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Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional e-cos-cot Map.

Xin Meng1,2, Jinqing Li1,2, Xiaoqiang Di1,2,3

  • 1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.

Entropy (Basel, Switzerland)
|July 27, 2022
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Summary
This summary is machine-generated.

This study introduces a new chaotic system for region of interest (ROI) encryption of medical images. The proposed method enhances image security and encryption efficiency using a novel chaotic algorithm and DICOM data.

Keywords:
1D eλ-cos-cot mapchaotic performancemedical image encryptionregion of interestselective image encryption

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Area of Science:

  • Computer Science
  • Cryptography
  • Medical Imaging

Background:

  • The increasing use of the internet necessitates enhanced image security.
  • Traditional encryption methods may lack efficiency for complex medical images.

Purpose of the Study:

  • To propose a novel region of interest (ROI) encryption algorithm for medical images.
  • To improve both the security and efficiency of medical image encryption.

Main Methods:

  • A new 1D eλ-cos-cot (1D-ECC) chaotic system was developed for superior chaotic performance.
  • A plaintext-related keystream was generated using DICOM file label information.
  • Medical images were segmented using an adaptive threshold, with the ROI undergoing encryption.
  • Encryption involved a two-stage process: scrambling (helical scanning and index scrambling) and two-dimensional bi-directional diffusion.

Main Results:

  • The proposed 1D-ECC chaotic system demonstrated better performance than traditional systems.
  • The algorithm achieved effective encryption of the region of interest in medical images.
  • Simulation results and security analysis indicated good encryption speed and security performance.

Conclusions:

  • The novel ROI encryption algorithm effectively enhances medical image security.
  • The proposed method offers a promising solution for efficient and secure medical image encryption.