Abstract/Description
Medical image is usually comprised of region of interest (ROI) and region of non interest (RONI). ROI is the region that contains the important information from diagnosis point of view so it must be stored without any distortion. We have proposed a digital watermarking technique which avoids the distortion of image in ROI by embedding the watermark information in RONI. The watermark is comprised of patient information, hospital logo and message authentication code, computed using hash function. Earlier BCH encryption of watermark is performed to ensure inaccessibility of embedded data to the adversaries.
Keywords
BCH Encryption, Data authentication, Electronic Patient Record, Mecdical Images, Spatial domain watermarking
Session Theme
Artificial Intelligence – II:
Session Type
Other
Session Chair
Dr. Sharifullah Khan
Start Date
16-8-2009 1:00 PM
End Date
16-8-2009 1:20 PM
Recommended Citation
Memon, N. A., Gilani, S., & Ali, A. (2009). Artificial Intelligence – II: Watermarking of chest CT scan medical images for content authentication. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2009/2009/27
Artificial Intelligence – II: Watermarking of chest CT scan medical images for content authentication
Medical image is usually comprised of region of interest (ROI) and region of non interest (RONI). ROI is the region that contains the important information from diagnosis point of view so it must be stored without any distortion. We have proposed a digital watermarking technique which avoids the distortion of image in ROI by embedding the watermark information in RONI. The watermark is comprised of patient information, hospital logo and message authentication code, computed using hash function. Earlier BCH encryption of watermark is performed to ensure inaccessibility of embedded data to the adversaries.
