39
Views
7
CrossRef citations to date
0
Altmetric
Innovations

Efficient high capacity technique to embed EPR information and to detect tampering in medical images

&
Pages 55-68 | Received 19 Nov 2018, Accepted 14 Jan 2020, Published online: 21 Feb 2020
 

Abstract

Reversible data hiding (RDH) is one of the well-known and highly recommended method to enhance medical data security or electronic patient record (EPR), privacy and truthfulness. In clinical images, while hiding the data, care must be taken to maintain the confidentiality of the information that is to be hidden within the clinical images because the hidden information should not bring down the original quality of the image. Mostly, the investigations carried out for medical diagnosis are usually constructed on the basis of investigation systems used for diagnosis and are grounded on the images usually used for medical study. Magnetic resonance image (MRI), CR and CT, digital format images which are acquired are related to the patient’s data and information regarding their diagnosis study. In this presented approach, we introduce an RDH scheme that can also be combined with encryption and reversible watermarking techniques. Here, we use the data related to the patient diagnosis as the secret information to embed in medical images. Quality of the marked image after embedding the data is usually measured with metrics that are usually used in image processing such as PSNR and SSIM.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 706.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.