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A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology.

Jian Li1, Zelin Zhang1, Shengyu Li2

  • 1Qilu University of Technology (Shandong Academy of Science), Shandong Provincial Key Laboratory of Computer Networks Jinan, Jinan, China.

BMC Medical Informatics and Decision Making
|December 16, 2020
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Summary
This summary is machine-generated.

This study introduces a novel algorithm for protecting sensitive regions in medical images, ensuring secure data transmission and full recovery without information loss. The method encrypts key areas, allowing safe storage and sharing of medical imaging data. Keywords: medical image security, data encryption, information recovery.

Keywords:
Image segmentationKey regionQR codeReversible data hidingSelective encryptionTexture complexity

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Area of Science:

  • Medical Imaging
  • Information Security
  • Data Privacy

Background:

  • Medical image data requires high privacy and confidentiality for transmission over open networks.
  • Existing solutions like information-hiding and encryption can hinder original image recovery.
  • Protecting sensitive patient information within medical images is a significant challenge.

Purpose of the Study:

  • To develop a secure algorithm for protecting key regions within medical images.
  • To enable safe storage and transmission of medical image data in open network environments.
  • To ensure authorized personnel can recover sensitive patient information without data loss.

Main Methods:

  • Identified key regions (lesion areas) using coefficient of variation.
  • Analyzed texture complexity of additional areas processed as blocks.
  • Developed a reversible data-hiding algorithm embedding lesion data into high-texture areas.
  • Utilized Arnold transformation for lesion information protection.
  • Generated a QR code using image basic information ciphertext and decryption parameters.

Main Results:

  • The algorithm enables secure storage and transmission of medical image data.
  • Sensitive regions within medical images are fully recoverable post-encryption without information loss.
  • Metadata about the patient and image can be stored and recovered from the public image.

Conclusions:

  • The presented approach ensures the safe transmission and storage of medical image data.
  • Full recovery of sensitive regions in medical images is achieved post-encryption.
  • Metadata is securely embedded and retrievable, enhancing data management.