A Review of Medical Image Watermarking Requirements for Teleradiology

Nyeem, Hussain; Boles, Wageeh; Boyd, Colin

doi:10.1007/s10278-012-9527-x

Cited by 141 publications

(67 citation statements)

References 98 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Different similarity measures, such as Signal to Noise Ratio (SNR), Peak SNR (PSNR), Weighted PSNR (WPSNR), Mean Square Error (MSE), Structural Similarity Index Measure (SSIM), Mean SSIM (MSSIM), Bit Error Rate (BER), Correlation Quality (CQ); Normalized Cross Correlation (NCC), are recommended to estimate a quality of the watermarked images (Nyeem et al, 2013). Notice that in MIW applications, a perceptual similarity ought to be very high to avoid any risk of misdiagnosis.…”

Section: Resultsmentioning

confidence: 99%

Content Preserving Watermarking for Medical Images Using Shearlet Transform and SVD

Favorskaya

Savchina

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Medical Image Watermarking (MIW) is a special field of a watermarking due to the requirements of the Digital Imaging and COmmunications in Medicine (DICOM) standard since 1993. All 20 parts of the DICOM standard are revised periodically. The main idea of the MIW is to embed various types of information including the doctor's digital signature, fragile watermark, electronic patient record, and main watermark in a view of region of interest for the doctor into the host medical image. These four types of information are represented in different forms; some of them are encrypted according to the DICOM requirements. However, all types of information ought to be resulted into the generalized binary stream for embedding. The generalized binary stream may have a huge volume. Therefore, not all watermarking methods can be applied successfully. Recently, the digital shearlet transform had been introduced as a rigorous mathematical framework for the geometric representation of multi-dimensional data. Some modifications of the shearlet transform, particularly the non-subsampled shearlet transform, can be associated to a multi-resolution analysis that provides a fully shift-invariant, multi-scale, and multi-directional expansion. During experiments, a quality of the extracted watermarks under the JPEG compression and typical internet attacks was estimated using several metrics, including the peak signal to noise ratio, structural similarity index measure, and bit error rate.

show abstract

Section: Resultsmentioning

confidence: 99%

Content Preserving Watermarking for Medical Images Using Shearlet Transform and SVD

Favorskaya

Savchina

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…Teleradiology is a subset of telemedicine that allows medical images to be transmitted and accessed remotely over electronic networks for clinical interpretation and diagnosis [1]. This medical technology has the potential to revolutionize access to specialized health care services in remote clinics and hospitals if properly developed and all the security and confidentiality concerns associated with it adequately addressed through continuous and progressive research [2].…”

Section: Introductionmentioning

confidence: 99%

“…Also teleradiology systems are used in facilitating consultative and interpretative radiology services in areas of need making services of radiologists available in medical facilities without onsite radiologist's support. This means that highly confidential image data must be shared across computer networks among medical professionals, and researchers [1]. However, this can also expose such images to possible tampering or theft resulting to serious and costly ramifications when diagnosing ailments.…”

Section: Introductionmentioning

confidence: 99%

Improving Access to Radiology Health Care Services in Rural Areas of Developing Nations through a Secure Web Based Teleradiology Steganographic Method

2017

IJCSI

View full text Add to dashboard Cite

Access to specialized health care services in rural areas of developing nations and in particular sub Saharan Africa countries like Kenya is severely limited due to shortage of experts available in the medical field particularly in special domains of practice like radiology which involves professional examination of medical images e.g. X-rays and Scans (CAT, MRI etc.) for clinical interpretation and diagnosis. These experts albeit in their minimal number are only found within metropolitan areas where wellequipped referral hospitals are located. Consequently, patients from rural areas who survive on meager incomes are forced to make high sacrifices in visiting distant referral hospitals in order to access radiology and other specialized medical services. While it is possible to make a patient's medical images available to a practicing radiologist online e.g. through open network systems inter connectivity and email attachments, these methods don't guarantee the security, confidentiality and tamper free reliability required for a medical information system infrastructure. The possibility of securely and covertly transmitting such medical images to a remote radiologist for clinical interpretation and diagnosis through an enhanced Least Significant Bit (LSB) digital image steganographic technique was the focus of this study. The proposed method was tested in an experimental research that involved a comparison in the carrier file's statistical properties from this technique and the traditional LSB steganographic technique of information hiding. The study revealed improvements in imperceptibility levels in the carrier files used in this technique besides ensuring that the original MI fidelity is preserved one hundred percent by embedding it in a primary random image signal carrier file. The technique recorded a Peak Signal to Noise Ratio(PSNR) of well above 50 decibels for each image used which is well above the 30 decibels recommended for a fairly imperceptible carrier file.

show abstract

“…Medical image data is very sensitive and needs bit to bit originality. Digital watermarking is one of data security techniques under development to provide better security to medical images in teleradiology [1].…”

Section: Introductionmentioning

confidence: 99%

“…Many watermarking methodologies have been developed to perform spatial domain watermarking. Some of the methodologies are reversible, irreversible; tamper detection and recovery; tamper localization and lossless recovery [1]. Most of the methodologies have been applied to medical images to maintain the originality of teleradiological images.…”

Section: Introductionmentioning

confidence: 99%

Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique

et al. 2015

View full text Add to dashboard Cite

In teleradiology, image contents may be altered due to noisy communication channels and hacker manipulation. Medical image data is very sensitive and can not tolerate any illegal change. Illegally changed image-based analysis could result in wrong medical decision. Digital watermarking technique can be used to authenticate images and detect as well as recover illegal changes made to teleradiology images. Watermarking of medical images with heavy payload watermarks causes image perceptual degradation. The image perceptual degradation directly affects medical diagnosis. To maintain the image perceptual and diagnostic qualities standard during watermarking, the watermark should be lossless compressed. This paper focuses on watermarking of ultrasound medical images with Lempel-Ziv-Welch (LZW) lossless-compressed watermarks. The watermark lossless compression reduces watermark payload without data loss. In this research work, watermark is the combination of defined region of interest (ROI) and image watermarking secret key. The performance of the LZW compression technique was compared with other conventional compression methods based on compression ratio. LZW was found better and used for watermark lossless compression in ultrasound medical images watermarking. Tabulated results show the watermark bits reduction, image watermarking with effective tamper detection and lossless recovery.

show abstract

A Review of Medical Image Watermarking Requirements for Teleradiology

Cited by 141 publications

References 98 publications

Content Preserving Watermarking for Medical Images Using Shearlet Transform and SVD

Content Preserving Watermarking for Medical Images Using Shearlet Transform and SVD

Improving Access to Radiology Health Care Services in Rural Areas of Developing Nations through a Secure Web Based Teleradiology Steganographic Method

Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique

Contact Info

Product

Resources

About