Secure and Authenticate Indexing of Medical Images Using Region of Non-Interest

Authors

  • I. Jasmine Selvakumari Jeya Department of Information Technology, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
  • S. Lokesh Department of Computer Science and Engineering, Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India.
  • M. Ramya Devi Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India.

DOI:

https://doi.org/10.9734/bpi/rdmmr/v6/12785D

Keywords:

Authentication, medical image, region of interest (roi), region of non-interest (roni), visible watermarking

Abstract

Medical images produced from different modalities are stored in image database. These databases should be safely moved over the public network with control viably and Medical images need to be transmitted with the patient's information without altering the image data. Medical image watermarking is a proper strategy utilized for improving security. Furthermore, validation of medical data, which is pivotal and utilized for additional deduction what's more, reference. The task centres on the investigation of medical image watermarking techniques for securing and validating medical data. Moreover, it covers calculation for utilization of water stamping procedure on. The objective of this chapter is to discuss Secured Indexing of Lung CT Image (SILI) which is a secured way of indexing the lung CT images with the patient information. Authentication is provided using the sender's logo information and the secret key is used for embedding the watermark into the host image. Watermark is embedded into the Region of Noninterest (RONI) of the lung CT image. RONI is identified by segmenting the lung tissue from the CT scan image.

Published

2021-10-28

How to Cite

I. Jasmine Selvakumari Jeya, S. Lokesh, & M. Ramya Devi. (2021). Secure and Authenticate Indexing of Medical Images Using Region of Non-Interest . Recent Developments in Medicine and Medical Research Vol. 6, 47–56. https://doi.org/10.9734/bpi/rdmmr/v6/12785D