Selective Encryption using Segmentation Mask with Chaotic Henon Map for
  Multidimensional Medical Images
S Arut Prakash Aditya Ganesh Kumar Prabhu Shankar K. C. Lithicka Anandavel Aditya Lakshmi Narayanan
A user-centric design and resource optimization should be at the center of
any technology or innovation. The user-centric perspective gives the developer
the opportunity to develop with task-based optimization. The user in the
medical image field is a medical professional who analyzes the medical images
and gives their diagnosis results to the patient. This scheme, having the
medical professional user's perspective, innovates in the area of Medical Image
storage and security. The architecture is designed with three main segments,
namely: Segmentation, Storage, and Retrieval. This architecture was designed
owing to the fact that the number of retrieval operations done by medical
professionals was toweringly higher when compared to the storage operations
done for some handful number of times for a particular medical image. This
gives room for our innovation to segment out the medically indispensable part
of the medical image, encrypt it, and store it. By encrypting the vital parts
of the image using a strong encryption algorithm like the chaotic Henon map, we
are able to keep the security intact. Now retrieving the medical image demands
only the computationally less stressing decryption of the segmented region of
interest. The decryption of the segmented region of interest results in the
full recovery of the medical image which can be viewed on demand by the medical
professionals for various diagnosis purposes. In this scheme, we were able to
achieve a retrieval speed improvement of around 47% when compared to a full
image encryption of brain medical CT images.