On-Board Format-Independent Security of Functional Magnetic Resonance Images

Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool for researchers to understand cerebral functions and correlate them with brain activities. In addition, with the ever-increasing diffusion of the Internet, such images may be exchanged in several ways, allowing new research and medical services. On the other hand, ensuring the security of exchanged fMRI data becomes a main concern due to their special characteristics arising from strict ethics and legislative and diagnostic implications. Again, the risks increase when dealing with open environments like the Internet. For this reason, security mechanisms that ensure protection of such data are strongly required. However, we remark that the mechanisms commonly employed for data protection are doomed to fail when dealing with imaging data. In this article, we propose a novel watermarking scheme explicitly addressed for this type of imaging. Such a scheme can be used for several purposes, particularly to ensure authenticity and integrity. Moreover, we show how to integrate our scheme within commercial off-the-shelf fMRI system. Finally, the validity and the efficiency of our scheme has been assessed through testing.

[1]  Benjamin C. Kuo,et al.  Automatic control systems (7th ed.) , 1991 .

[2]  Bruno Carpentieri,et al.  A Secure Low Complexity Approach for Compression and Transmission of 3-D Medical Images , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[3]  A. TUSTIN,et al.  Automatic Control Systems , 1950, Nature.

[4]  Oleg S. Pianykh,et al.  Digital Imaging and Communications in Medicine : A Practical Introduction and Survival Guide , 2008 .

[5]  Oluwasanmi Koyejo,et al.  Toward open sharing of task-based fMRI data: the OpenfMRI project , 2013, Front. Neuroinform..

[6]  Alfredo De Santis,et al.  Cloud-based adaptive compression and secure management services for 3D healthcare data , 2015, Future Gener. Comput. Syst..

[7]  Samia Boucherkha,et al.  A Lossless Watermarking Based Authentication System For Medical Images , 2007, International Conference on Computational Intelligence.

[8]  Christian Roux,et al.  Reversible Watermarking for Knowledge Digest Embedding and Reliability Control in Medical Images , 2009, IEEE Transactions on Information Technology in Biomedicine.

[9]  Alfredo De Santis,et al.  On the Protection of fMRI Images in Multi-domain Environments , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications.

[10]  Benjamin C. Kuo,et al.  AUTOMATIC CONTROL SYSTEMS , 1962, Universum:Technical sciences.

[11]  D. Peck Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide , 2009, Journal of Nuclear Medicine.

[12]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[13]  D. Gorgan,et al.  MedioGrid: A Grid-based Platform for Satellite Image Processing , 2007, 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

[14]  Dorian Gorgan,et al.  Satellite Image Processing Applications in MedioGRID , 2006, 2006 Fifth International Symposium on Parallel and Distributed Computing.

[15]  Bruno Carpentieri,et al.  The AVQ Algorithm: Watermarking and Compression Performances , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[16]  Valentin Cristea,et al.  Distributed algorithm for change detection in satellite images for Grid Environments , 2007, Sixth International Symposium on Parallel and Distributed Computing (ISPDC'07).

[17]  Zhou Wang,et al.  Why is image quality assessment so difficult? , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[18]  Bruno Carpentieri,et al.  Copyright Protection for Images on Mobile Devices , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[19]  O. Khan,et al.  ACM Transactions on Embedded Computing Systems continued on back cover , 2018 .