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A level set method for cupping artifact correction in cone-beam CT.

Shipeng Xie1, Chunming Li2, Haibo Li1

  • 1College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China.

Medical Physics
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Summary

A novel level set method effectively reduces cupping artifacts in cone-beam computed tomography (CBCT) by 90%, enhancing image quality without extra equipment.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Computational Science

Background:

  • Cone-beam computed tomography (CBCT) is susceptible to cupping artifacts.
  • These artifacts degrade image quality and affect diagnostic accuracy.
  • Improving image reconstruction in CBCT is crucial for clinical applications.

Purpose of the Study:

  • To develop and validate a novel method for reducing cupping artifacts in CBCT images.
  • To enhance the contrast-to-noise ratio (CNR) in reconstructed CBCT images.
  • To provide an effective and practical solution for cupping artifact correction.

Main Methods:

  • A level set method is proposed for cupping artifact reduction.
  • The method utilizes a local intensity clustering property of CBCT images.
  • Energy minimization of a derived criterion function estimates and removes artifacts.

Main Results:

  • The level set-based algorithm achieved an average reduction of 90% in cupping artifacts.
  • The method effectively preserved the quality of the reconstructed CBCT images.
  • The algorithm demonstrated practicality and effectiveness in artifact reduction.

Conclusions:

  • The proposed method corrects cupping artifacts in the reconstructed image.
  • It requires no additional physical equipment and is easily implemented.
  • The technique provides cupping correction from a single-scan acquisition, demonstrating successful artifact reduction.