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Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases.
Int J Med Inform. 2017 12; 108:110-124.IJ

Abstract

BACKGROUND AND OBJECTIVES

The authentication and integrity verification of medical images is a critical and growing issue for patients in e-health services. Accurate identification of medical images and patient verification is an essential requirement to prevent error in medical diagnosis. The proposed work presents an imperceptible watermarking system to address the security issue of medical fundus images for tele-ophthalmology applications and computer aided automated diagnosis of retinal diseases.

METHODS

In the proposed work, patient identity is embedded in fundus image in singular value decomposition domain with adaptive quantization parameter to maintain perceptual transparency for variety of fundus images like healthy fundus or disease affected image. In the proposed method insertion of watermark in fundus image does not affect the automatic image processing diagnosis of retinal objects & pathologies which ensure uncompromised computer-based diagnosis associated with fundus image. Patient ID is correctly recovered from watermarked fundus image for integrity verification of fundus image at the diagnosis centre.

RESULTS

The proposed watermarking system is tested in a comprehensive database of fundus images and results are convincing.

EXPERIMENTAL

results indicate that proposed watermarking method is imperceptible and it does not affect computer vision based automated diagnosis of retinal diseases.

CONCLUSIONS

Correct recovery of patient ID from watermarked fundus image makes the proposed watermarking system applicable for authentication of fundus images for computer aided diagnosis and Tele-ophthalmology applications.

Authors+Show Affiliations

Department of Electronics & Communication Engineering, Amity University, Noida, India. Electronic address: anushikha4june@gmail.com.Department of Electronics & Communication Engineering, Amity University, Noida, India. Electronic address: malaykishoredutta@gmail.com.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

29132616

Citation

Singh, Anushikha, and Malay Kishore Dutta. "Imperceptible Watermarking for Security of Fundus Images in Tele-ophthalmology Applications and Computer-aided Diagnosis of Retina Diseases." International Journal of Medical Informatics, vol. 108, 2017, pp. 110-124.
Singh A, Dutta MK. Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases. Int J Med Inform. 2017;108:110-124.
Singh, A., & Dutta, M. K. (2017). Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases. International Journal of Medical Informatics, 108, 110-124. https://doi.org/10.1016/j.ijmedinf.2017.10.010
Singh A, Dutta MK. Imperceptible Watermarking for Security of Fundus Images in Tele-ophthalmology Applications and Computer-aided Diagnosis of Retina Diseases. Int J Med Inform. 2017;108:110-124. PubMed PMID: 29132616.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases. AU - Singh,Anushikha, AU - Dutta,Malay Kishore, Y1 - 2017/10/16/ PY - 2017/04/15/received PY - 2017/10/12/revised PY - 2017/10/13/accepted PY - 2017/11/15/entrez PY - 2017/11/15/pubmed PY - 2018/6/27/medline KW - Fundus image KW - Image processing KW - Imperceptible Watermarking KW - Patient ID KW - Retinal diseases KW - Tele-ophthalmology Applications SP - 110 EP - 124 JF - International journal of medical informatics JO - Int J Med Inform VL - 108 N2 - BACKGROUND AND OBJECTIVES: The authentication and integrity verification of medical images is a critical and growing issue for patients in e-health services. Accurate identification of medical images and patient verification is an essential requirement to prevent error in medical diagnosis. The proposed work presents an imperceptible watermarking system to address the security issue of medical fundus images for tele-ophthalmology applications and computer aided automated diagnosis of retinal diseases. METHODS: In the proposed work, patient identity is embedded in fundus image in singular value decomposition domain with adaptive quantization parameter to maintain perceptual transparency for variety of fundus images like healthy fundus or disease affected image. In the proposed method insertion of watermark in fundus image does not affect the automatic image processing diagnosis of retinal objects & pathologies which ensure uncompromised computer-based diagnosis associated with fundus image. Patient ID is correctly recovered from watermarked fundus image for integrity verification of fundus image at the diagnosis centre. RESULTS: The proposed watermarking system is tested in a comprehensive database of fundus images and results are convincing. EXPERIMENTAL: results indicate that proposed watermarking method is imperceptible and it does not affect computer vision based automated diagnosis of retinal diseases. CONCLUSIONS: Correct recovery of patient ID from watermarked fundus image makes the proposed watermarking system applicable for authentication of fundus images for computer aided diagnosis and Tele-ophthalmology applications. SN - 1872-8243 UR - https://www.unboundmedicine.com/medline/citation/29132616/Imperceptible_watermarking_for_security_of_fundus_images_in_tele_ophthalmology_applications_and_computer_aided_diagnosis_of_retina_diseases_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1386-5056(17)30371-4 DB - PRIME DP - Unbound Medicine ER -