Reliable and robust transmission and storage of medical images with patient information

Usha R. Acharya, P. Bhat, M. S. Kumar, C. M. Lim
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引用次数: 100

Abstract

A new method for compact storage and transmission of medical images with concealed patient information in noisy environment is evinced. Digital watermarking is the technique adapted here for interleaving patient information with medical images. The patient information, which comprises of text data and signal graph, is encrypted to prevent unauthorized access of data. The latest encryption algorithm (Rijndael) is used for encrypting the text information. Signal graphs (ECG, EEG EMG etc.) are compressed using DPCM technique. To enhance the robustness of the embedded information, the patient information is coded by error correcting codes (ECC) such as (7,4) Hamming, Bose-Chaudhuri-Hocquenghem (BCH) and Reed Solomon (RS) codes .The noisy scenario is simulated by adding salt and pepper (S&P) noise to the embedded image. For different signal to noise ratio (SNR) of the image, bit error rate (BER) and number of character altered (NOCA) for text data and percentage distortion (PDIST) for the signal graph are evaluated. The performance comparison based on the above parameters is conducted for three types of ECC. It is elicited that coded systems can perform better than the uncoded systems.
具有患者信息的医学图像的可靠、稳健的传输和存储
提出了一种在噪声环境下对隐藏患者信息的医学图像进行压缩存储和传输的新方法。数字水印技术适用于将患者信息与医学图像交叉处理。患者信息由文本数据和信号图组成,经过加密,防止未经授权的数据访问。文本信息采用最新的Rijndael加密算法进行加密。信号图(心电、脑电图、肌电图等)使用DPCM技术进行压缩。为了提高嵌入信息的鲁棒性,采用(7,4)Hamming、Bose-Chaudhuri-Hocquenghem (BCH)和Reed Solomon (RS)码等纠错码对患者信息进行编码,并通过在嵌入图像中加入盐和胡椒(S&P)噪声来模拟噪声场景。对图像的不同信噪比(SNR),文本数据的误码率(BER)和字符改变数(NOCA)以及信号图的百分比失真(PDIST)进行了评估。基于上述参数对三种类型的ECC进行性能比较。由此得出,编码系统比非编码系统性能更好。
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