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Decentralized autonomous imaging data processing using blockchain
Author(s): Ronghua Xu; Sherry Chen; Lixin Yang; Yu Chen; Genshe Chen
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Paper Abstract

Imaging studies are one of the leading drivers of modern medical decision making, and thus, their accessibility to healthcare providers and patients is of critical importance. However, current techniques for storage and transferring medical imaging data are inconvenient and sometimes wholly inadequate. In this paper, we propose a decentralized autonomous medical image processing approach using blockchain technology. Blockchain will enable the sharing of key relevant data using a distributed, decentralized, shared ledger that is available to participants. We outline a framework that utilizes blockchain to enable users to access imaging data in a secure and autonomous manner. A user case is experimentally investigated to validate our proposed approach.

Paper Details

Date Published: 27 February 2019
PDF: 11 pages
Proc. SPIE 10871, Multimodal Biomedical Imaging XIV, 108710U (27 February 2019); doi: 10.1117/12.2513243
Show Author Affiliations
Ronghua Xu, Binghamton Univ. (United States)
Sherry Chen, Binghamton Univ. (United States)
Lixin Yang, Intelligent Fusion Technology, Inc (United States)
Yu Chen, Binghamton Univ. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 10871:
Multimodal Biomedical Imaging XIV
Fred S. Azar; Xavier Intes; Qianqian Fang, Editor(s)

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