Mikhail Valeryevich Milchenko PhD, Presenter: Nothing to Disclose

Kevin A. Archie, Abstract Co-Author: Nothing to Disclose

Daniel Marcus PhD, Abstract Co-Author: Owner, Radiologics, Inc

1. To understand anonymization requirements for DICOM tags; 2. To understand whether a 3D rendering of head anatomy scan (e.g. MR) can identify a person; 3. To understand the difference between de-identified and original head scans for the identification purposes, and for the purposes of automatic post-processing. 4. To learn to share MR head data using automatic online de-identification tools based on pipelines in XNAT (open source research image sharing database);  

1. 3D head visualizations based on high resolution MR scan vs. photographs for identification purposes. 2. Obscuring facial features: registering the image into atlas space combined with anatomical surface obscuring 4. Sharing data using the open source research database engine (XNAT) with DICOM anonymization and face obscuring pipeline 5. Comparison of original and face-obscured MR head renderings. 6. Outcomes of post-processing tools (gain field correction, skull stripping, registration) on original and face-obscured MR images      

The exhibit will review the de-identification technique that consists of DICOM anonymization and obscuring of face anatomy. The emphasis will be made on learning the impact of face obscuring algorithm on visual change in a 3D rendering appearance, and on examining the outcomes of post-processing tools used on obscured images.

Milchenko, M, Archie, K, Marcus, D, Ensuring Research Subject Privacy: Anonymization and Obscuring of Facial Features of Shared Head Volumes Using Open Source Online Tools in XNAT.  Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12026800.html