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A Low Noise Stenography Method for Medical Images with QR Encoding of Patient Information

机译:具有患者信息QR编码的医学图像低噪声速记方法

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This paper proposes an approach to facilitate the process of individualization of patients from their medical images, without compromising the inherent confidentiality of medical data. The identification of a patient from a medical image is not often the goal of security methods applied to image records. Usually, any identification data is removed from shared records, and security features are applied to determine ownership. We propose a method for embedding a QR-code containing information that can be used to individualize a patient. This is done so that the image to be shared does not differ significantly from the original image. The QR-code is distributed in the image by changing several pixels according to a threshold value based on the average value of adjacent pixels surrounding the point of interest. The results show that the code can be embedded and later fully recovered with minimal changes in the UIQI index - less than 0.1% of different.
机译:本文提出了一种在不损害医学数据固有保密性的前提下,促进患者根据其医学图像进行个性化处理的方法。从医学图像识别患者通常不是应用于图像记录的安全方法的目标。通常,将从共享记录中删除任何标识数据,并应用安全功能来确定所有权。我们提出了一种嵌入QR码的方法,该QR码包含可用于个性化患者的信息。这样做是为了使要共享的图像与原始图像没有显着差异。通过基于围绕关注点的相邻像素的平均值根据阈值改变几个像素,将QR码分布在图像中。结果表明,可以将代码嵌入并随后在UIQI索引中进行最小更改的情况下完全恢复-差异小于0.1%。

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