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

Journal article


Qasim, A.F., Aspin, R., Meziane, F. and Hogg, P. 2018. ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools and Applications. Vol 78 (Issue 12), pp. 16433 - 16463. https://doi.org/10.1007/s11042-018-7029-7
AuthorsQasim, A.F., Aspin, R., Meziane, F. and 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 92.18–99.94 dB 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.

KeywordsAuthenticity; ; DICOM; ; Difference expansion; ; Integrity; ; Medical imaging; ; Reversible watermarking
Year2018
JournalMultimedia Tools and Applications
Journal citationVol 78 (Issue 12), pp. 16433 - 16463
PublisherSpringer
ISSN1573-7721
13807501
Digital Object Identifier (DOI)https://doi.org/10.1007/s11042-018-7029-7
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-85058453577&partnerID=MN8TOARS
Output statusPublished
Publication dates
Online15 Dec 2018
30 Jun 2019
Publication process dates
Accepted03 Dec 2018
Deposited05 Jun 2023
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