The integration of medical images with the electronic patient record and their web-based distribution1

Münch, H.; Engelmann, Uwe; Schröter, Andre; Meinzer, Hans-Peter

doi:10.1016/j.acra.2004.03.047

Cited by 29 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Millions of medical images are being produced in radiology departments around the world, which have immense value to practicing medical professionals, medical researchers, and students [53]. Researches in this field are being accomplished to embed patient data to medical images [55,60,61]. If the EPR and the images are separate, the chance of detachment of patient data from the image becomes higher.…”

Section: Advantages Of Digital Watermarkingmentioning

confidence: 99%

“…The memory for storage can be saved to a certain extent in HIS by embedding the EPR in the image [61,65]. On the other hand, a huge amount of bandwidth is required for the transmission of the image data in teleradiology.…”

Section: Advantages Of Digital Watermarkingmentioning

confidence: 99%

“…Semi-fragile and fragile watermarks are being used to carry much information about itself, its owner's metadata, its distribution, etc., and are thus used for annotation (e.g., hiding ETR or EPR, etc.) [15,55,57,61,65,87] and integrity control (e.g., tamper detection and recovery) [8,59,[88][89][90].…”

Section: Choice Of Design and Evaluation Parametersmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Medical Image Watermarking Requirements for Teleradiology

2012

View full text Add to dashboard Cite

Teleradiology allows medical images to be transmitted over electronic networks for clinical interpretation and for improved healthcare access, delivery, and standards. Although such remote transmission of the images is raising various new and complex legal and ethical issues, including image retention and fraud, privacy, malpractice liability, etc., considerations of the security measures used in teleradiology remain unchanged. Addressing this problem naturally warrants investigations on the security measures for their relative functional limitations and for the scope of considering them further. In this paper, starting with various security and privacy standards, the security requirements of medical images as well as expected threats in teleradiology are reviewed. This will make it possible to determine the limitations of the conventional measures used against the expected threats. Furthermore, we thoroughly study the utilization of digital watermarking for teleradiology. Following the key attributes and roles of various watermarking parameters, justification for watermarking over conventional security measures is made in terms of their various objectives, properties, and requirements. We also outline the main objectives of medical image watermarking for teleradiology and provide recommendations on suitable watermarking techniques and their characterization. Finally, concluding remarks and directions for future research are presented.

show abstract

Section: Advantages Of Digital Watermarkingmentioning

confidence: 99%

Section: Advantages Of Digital Watermarkingmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Medical Image Watermarking Requirements for Teleradiology

2012

View full text Add to dashboard Cite

show abstract

“…Moreover, storing different information of a patient in separate files increases the risk of mismatching and diagnostic mistakes. Unauthorized in medical images saves memory of the hospital information system (HIS), enhances confidentiality of the patient data, avoid detachment of the EPR data from the image and saves bandwidth for transmission [1][2][3]12]. An extensive literature review in [12] shows multiple watermarking of medical images aims to provide a unified approach to different healthcare applications and is quite a creative concept.…”

Section: Introductionmentioning

confidence: 99%

A contextual based double watermarking of PET images by patient ID and ECG signal

Nambakhsh

Ahmadian

Zaidi

2011

Computer Methods and Programs in Biomedicine

View full text Add to dashboard Cite

Abstractc o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 0 4 ( 2 0 1 1 ) [418][419][420][421][422][423][424][425] j o u r n a l h o m e p a g e : w w w . i n t l . e l s e v i e r h e a l t h . c o m / j o u r n a l s / c m p b A contextual based double watermarking of PET images by patient ID and ECG signal a b s t r a c tThis paper presents a novel digital watermarking framework using electrocardiograph (ECG) and demographic text data as double watermarks. It protects patient medical information and prevents mismatching diagnostic information. The watermarks are embedded in selected texture regions of a PET image using multi-resolution wavelet decomposition.Experimental results show that modifications in these locations are visually imperceptible. The robustness of the watermarks is verified through measurement of peak signal to noise ratio (PSNR), cross-correlation (CC%), structural similarity measure (SSIM) and universal image quality index (UIQI). Their robustness is also computed using pixel-based metrics and human visual system metrics. Additionally, beta factor (ˇ) as an edge preservation measure is used for degradation evaluation of the image boundaries throughout the watermarked PET image. Assessment of the extracted watermarks shows watermarking robustness to common attacks such as embedded zero-tree wavelet (EZW) compression and median filtering.© 2010 Elsevier Ireland Ltd. All rights reserved. IntroductionThe huge amounts of acquired digital medical images in hospitals are usually stored in a database along with the demographic text data and the bio-signals of patients. Unauthorized tampering, mismatching and mishandling of information are problems with such data in large databases. Additionally, exchange of bio-signals, demographic texts and medical images between hospitals needs efficient and reliable transmission and storage techniques. Moreover, storing different information of a patient in separate files increases the risk of mismatching and diagnostic mistakes. Unauthorized * Corresponding author. viewing of patients' healthcare information is one of the main concerns in hospital information systems. Recently, watermarking has been an active area of research for strengthening healthcare information security. Generally, watermarking algorithms have been aimed to protect digital images by hiding information into them. The main advantage of watermarking is information invisibility and anonymity. Authentication is considered a genuine application for them. A large number of watermarking techniques for medical images are available in literature which almost most of them focus on two areas, namely, tamper detection and authentication, and electronic patient record (EPR) embedding in medical images. Significantly, embedding of EPR or metadata 0169-2607/$ -see front matter

show abstract

“…Medical image data hiding is the process of hiding a set of patient data into a diagnosis image imperceptibly such that it does not perceptually distort the image and such that the hidden data can be accurately recovered at the receiver end. In EPR data hiding both the hidden data and cover medium need to be recovered without error [1].…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for EPR Hiding in Medical Images for Telemedicine

Navas¹,

Thampy²,

Sasikumar³

IFMBE Proceedings

View full text Add to dashboard Cite

-Medical image data hiding has strict constrains such as high imperceptibility, high capacity and high robustness. Achieving these three requirements simultaneously is difficult. Though some works are reported in the literature on data hiding, watermarking and steganography which are suitable for telemedicine applications, none performs better in all aspects. Electronic Patient Report (EPR) data hiding for telemedicine demands a blind and reversible method. This paper proposes a novel approach to blind reversible data hiding based on integer wavelet transform. Experimental results shows that this scheme outperforms the prior arts in terms of zero BER (Bit Error Rate), higher PSNR (Peak Signal to Noise Ratio), and large EPR data embedding capacity with WPSNR (Weighted Peak Signal to Noise Ratio) around 53 dB, compared with the existing reversible data hiding schemes.

show abstract

The integration of medical images with the electronic patient record and their web-based distribution1

Cited by 29 publications

References 5 publications

A Review of Medical Image Watermarking Requirements for Teleradiology

A Review of Medical Image Watermarking Requirements for Teleradiology

A contextual based double watermarking of PET images by patient ID and ECG signal

A Novel Technique for EPR Hiding in Medical Images for Telemedicine

Contact Info

Product

Resources

About