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DICOM PII De-Identification and Reversible Data Hiding.

Zhu-Xuan Huang1, Yu-Chih Wei2

  • 1Master of Science in Information Security, National Taipei University of Technology, Taiwan.

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|August 8, 2025
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Summary

This study introduces a secure method for sharing medical images (DICOM) by using pseudonymization and encryption to protect patient privacy. The technique embeds sensitive data reversibly, ensuring diagnostic utility and full restoration when needed.

Keywords:
DICOMde-identificationencryptionpseudonymizationreversible data hiding

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Area of Science:

  • Medical Imaging
  • Information Security
  • Data Privacy

Background:

  • Sharing Digital Imaging and Communications in Medicine (DICOM) images is vital for remote medical diagnosis.
  • DICOM images contain sensitive Personally Identifiable Information (PII), necessitating robust privacy protection measures.
  • Existing methods may not adequately balance secure sharing with the preservation of diagnostic integrity.

Purpose of the Study:

  • To develop a privacy-preserving method for secure sharing of DICOM images.
  • To ensure patient data confidentiality without compromising the diagnostic utility of medical images.
  • To enable reversible embedding and extraction of sensitive information within DICOM files.

Main Methods:

  • Implementation of pseudonymization techniques to replace patient-identifiable information with virtual data.
  • Integration of encryption methods to enhance data confidentiality against unauthorized access.
  • Utilization of reversible data hiding techniques for embedding processed sensitive information into images.

Main Results:

  • Successfully replaced PII in DICOM images using pseudonymization and encryption.
  • Demonstrated effective embedding of sensitive data using reversible data hiding.
  • Confirmed that image diagnostic utility is maintained post-processing and data restoration.

Conclusions:

  • The proposed method effectively achieves secure sharing of DICOM images while protecting patient privacy.
  • Reversible data hiding ensures that sensitive information can be fully restored without data loss or diagnostic compromise.
  • This approach offers a viable solution for compliant and secure medical image exchange in healthcare settings.