用于医学图像认证和病人数据隐藏的高容量可逆脆性水印方法

IF 3.5 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Systems Pub Date : 2024-10-19 DOI:10.1007/s10916-024-02110-x
Riadh Bouarroudj, Fatma Zohra Bellala, Feryel Souami
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引用次数: 0

摘要

过去十年来,在通信和医疗服务进步的推动下,通过互联网交换医学影像和病人数据引起了广泛关注。然而,通过互联网等不安全的渠道传输机密数据会使数据受到潜在的操纵和攻击。为了确保医学图像的真实性,同时隐藏其中的患者数据,本文介绍了一种高容量、可逆的易碎水印模型,其中认证水印最初由封面图像生成,并与患者信息、照片和医疗报告合并形成全局水印。随后,利用混沌陈系统技术对该水印进行加密,从而提高模型的安全性,确保患者数据的保密性。然后,对封面图像进行离散傅里叶变换(DFT),利用新的嵌入技术将加密水印插入频率系数中。实验结果表明,所提出的方法实现了极高的水印图像质量,PSNR 超过 113 dB,SSIM 接近 1,同时保持了 3 BPP(每像素比特)的高嵌入容量,并提供了完美的可逆性。此外,所提出的模型对攻击具有很高的灵敏度,在所有 18 种测试攻击中都能成功检测出篡改行为,并实现了近乎完美的水印提取精度,比特误差率 (BER) 为 0.0004%。这种高水印提取精度对于我们的工作至关重要,因为我们需要在几乎不做任何改动的情况下从水印图像中检索病人数据。
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High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding.

The exchange of medical images and patient data over the internet has attracted considerable attention in the past decade, driven by advancements in communication and health services. However, transferring confidential data through insecure channels, such as the internet, exposes it to potential manipulations and attacks. To ensure the authenticity of medical images while concealing patient data within them, this paper introduces a high-capacity and reversible fragile watermarking model in which an authentication watermark is initially generated from the cover image and merged with the patient's information, photo, and medical report to form the global watermark. This watermark is subsequently encrypted using the chaotic Chen system technique, enhancing the model's security and ensuring patient data confidentiality. The cover image then undergoes a Discrete Fourier Transform (DFT) and the encrypted watermark is inserted into the frequency coefficients using a new embedding technique. The experimental results demonstrate that the proposed method achieves great watermarked image quality, with a PSNR exceeding 113 dB and an SSIM close to 1, while maintaining a high embedding capacity of 3 BPP (Bits Per Pixel) and offering perfect reversibility. Furthermore, the proposed model demonstrates high sensitivity to attacks, successfully detecting tampering in all 18 tested attacks, and achieves nearly perfect watermark extraction accuracy, with a Bit Error Rate (BER) of 0.0004%. This high watermark extraction accuracy is crucial in our situation where patient data need to be retrieved from the watermarked images with almost no alteration.

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来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
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