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

Qasim, A, Aspin, R ORCID:, Meziane, F ORCID: and Hogg, P ORCID: 2019, 'ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images' , Multimedia Tools and Applications, 78 (12) , pp. 16433-16463.

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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.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Schools > School of Health and Society > Centre for Health Sciences Research
Journal or Publication Title: Multimedia Tools and Applications
Publisher: Springer
ISSN: 1380-7501
Related URLs:
Depositing User: Prof Farid Meziane
Date Deposited: 04 Dec 2018 14:36
Last Modified: 16 Feb 2022 00:23

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