Conference Paper

Data Hiding Scheme for Medical Images

Nat. Inst. for Astrophys., Opt. & Electron., Mexico City
DOI: 10.1109/CONIELECOMP.2007.14 Conference: Proceedings of the 17th International Conference on Electronics, Communications and Computers

ABSTRACT Digital image watermarking has been proposed as a method to enhance medical data security, confidentiality and integrity. Medical image watermarking requires extreme care when embedding additional data within the medical images because the additional information must not affect the image quality. Many of the exploration systems used for medical diagnosis are based on the medical study images. CR, MR and CT, obtain images that can be stored in digital formats such as (DICOM files) which are related with data of patients and information about the study. In this paper we present a watermarking scheme that combines data compression, encryption and watermarking techniques and image moment theory applied to radiological medical images. In this work we use DICOM data as a watermark to embed in medical images. Image quality is measured with metrics which are used in image processing such as PSNR and MSE. Our results show good accuracy in the watermark extraction process.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Embedding Electronic Patient Record (EPR) in Medical images and Secret Military Message (SMM) in Military images are two similar applications of datahiding in images. Telemedicine and Teleradiology systems are able to avail many advantages of EPR data hiding in medical images. In this paper, a new method of ASCII text datahiding in the least significant digits of image pixel values is proposed. This investigation mainly focuses on enhancing the capacity of datahiding in medical images. Hiding capacity is very important in the case of datahiding in medical images. Achieving high values for the capacity is a challenge because, image quality decreases with the capacity, leading to a trade off between the two. Experimental results show that this scheme outperforms previous methods in terms of data embedding capacity.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In recent times, the augmented influence of globalization in the medical domain is quite noticeable and is very much evident from the modern medical approaches. Exchanging medical information using communication technologies to provide health care services for mutual availability of therapeutic case studies amongst various geographically distant diagnostic centers or hospitals is a very common practice now a days. However, during the exchange of medical data which is of critical importance, unauthorized entities may interfere. These entities may also modify the data which is unacceptable. In this chapter, we propose a novel approach to design a robust online biomedical content authentication and tamper detection system, where a watermark is embedded on the biomedical information to be sent, to protect its integrity and safety. In the current work, the medical data exchanged is an Electroencephalogram Signal (EEG signal), and the watermark that is embedded is the logo of the hospital or Electronic Patient Record (EPR). The proposed process is accomplished by coloring the EEG signal data in the file which can be sent to the authorized user by sending the data file or URL. The receiver decodes the received file and extracts the embedded watermark. The similarity between the original and received watermark claims that the medical data has not been tampered. And thus, this proposed intelligent web based system of binary image watermarking into the EEG data, along with the high level of robustness, imperceptibility and payload that it provides, proposed system can serve as an accurate authentication and tamper detection system.
    Brain-Computer Interface, 1 edited by Aboul Ella Hassanien, Ahmad Taher Azar, 11/2014: chapter 11: pages 296-311; Springer International Publishing., ISBN: 1868-4394
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a blind watermarking algorithm for medical images and medical video frames based on Principle Component Analysis (PCA) and Digital Wavelet Transform (DWT). Quantization Index Modulation (QIM) is used as a method for blindness of our scheme. Different types of medical video frames are used in the evaluation process such as MRI, CT, Ultrasound and X-Rays. Experimental results show high imperceptibility where there is no noticeable difference between the watermarked video frames and the original frames (PSNR ;:::; 51 dB). By varying the watermark size, high capacity watermark is achieved without affecting the quality of the medical frame. The performance of the proposed scheme is investigated when varying the impact factor and the compression rate. Simulation results indicate that the proposed algorithm achieves high robustness against compression and higher watermark capacity.
    Radio Science Conference (NRSC), 2013 30th National; 01/2013


1 Download
Available from