Abstract
As computer vision has continued to make significant breakthroughs in recent years, medical image processing has become a research hotspot. However, hospitals that generate medical images have difficulty sharing this data due to differences in information systems and centralized storage structures. As a result, researchers often have access to only a small number of samples for research.
To solve medical image resource sharing, we propose MIFS, which stores, retrieves, authorizes, and shares medical images among hospitals. MIFS proposes a peer-to-peer data storage scheme based on consortium blockchain and an authentication mechanism compatible with the consortium blockchain. On this basis, MIFS proposes a blockchain-based access control scheme and a process for retrieving, authorizing, and sharing medical images. Finally, we implemented and evaluated the system to prove the feasibility of our scheme.
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References
Erickson, B.J., Korfiatis, P., Akkus, Z., Kline, T.L.: Machine learning for medical imaging, vol. 37(2), pp. 505–515 (2017)
Suzuki, K.: Overview of deep learning in medical imaging, vol. 10, no. 3, pp. 257–273 (2017)
Willemink, M.J., et al.: Preparing medical imaging data for machine learning, vol. 295, no. 1, pp. 4–15 (2020)
Wang, T., et al.: A review on medical imaging synthesis using deep learning and its clinical applications, vol. 22, no. 1, pp. 11–36 (2021)
Eichelberg, M., Kleber, K., Kämmerer, M.: Cybersecurity challenges for PACS and medical imaging, vol. 27, no. 8, pp. 1126–1139 (2020)
Thabit, R.: Review of medical image authentication techniques and their recent trends, vol. 80, no. 9, pp. 13 439–13 473 (2021)
Sharma, P., Jindal, R., Borah, M.D.: Blockchain technology for cloud storage: a systematic literature review, vol. 53, no. 4, pp. 89:1–89:32 (2020)
Dai, M., Zhang, S., Wang, H., Jin, S.: A low storage room requirement framework for distributed ledger in blockchain, vol. 6, pp. 22 970–22 975 (2018)
Palai, A., Vora, M., Shah, A.: Empowering light nodes in blockchains with block summarization. In: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2018, pp. 1–5 (2018)
Huang, H.K.: PACS and imaging informatics : basic principles and applications. Hoboken, N.J, Wiley-Liss (2004)
Ke, X., Ping, H.: Research of remote image collaboration services based on PACS sharing platform (2016)
Taylor, P.J., Dargahi, T., Dehghantanha, A., Parizi, R.M., Choo, K.-K. R.: A systematic literature review of blockchain cyber security, vol. 6, no. 2, pp. 147–156 (2020)
Zheng, Q., Li, Y., Chen, P., Dong, X.: An innovative IPFS-based storage model for blockchain. In: IEEE/WIC/ACM International Conference on Web Intelligence (WI) 2018, pp. 704–708 (2018)
Swarm: storage and communication infrastructure for a self-sovereign digital society
Benet, J.: IPFS - content addressed, versioned, p2p file system (2014)
Wilkinson, S., Boshevski, T., Brandoff, J., Buterin, V.: Storj a peer-to-peer cloud storage network (2014)
Iakovidou, C., Anagnostopoulos, N., Lux, M., Christodoulou, K., Boutalis, Y., Chatzichristofis, S.A.: Composite description based on salient contours and color information for CBIR tasks, vol. 28, no. 6, pp. 3115–3129 (2019)
Plank, J., Simmerman, S., Schuman, C.: Jerasure: a library in c/c++ facilitating erasure coding for storage applications version 1.2 (2008)
Acknowledgment
This work was supported by National Key R&D Program of China 2017YFB0202602, 2018YFC0910405, 2017YFC1311003, 2016YFC1302500, 2016YFB0200400, 2017YFB0202104; NSFC Grants U19A2067, 61772543, U1435 222, 61625202, 61272056; Science Foundation for Distinguished Young Scholars of Hunan Province (2020JJ2009); Science Foundation of Changsha kq2004010; JZ20195242029, JH20199142034, Z202069420652; The Funds of Peng Cheng Lab, State Key Laboratory of Chemo/Biosensing and Chemometrics; the Fundamental Research Funds for the Central Universities, and Guangdong Provincial Department of Science and Technology under grant No. 2016B090918122.
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Liu, H., Xiao, X., Zhang, X., Li, K., Peng, S. (2021). MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain. In: Wei, Y., Li, M., Skums, P., Cai, Z. (eds) Bioinformatics Research and Applications. ISBRA 2021. Lecture Notes in Computer Science(), vol 13064. Springer, Cham. https://doi.org/10.1007/978-3-030-91415-8_29
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DOI: https://doi.org/10.1007/978-3-030-91415-8_29
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