• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Robust Image Similarity Measurement based on MR Physical Information

Vol. 11, No.9, September 30, 2017
10.3837/tiis.2017.09.015, Download Paper (Free):


Recently, introduction of the hospital information system has remarkably improved the efficiency of health care services within hospitals. Due to improvement of the hospital information system, the issue of integration of medical information has emerged, and attempts to achieve it have been made. However, as a preceding step for integration of medical information, the problem of searching the same patient should be solved first, and studies on patient identification algorithm are required. As a typical case, similarity can be calculated through MPI (Master Patient Index) module, by comparing various fields such as patient's basic information and treatment information, etc. but it has many problems including the language system not suitable to Korean, estimation of an optimal weight by field, etc. This paper proposes a method searching the same patient using MRI information besides patient's field information as a supplementary method to increase the accuracy of matching algorithm such as MPI, etc. Unlike existing methods only using image information, upon identifying a patient, a highest weight was given to physical information of medical image and set as an unchangeable unique value, and as a result a high accuracy was detected. We aim to use the similarity measurement result as secondary measures in identifying a patient in the future.


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Cite this article

[IEEE Style]
Sung-Jong Eun, Eun-Young Jung, Dong Kyun Park and Taeg-Keun Whangbo, "Robust Image Similarity Measurement based on MR Physical Information," KSII Transactions on Internet and Information Systems, vol. 11, no. 9, pp. 4461-4475, 2017. DOI: 10.3837/tiis.2017.09.015

[ACM Style]
Eun, S., Jung, E., Park, D. K., and Whangbo, T. 2017. Robust Image Similarity Measurement based on MR Physical Information. KSII Transactions on Internet and Information Systems, 11, 9, (2017), 4461-4475. DOI: 10.3837/tiis.2017.09.015