Title: Region-based medical image encryption for patient privacy

Authors: Subhadip Rana; Arghya Pathak; Hrishikesh Mondal; Mrinal Kanti Mandal

Addresses: Department of Physics, National Institute of Technology, Durgapur, 713209, India ' Department of Physics, National Institute of Technology, Durgapur, 713209, India ' Department of Physics, Durgapur Government College, Durgapur, 713214, India ' Department of Physics, National Institute of Technology, Durgapur, 713209, India

Abstract: In this paper, a region-based medical image encryption using chaos is presented. The medical image is first segmented into two distinct parts: the region of interest (ROI), which contains nearly all significant information, and the non-ROI, which carries minimal information. The encryption process for the ROI demands high quality without any loss, in stark contrast to the non-ROI segment. To optimise the encryption process, reduce time, and minimise required memory during transmission, a JPEG 2000 lossy mechanism is employed to compress the non-ROI segment. Subsequently, the entire information from both the ROI and the compressed non-ROI is subjected to encryption using a 4D hyper-chaotic system. The proposed cryptosystem's robustness is evaluated through an analysis of various test parameters, such as information Entropy, PSNR, NPCR, UACI, histogram analysis, etc.

Keywords: medical image encryption; ROI; region of interest; JPEG 2000; 4D hyperchaotic system.

DOI: 10.1504/IJSISE.2025.150011

International Journal of Signal and Imaging Systems Engineering, 2025 Vol.14 No.1, pp.20 - 28

Received: 18 Mar 2024
Accepted: 10 Jun 2024
Published online: 21 Nov 2025 *

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