Confidential storage and transmission of medical image data

Norcen, Roland; Podesser, Martina; Pommer, Andreas; Schmidt, Hans‐Peter; Uhl, Andreas

doi:10.1016/s0010-4825(02)00094-x

Cited by 86 publications

(39 citation statements)

References 20 publications

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“…In this paragraph, we present some results on medical images 1 . Table 1 shows the first-order entropy resulting from the application of Interleaved S+P.…”

Section: Compression Resultsmentioning

confidence: 99%

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Joint source–channel coding: Secured and progressive transmission of compressed medical images on the Internet

Babel¹,

Parrein²,

Déforges³

et al. 2008

Computerized Medical Imaging and Graphics

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The joint source-channel coding system proposed in this paper has two aims: lossless compression with a progressive mode and the integrity of medical data, which takes into account the priorities of the image and the properties of a network with no guaranteed quality of service. In this context, the use of scalable coding, Locally Adapted Resolution (LAR) and a discrete and exact Radon transform, known as the Mojette transform, meets this twofold requirement. In this paper, details of this joint coding implementation are provided as well as a performance evaluation with respect to the reference CALIC coding and to unequal error protection using Reed-Solomon codes.

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“…In this paragraph, we present some results on medical images 1 . Table 1 shows the first-order entropy resulting from the application of Interleaved S+P.…”

Section: Compression Resultsmentioning

confidence: 99%

“…Efficient image management consequently becomes a key issue in designing such a system. Given this situation, two main elements must be considered at the same time: compression and security strategies specific to image handling [1].…”

Section: Introductionmentioning

confidence: 99%

Joint source–channel coding: Secured and progressive transmission of compressed medical images on the Internet

Babel¹,

Parrein²,

Déforges³

et al. 2008

Computerized Medical Imaging and Graphics

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“…Computationally effect techniques for confidential storage and transmission of medical image data discuss [5].…”

Section: Related Workmentioning

confidence: 99%

Fast Dynamic Random Numbers Generator and Applications in Cryptosystems (FDRNG)

Ali¹,

Hasan²,

Abdulah³

et al. 2017

DJPS

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Security is one of the significant challenges that people are faced over the entire world in every aspect of their lives. One of the methods used in security areas is cryptography. In this work we have investigated the possibility of using the multi logistic maps in the dynamical matrix for pseudo random number generator. Theoretical analysis and experimental show the sequences generated by the proposed random number generated possess many good properties. The proposed can be used in many applications requiring random binary sequences and also in the design of secure cryptosystems.

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Section: Secure Transmission Of Encoded Bitstreamsmentioning

confidence: 99%

Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework

Babel

Pasteau

Strauss

et al. 2012

Advances in Reasoning-Based Image Processing Intelligent Systems

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Through the development of medical imaging systems and their integration into a complete information system, the need for advanced joint coding and network services becomes predominant. PACS (Picture Archiving and Communication System) aims to acquire, store and compress, retrieve, present and distribute medical images. These systems have to be accessible via the Internet or wireless channels. Thus protection processes against transmission errors have to be added to get a powerful joint source-channel coding tool. Moreover, these sensitive data require confidentiality and privacy for both archiving and transmission purposes, leading to use cryptography and data embedding solutions. This chapter introduces data integrity protection and developed dedicated tools of content protection and secure bitstream transmission for medical encoded image purposes. In particular, the LAR image coding method is defined together with advanced securization services.

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Confidential storage and transmission of medical image data

Cited by 86 publications

References 20 publications

Joint source–channel coding: Secured and progressive transmission of compressed medical images on the Internet

Joint source–channel coding: Secured and progressive transmission of compressed medical images on the Internet

Fast Dynamic Random Numbers Generator and Applications in Cryptosystems (FDRNG)

Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework

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