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http://dx.doi.org/10.33778/kcsa.2019.19.5.075

Design and Implementation of Automated Detection System of Personal Identification Information for Surgical Video De-Identification  

Cho, Youngtak ((주)엠티이지 지능형SW연구소)
Ahn, Kiok ((주)엠티이지 지능형SW연구소)
Publication Information
Convergence Security Journal / v.19, no.5, 2019 , pp. 75-84 More about this Journal
Abstract
Recently, the value of video as an important data of medical information technology is increasing due to the feature of rich clinical information. On the other hand, video is also required to be de-identified as a medical image, but the existing methods are mainly specialized in the stereotyped data and still images, which makes it difficult to apply the existing methods to the video data. In this paper, we propose an automated system to index candidate elements of personal identification information on a frame basis to solve this problem. The proposed system performs indexing process using text and person detection after preprocessing by scene segmentation and color knowledge based method. The generated index information is provided as metadata according to the purpose of use. In order to verify the effectiveness of the proposed system, the indexing speed was measured using prototype implementation and real surgical video. As a result, the work speed was more than twice as fast as the playing time of the input video, and it was confirmed that the decision making was possible through the case of the production of surgical education contents.
Keywords
Surgical Videos; Medical Video Objectification; IRB; De-Identification; Privacy;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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