Authentication and self-correction in sequential MRI slices.

J Digit Imaging

Department of Informatics, Computer Science, School of Science and Technology, Hellenic Open University, Tsamadou 13-15, 26222 Patras, Greece.

Published: October 2011

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Article 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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3180543PMC
http://dx.doi.org/10.1007/s10278-010-9340-3DOI Listing

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