Open AccessDesign and Implementation of a Desensitization Method of CT Medical Image based on DICOM
Author(s) -
Jiantin Yuan,
Wei Wu,
Wenqiang Zhang,
Xiaoyi Lv,
Chen Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1576/1/012014
Subject(s) - desensitization (medicine) , computer science , dicom , protocol (science) , computer security , image (mathematics) , data mining , computer vision , artificial intelligence , medicine , pathology , alternative medicine , receptor
Medical big data, medical image processing and other fields are based on a large number of clinical data. Data desensitization is of great significance to the privacy protection of patients. CT image desensitization based on DICOM standard protocol only uses the strategy of hiding or deleting the data on the image, which greatly weakens the value of data use and cannot meet the normal value demand. Data desensitization should consider that it can still meet the needs of data mining and other applications on the basis of ensuring the privacy security of users. Based on the above application requirements, a strategy to anonymize patient identity is developed. Based on this strategy, a desensitization method that can meet the actual desensitization standards and analysis application requirements at the same time is proposed. This method can not only protect the privacy of patients to a great extent, but also ensure the availability and authenticity of desensitized data. In the future, this method has great potential in the application of CT image desensitization.