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


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.

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    • "Giakoumaki et al. propose a wavelet based algorithm that embeds multiple watermarks into medical images in order to help in the authentication of doctor's digital signature and in the integrity control of the data [8]. Khamlichi et al. present a combined technique for embedding the patient data record directly into mammography images for tamper detection [9]. "
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    ABSTRACT: This paper proposes a blind watermarking algorithm for transferring medical data securely over the public network. A text watermark is embedded into (YCBCR) color channels of each medical video frame using Discrete Wavelet Transform and Principle Component Analysis. In our experiments, the watermark includes the electronic records for patients with three different sizes. Experimental results show high imperceptibility and robustness against attacks. The maximum PSNR achieved by the proposed technique is 61 dB while the least is 45 dB. The maximum number of characters embedded in the medical video frame is 146 characters.
    International Journal of Computer Applications 08/2013; DOI:10.5120/13210-0591
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    • "Raul et al. [11] proposes watermarking scheme that combines data compression, encryption and watermarking techniques and image moment theory applied to radiological medical images. He uses the DTCOM (Digital Imaging and Communications in Medicine) file contains a header (which stores information about the patient's name, the type of scan, image dimension, etc.) as a watermark to be embedded in medical images extracted from the DICOM file. "
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    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
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    • "The degradation introduced in watermarked image with respect to original one is determined by using PSNR and MSE metrics where PSNR is the Peak Signal to Noise ratio and MSE is mean square error as described in [14]. PSNR computes the peak signal to noise ratio in decibels between two images. "
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    ABSTRACT: Medical image is usually comprised of region of interest (ROI) and region of non interest (RONI). ROI is the region that contains the important information from diagnosis point of view so it must be stored without any distortion. We have proposed a digital watermarking technique which avoids the distortion of image in ROI by embedding the watermark information in RONI. The watermark is comprised of patient information, hospital logo and message authentication code, computed using hash function. Earlier BCH encryption of watermark is performed to ensure inaccessibility of embedded data to the adversaries.
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