ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

Qasim, A; Aspin, R; Meziane, F; Hogg, P

Abstract

Reversible and imperceptible watermarking is recognized as a robust approach to confirm the integrity and authenticity of medical images and to verify that alterations can be detected and tracked back. In this paper, a novel blind reversible watermarking approach is presented to detect intentional and unintentional changes within brain Magnetic Resonance (MR) images. The scheme segments images into two parts; the Region of Interest (ROI) and the Region of Non Interest (RONI). Watermark data is encoded into the ROI using reversible watermarking based on the Difference Expansion (DE) technique. Experimental results show that the proposed method, whilst fully reversible, can also realize a watermarked image with low degradation for reasonable and controllable embedding capacity. This is fulfilled by concealing the data into ‘smooth’ regions inside the ROI and through the elimination of the large location map required for extracting the watermark and retrieving the original image. Our scheme delivers highly imperceptible watermarked images, at 92.18-99.94dB Peak Signal to Noise Ratio (PSNR) evaluated through implementing a clinical trial based on relative Visual Grading Analysis (relative VGA). This trial defines the level of modification that can be applied to medical images without perceptual distortion. This compares favorably to outcomes reported under current state-of-art techniques. Integrity and authenticity of medical images are also ensured through detecting subsequent changes enacted on the watermarked images. This enhanced security measure, therefore, enables the detection of image manipulations, by an imperceptible approach, that may establish increased trust in the digital medical workflow.

Citation

Qasim, A., Aspin, R., Meziane, F., & Hogg, P. (2019). ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools and Applications, 78(12), 16433-16463. https://doi.org/10.1007/s11042-018-7029-7

• Journal Article Type: Article
• Acceptance Date: Dec 3, 2018
• Online Publication Date: Dec 15, 2018
• Publication Date: Jun 30, 2019
• Deposit Date: Dec 4, 2018
• Publicly Available Date: Jan 7, 2019
• Journal: Multimedia Tools and Applications
• Print ISSN: 1380-7501
• Electronic ISSN: 1573-7721
• Publisher: Springer Verlag
• Volume: 78
• Issue: 12
• Pages: 16433-16463
• DOI: https://doi.org/10.1007/s11042-018-7029-7
• Publisher URL: https://doi.org/10.1007/s11042-018-7029-7
• Related Public URLs: https://link.springer.com/journal/11042