Blind Integrity Verification of Medical Images

2012 ◽  
Vol 16 (6) ◽  
pp. 1122-1126 ◽  
Author(s):  
Hui Huang ◽  
G. Coatrieux ◽  
Huazhong Shu ◽  
Limin Luo ◽  
C. Roux
Keyword(s):  
Medical Images ◽  
Integrity Verification

Medical Images Authentication through Repetitive Index Modulation Based Watermarking

2011 ◽  
pp. 202-209 ◽  
Author(s):  
Chang-Tsun Li ◽  
Yue Li
Keyword(s):  
Digital Watermarking ◽  
Medical Images ◽  
Regions Of Interest ◽  
Integrity Verification ◽  
The Creation ◽  
Watermarking Scheme ◽  
Index Modulation

In this work we propose a Repetitive Index Modulation (RIM) based digital watermarking scheme for authentication and integrity verification of medical images. Exploiting the fact that many types of medical images have significant background areas and medically meaningful Regions of Interest (ROI), which represent the actual contents of the images, the scheme uses the contents of the ROI to create a content-dependent watermark and embeds the watermark in the background areas. Therefore when any pixel of the ROI is attacked, the watermark embedded in the background areas will be different from the watermark calculated according to the attacked contents, thus raising alarm that the image in question is inauthentic. Because the creation of the watermark is content-dependent and the watermark is only embedded in the background areas, the proposed scheme can actually protect the content/ROI without distorting it.

scholarly journals Medical Image Blind Integrity Verification with Krawtchouk Moments

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xu Zhang ◽  
Xilin Liu ◽  
Yang Chen ◽  
Huazhong Shu
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Image Features ◽  
Image Feature ◽  
Verification Method ◽  
Integrity Verification ◽  
Krawtchouk Moments ◽  
Tchebichef Moments ◽  
Block Based ◽  
Image Integrity

A new blind integrity verification method for medical image is proposed in this paper. It is based on a new kind of image features, known as Krawtchouk moments, which we use to distinguish the original images from the modified ones. Basically, with our scheme, image integrity verification is accomplished by classifying images into the original and modified categories. Experiments conducted on medical images issued from different modalities verified the validity of the proposed method and demonstrated that it can be used to detect and discriminate image modifications of different types with high accuracy. We also compared the performance of our scheme with a state-of-the-art solution suggested for medical images—solution that is based on histogram statistical properties of reorganized block-based Tchebichef moments. Conducted tests proved the better behavior of our image feature set.

Medical Images Authentication through Repetitive Index Modulation Based Watermarking

2009 ◽  
Vol 1 (4) ◽  
pp. 32-39 ◽  
Author(s):  
Chang-Tsun Li ◽  
Yue Li
Keyword(s):  
Digital Watermarking ◽  
Medical Images ◽  
Regions Of Interest ◽  
Integrity Verification ◽  
The Creation ◽  
Watermarking Scheme ◽  
Index Modulation

In this work we propose a Repetitive Index Modulation (RIM) based digital watermarking scheme for authentication and integrity verification of medical images. Exploiting the fact that many types of medical images have significant background areas and medically meaningful Regions Of Interest (ROI), which represent the actual contents of the images, the scheme uses the contents of the ROI to create a content-dependent watermark and embeds the watermark in the background areas. Therefore when any pixel of the ROI is attacked, the watermark embedded in the background areas will be different from the watermark calculated according to the attacked contents, thus raising alarm that the image in question is inauthentic. Because the creation of the watermark is content-dependent and the watermark is only embedded in the background areas, the proposed scheme can actually protect the content/ROI without distorting it.

Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane
Keyword(s):  
Ethical Issues ◽  
Medical Images ◽  
Practical Significance ◽  
Innovative Technology ◽  
New Era ◽  
Naked Eye ◽  
Disease Characteristics ◽  
The Future ◽  
Using Data ◽  
The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

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