Generation of SVD Based Non-informative Unique ID for Authentication of MRI Images

Ashish Khatter, Akshat Browne, Anushikha Singh, M. Dutta, K. Říha, Radim Burget
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引用次数: 1

Abstract

This paper puts forth a viable method to generate a non-informative unique ID to overcome the security problems of images in tele-medicine applications. Unlike the prevalent methods for image security like steganography, the proposed scheme does not tamper with the medical images and ensures no loss of medical information. The digital unique ID is obtained by strategically combination of local features extracted from MRI image in Singular Value Decomposition (SVD) domain and patient's information. For authentication of medical image, the patient's information can be recovered from generated unique ID without any loss only after access of the particular unique ID. The proposed method has been tested on the publicly accessible dataset of medical MRI images and promising results were observed for solving the security issues of medical MRI images. Therefore the proposed method can be implemented in the field of tele-medicine and can be applied in areas where accurate and loss-less verification is a must as this may have great relevance when human health is concerned.
基于SVD的MRI图像非信息性唯一ID的生成
针对远程医疗应用中图像的安全问题,提出了一种可行的非信息性唯一ID生成方法。与隐写等常用的图像安全方法不同,该方案不会对医学图像进行篡改,保证了医学信息的不丢失。将MRI图像奇异值分解(SVD)域中提取的局部特征与患者信息有策略地结合,得到数字唯一ID。对于医学图像的认证,只有在访问特定的唯一ID后,才能从生成的唯一ID中恢复患者的信息而不会丢失。本文提出的方法已在可公开访问的医学MRI图像数据集上进行了测试,对于解决医学MRI图像的安全问题取得了可喜的结果。因此,拟议的方法可在远程医疗领域实施,并可应用于必须进行准确和无损失核查的领域,因为这在涉及人类健康时可能具有很大的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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