Abstract
One of the new challenges of Information Technology in the medical world is the protection and authentication of a variety of digital medical files, datasets, and images. In this work, the ability of magnetic resonance imaging (MRI) slice sequences to hide digital data is investigated and more specifically the case that the hidden data are the regions of interest (ROI) of the MRI slices. The regions of non-interest (RONI) are used as cover. The hiding capacity of the whole sequence is taken into account. Any ROI-targeted tampering attempt can be detected, and the original image can be self-restored (under certain conditions) by extracting the ROI from the RONI.
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Acknowledgments
Special thanks to the Institute for Advanced Biomedical Technologies (ITAB), Gabriele D’ Annunzio University, Chieti–Pescara, Italy and the Director Prof. Gian-Luca Romani for providing the MRI test sets. Maria L. Stavrinou is currently supported by a State Scholarship Foundation Post-Doctoral grant.
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Fotopoulos, V., Stavrinou, M.L. & Skodras, A.N. Authentication and Self-Correction in Sequential MRI Slices. J Digit Imaging 24, 943–949 (2011). https://doi.org/10.1007/s10278-010-9340-3
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DOI: https://doi.org/10.1007/s10278-010-9340-3