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Related Experiment Video

Updated: May 30, 2026

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Comparison of ring artifact removal methods using flat panel detector based CT images.

Emran M Abu Anas¹, Jae G Kim, Soo Y Lee

¹Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Bangladesh.

Biomedical Engineering Online

|August 18, 2011

Summary

This study compares ring artifact reduction techniques in CT imaging, finding no single method fully effective. Combining sinogram and post-processing approaches may improve diagnostic quality for slice images.

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Area of Science:

Medical Imaging
Computed Tomography (CT) Artifacts
Image Processing

Background:

Ring artifacts in CT images stem from detector issues or differing X-ray attenuation.
Existing reduction techniques are categorized as sinogram (pre-processing) or reconstructed image (post-processing).
A comprehensive comparison of these approaches is needed to evaluate their strengths and weaknesses.

Purpose of the Study:

To conduct a comparative analysis of sinogram and post-processing ring artifact reduction techniques for multi-slice CT.
To evaluate the performance of selected algorithms using quantitative and perceptual measures.
To assess the effectiveness of these methods on various artifact types and cone beam CT volume images.

Main Methods:

Selected two representative algorithms from sinogram and post-processing categories for comparison.
Included a state-of-the-art sinogram method using class-adaptive correction schemes.
Tested algorithms using quantitative indices and perceptual analysis on diverse artifact patterns and cone beam CT data.

Main Results:

Evaluated five algorithms using quantitative and perceptual metrics across various artifact types and imaging conditions.
Assessed the ability of each technique to preserve image information, such as small objects.
Compared the efficacy of algorithms for correcting cone beam CT volume images.

Conclusions:

No single algorithm effectively corrects all ring artifact types without introducing distortions.
Combining sinogram and post-processing techniques may yield diagnostic quality for slice images.
Current methods are unsuitable for correcting volume images from cone beam CT systems.