Image De-Identification Methods for Clinical Research in the XDS Environment

Journal of Medical Systems
K Y E AryantoP M A van Ooijen

Abstract

To investigate possible de-identification methodologies within the Cross-Enterprise Document Sharing for imaging (XDS-I) environment in order to provide strengthened support for image data exchange as part of clinical research projects. De-identification, using anonymization or pseudonymization, is the most common method to perform information removal within DICOM data. However, it is not a standard part of the XDS-I profiles. Different methodologies were observed to define how and where de-identification should take place within an XDS environment used for scientific research. De-identification service can be placed in three locations within the XDS-I framework: 1) within the Document Source, 2) between the Document Source and Document Consumer, and 3) within the Document Consumer. First method has a potential advantage with respect to the exposure of the images to outside systems but has drawbacks with respect to additional hardware and configuration requirements. Second and third method have big concern in exposing original documents with all identifiable data being intact after leaving the Document Source. De-identification within the Document Source has more advantages compared to the other methods. On the contrary, it is ...Continue Reading

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Mar 4, 2015·Journal of Medical Systems·Maren JuhrKatsuhiko Takabayashi

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Citations

Sep 6, 2018·Proceedings of the National Academy of Sciences of the United States of America·Jessica B A SadlerJuan Martin-Serrano
Oct 31, 2020·Journal of Digital Imaging·Marco EichelbergMarc Kämmerer
May 4, 2021·Radiology. Artificial Intelligence·Jackson M SteinkampTessa S Cook

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Software Mentioned

DICOM
XDS

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