree compared,” in Grid Computing Environments Workshop, GCE ‘08 (IEEE, Austin, TX, 2008), pp. 1–10.
3. L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, “A break in the clouds: Towards a cloud definition,” ACM SIGCOMM Comput. Commun. Rev. 39, 50–55 (2009).
7. Q. Ling, Z. Luo, Y. Du, and L. Guo, “Cloud computing: An overview,” in Cloud Computing (Springer, Berlin-Heidelberg, 2009), pp. 626–631.
10. G. C. Kagadis, C. Alexakos, S. G. Langer, and T. French, “Using an open-source PACS virtual machine for a digital angiography unit: Methods and initial impressions,” J. Digit. Imaging 25, 81–90 (2012).
22. Informatics in Medical Imaging, edited by G. C. Kagadis and S. G. Langer, 1st ed. (CRC Press, Boca Raton, Fl, 2012).
24. D. Wallach, F. Lamare, G. Kontaxakis, and D. Visvikis, “Super-resolution in respiratory synchronized positron emission tomography,” IEEE. Trans. Med. Imaging 31, 438–448 (2012).
25. J. Yan, B. Planeta-Wilson, and R. E. Carson, “Direct 4-D PET list mode parametric reconstruction with a novel EM algorithm,” IEEE. Trans. Med. Imaging 31, 2213–2223 (2012).
26. T. Shepherd et al., “Comparative study with new accuracy metrics for target volume contouring in PET image guided radiation therapy,” IEEE. Trans. Med. Imaging 31, 2006–2024 (2012).
27. A. Le Maitre et al., “Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications,” Proc. IEEE 97, 2026–2038 (2009).
28. P. Papadimitroulas, et al., “Realistic pathological simulations of the NCAT and Zubal anthropomorphic models, based on clinical PET/CT data,” paper presented at the 54th annual meeting of the American Association of Physicists in Medicine, Charlotte, NC, 29 July–2 August, 2012;
29. P. Papadimitroulas, G. Loudos, G. C. Nikiforidis, and G. C. Kagadis, “A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: Comparison with other Monte Carlo codes,” Med. Phys. 39, 5238–5247 (2012).
30. D. Visvikis, M. Hatt, F. Tixier, and C. Cheze Le Rest, “The age of reason for FDG PET image-derived indices,” Eur. J. Nucl. Med. Mol. Imaging 39, 1670–1672 (2012).
31. C. Toland, C. Meenan, M. Toland, N. Safdar, P. Vandermeer, and P. Nagy, “A suggested classification guide for PACS client applications: The five degrees of thickness,” J. Digit. Imaging 19(1), 78–83 (2006).
38. C. Vecchiola, S. Pandey, and R. Buyya, “High-Performance Cloud Computing: A View of Scientific Applications,” in 10th International Symposium on Pervasive Systems, Algorithms, and Networks (ISPAN), (IEEE, Kaohsiung, 2009), pp. 4–16.
40. K. Jorissen, W. Johnson, F. D. Vila, and J. J. Rehr, “High-performance computing without commitment: SC2IT: A cloud computing interface that makes computational science available to non-specialists,” in 8th International Conference on E-Science (e-Science) (IEEE, Chicago, IL, 2012).
43. R. Chow et al., “Controlling data in the cloud: Outsourcing computation without outsourcing control,” in ACM Workshop on Cloud Computing Security (CCSW ‘09) (ACM, 2009), pp. 85–90.
44. D. J. Abadi, “Data management in the cloud: Limitations and opportunities,” IEEE. Data Eng. Bull. 32, 3–12 (2009).
45. EU, “European Union Directive on data protection,” in Official Journal of the European Communities (EU, Brussels, Belgium, 1995), Vol. L.281, pp. 31–50.
51. F. Prior, M. L. Ingeholm, B. A. Levine, and L. Tarbox, “Potential impact of HITECH security regulations on medical imaging,” in 31st Annual International Conference of the IEEE EMBS, Minneapolis, MN, 2009, (IEEE, 2009), pp. 2157–2160.
52. M. Zhou, R. Zhang, W. Xie, W. Qian, and A. Zhou, “Security and privacy in cloud computing: A survey,” in 6th International Conference on Semantics Knowledge and Grid (SKG) (IEEE, Beijing, China, 2010), pp. 105–112.
53. R. Zhang and L. Liu, “Security models and requirements for healthcare application clouds,” in IEEE 3rd International Conference on Cloud Computing (CLOUD) (IEEE, 2010), pp. 268–275.
59. B. R. Kandukuri, V. R. Paturi, and A. Rakshit, “Cloud security issues,” in International Conference on Services Computing – SCC ‘09 (IEEE, Bangalore, India, 2009), pp. 517–520.
62. C. Curino et al.
, “Relational cloud: A database-as-a-service for the cloud
,” paper presented at the 5th Biennial Conference on Innovative Data Systems Research, Pacific Grove, CA
, pp. 235
63. R. A. Popa, M. S. Redfield, N. Zeldovich, and H. Balakrishnan, “CryptDB: Protecting confidentiality with encrypted query processing,” paper presented at the SOSP ‘11 Proceedings of the twenty-third ACM Symposium on operating systems principles, Cascais, Portugal (ACM, New York, NY, 2011), pp. 85–100.
64. D. Kovachev, D. Renzel, R. Klamma, and Y. Cao, “Mobile community cloud computing: Emerges and evolves,” in 11th International Conference on Mobile Data Management (MDM), 2010 (Aachen, Germany, 2010), pp. 393–395.
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Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable resources such as virtual systems, platforms, and applications with low service cost has caught the attention of many researchers and clinicians. Healthcare researchers are moving their efforts to the cloud, because they need adequate resources to process, store, exchange, and use large quantities of medical data. This Vision 20/20 paper addresses major questions related to the applicability of advanced cloud computing in medical imaging. The paper also considers security and ethical issues that accompany cloud computing.
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