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Edge enhancement algorithm for low-dose X-ray fluoroscopic imaging.

Min Seok Lee1, Chul Hee Park1, Moon Gi Kang1

  • 1School of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, South Korea.

Computer Methods and Programs in Biomedicine
|October 22, 2017
PubMed
Summary

This study introduces a new 2D edge enhancement algorithm for low-dose X-ray fluoroscopy. The method improves image sharpness while effectively reducing noise and artifacts, outperforming conventional techniques.

Keywords:
Artifacts and noise reductionEdge enhancementImage sharpeningLow-dose x-ray fluoroscopy

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiology

Background:

  • Low-dose X-ray fluoroscopy reduces patient radiation risk but degrades image quality.
  • Conventional pre-processors and high-pass filtering amplify noise and create artifacts.
  • Existing methods struggle with edge blurring and noise amplification in X-ray images.

Purpose of the Study:

  • To develop a 2D edge enhancement algorithm for degraded low-dose X-ray fluoroscopic images.
  • To improve image sharpness while reducing noise and artifacts.
  • To overcome limitations of current edge enhancement techniques.

Main Methods:

  • Developed a 2D edge enhancement algorithm combining region adaptive high-pass filtering (HPF) with transient improvement (TI).
  • Integrated an artifacts and noise reduction (ANR) filter using an edge directional kernel.
  • Applied the algorithm to static scenes from low-dose X-ray fluoroscopy devices.

Main Results:

  • The proposed method successfully sharpened X-ray images without overshoot.
  • The ANR filter effectively removed artifacts and noise while preserving edge details.
  • Quantitative and qualitative evaluations showed superior performance compared to conventional methods.

Conclusions:

  • The developed edge enhancement algorithm significantly improves sharpness in low-dose X-ray fluoroscopic images.
  • The algorithm effectively reduces artifacts and noise, including overshoot.
  • The method offers enhanced visual perception and objective quality for clinical applications.