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Wideband Optical Detector of Ultrasound for Medical Imaging Applications
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Wavelet packets-based blind watermarking for medical image management.

Salwa A K Mostafa1, Naser El-Sheimy, A S Tolba

  • 1Department of Electrical Engineering, Faculty of Engineering, Suez-Canal University, Egypt.

The Open Biomedical Engineering Journal
|August 12, 2010
PubMed
Summary

This study introduces a novel blind watermarking technique to embed electronic patient record (EPR) data into medical images using a hospital logo. The method ensures secure data sharing and storage, proving robust against various attacks.

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Area of Science:

  • Medical Imaging
  • Information Security
  • Digital Watermarking

Background:

  • Increasing use of medical images and Electronic Patient Records (EPR) necessitates secure data sharing.
  • Traditional methods face challenges in ensuring data security, authenticity, and efficient storage/transmission.
  • Watermarking techniques offer a solution for protecting sensitive medical information.

Purpose of the Study:

  • To develop a secure and robust blind watermarking technique for embedding EPR data into medical images.
  • To reduce storage space and transmission overheads for medical data.
  • To enhance the security and authenticity of shared patient information.

Main Methods:

  • Embedding EPR information as a watermark in the Discrete Wavelet Packet Transform (DWPT) of medical images.
Keywords:
BCH code.Medical image watermarking (MIW)discrete wavelet packet transform DWPTelectronic patient record (EPR)

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  • Utilizing the hospital logo as a reference image for watermarking.
  • Employing BCH codes (error correcting code) to improve robustness.
  • Implementing a blind watermarking scheme for watermark extraction without the original image.

    • Main Results:

    • No visible difference between original and watermarked medical images (MRA, MRI, Radiological, CT).
    • The proposed method demonstrated robustness against various attacks including JPEG compression, noise, histogram equalization, and geometric transformations.
    • Successful blind extraction of EPR data from watermarked images.

    Conclusions:

    • The developed watermarking technique effectively embeds EPR data into medical images, ensuring security and reducing data size.
    • The method is robust against common image processing operations and attacks, making it suitable for telemedicine.
    • This technique enhances the secure management and transmission of sensitive patient information in healthcare settings.