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Development of a Cloud Database for Storage and Processing of Medical Images

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Biomedical Engineering Aims and scope

We present here the development of a cloud-based solution for storing and processing medical data obtained using TMR-KFTI MRI systems developed at the Kazan Physical-Technical Institute, FRC Kazan Scientific Center, Russian Academy of Sciences, and devices from other manufacturers. The concept of cloud technologies is considered, and their advantages over conventional data storage methods are identified. Types of cloud storage are investigated, and examples from world practice are presented; the grounds for a specific solution are established. The potentials for the development of cloud technologies in medicine are addressed.

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References

  1. Shirokova, E. A., “Cloud technologies,” in: Proc. Int. Scientific Conf. “Current Trends in the Technical Sciences,” Ufa, October 2011 [in Russian], Leto, Ufa (2011), pp. 30-33.

  2. http://www.forbes.com/sites/centurylink/2013/05/02/why-healthcare-must-embrace-cloud-computing/ (accessed January 15, 2020).

  3. http://www.cnews.ru/reviews/free/publichealth2011/articles/articles20.shtml (accessed January 15, 2020).

  4. Volkov, V. G., Kopyrin, I. Yu., and Khadartseva, K. A., “Cloud computation in medicine,” Vestn. Nov. Med. Tekhnol., No. 1, 5.-169 (2011).

  5. Fedorova, A. M. and Gudulova, E. A., “Current state and potentials for the development of cloud technologies in Russia,” Molodoi Uchenyi, No. 10, 37-41 (2017).

  6. Gribova, V. V. and Ostrovskii, G. E., “An intelligent cloud service for training diagnostic skills,” Biomed. Eng., 51, No. 6, 416-421 (2018).

    Article  Google Scholar 

  7. https://russian.rt.com/russia/article/395398-dannye-gosorganov-oblako-perenos (accessed January 15, 2020).

  8. http://www.kfti.knc.ru/ (accessed January 15, 2020).

  9. Salikhov, K. M., Fattakhov, Ya. V., Fakhrutdinov, A. R., Anashkin, V. N., Shagalov, V. A., Biktimirov, E. F., Murtazina, E. M., and Kolesnikova, N. V., “Technical characteristics and diagnostic capabilities of the low-field magnetic resonance tomographs TMR-0.06-KFTI,” Biomed. Eng., 41, No. 5, 250-252 (2007).

  10. http://dicome.ru/ (accessed January 15, 2020).

  11. https://electronxray.com/products/it-solutions/tsentralnyy-arkhiv-meditsinskikh-izobrazheni.php (accessed January 15, 2020).

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Authors and Affiliations

  1. E. K. Zavoisky Kazan Physical-Technical Institute, FRC Kazan Scientific Center, Russian Academy of Sciences, Kazan, Russia

    R. Sh. Khabipov

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  1. R. Sh. Khabipov
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Correspondence to R. Sh. Khabipov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 54, No. 2, Mar.-Apr., 2020, pp. 41-44.

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Khabipov, R.S. Development of a Cloud Database for Storage and Processing of Medical Images. Biomed Eng 54, 135–139 (2020). https://doi.org/10.1007/s10527-020-09990-6

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  • DOI: https://doi.org/10.1007/s10527-020-09990-6

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