De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology.

Journal: Journal of medical Internet research
Published Date: Dec 10, 2020

Abstract

BACKGROUND: High-resolution medical images that include facial regions can be used to recognize the subject's face when reconstructing 3-dimensional (3D)-rendered images from 2-dimensional (2D) sequential images, which might constitute a risk of infringement of personal information when sharing data. According to the Health Insurance Portability and Accountability Act (HIPAA) privacy rules, full-face photographic images and any comparable image are direct identifiers and considered as protected health information. Moreover, the General Data Protection Regulation (GDPR) categorizes facial images as biometric data and stipulates that special restrictions should be placed on the processing of biometric data.

Authors

  • Yeon Uk Jeong
    Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Soyoung Yoo
    Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
  • Young-Hak Kim
    Asan Medical Center, Seoul, Republic of Korea.
  • Woo Hyun Shim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

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