ArticleJournal of medical systems2016
Sensitive Patient Data Hiding using a ROI Reversible Steganography Scheme for DICOM Images.
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding.Journal of medical systems · 2024Article
- Information Hiding in the DICOM Message Service and Upper Layer Service with Entropy-Based Detection.Entropy (Basel, Switzerland) · 2022Article
- A Comprehensive Survey on Security and Privacy for Electronic Health Data.International journal of environmental research and public health · 2021Review
- Data Integrity of Radiology Images Over an Insecure Network Using AES Technique.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- BOOST: Medical Image Steganography Using Nuclear Spin Generator.Entropy (Basel, Switzerland) · 2020Article
- A De-Identification Pipeline for Ultrasound Medical Images in DICOM Format.Journal of medical systems · 2017Article
- Secured Medical Images - a Chaotic Pixel Scrambling Approach.Journal of medical systems · 2016Article
- A New Method for Computed Tomography Angiography (CTA) Imaging via Wavelet Decomposition-Dependented Edge Matching Interpolation.Journal of medical systems · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The exchange of medical images over the Internet has evoked significant interest over the past few years due to the introduction of web and cloud based medical information systems. The protection of sensitive data has always been a key indicator in the performance of such systems. In this context, this work presents an algorithm developed for Digital Imaging and Communications in Medicine (DICOM) medical images, which applies secret-sharing steganography methods for ensuring the integrity of sensitive patient data as well as the important parts of the image. In the proposed algorithm, images are divided into two parts: the region of interest (ROI) and the region of non interest (RONI). Patient data and integrity hashes are positioned inside the ROI while the information (map) needed to recover the ROI before insertion is positioned in the RONI. Security of the extraction process is assured through the use of cryptography. The experimental results prove that the original (cover) images and the stego images provide an excellent visual equality result in terms of PSNR. Furthermore, they prove that the proposed scheme can be efficiently used as a steganography scheme in DICOM images with limited smooth areas.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.