Metal artifact suppression in terahertz computed tomography

Area of Science:

• Medical Imaging
• Physics
• Engineering

Background:

• Metal artifacts pose a significant challenge in terahertz computed tomography (CT) imaging.
• Existing methods for metal artifact reduction in terahertz CT are limited, hindering technique development.

Purpose of the Study:

• To propose and evaluate a novel 8-step method for metal artifact suppression in terahertz CT images.
• To demonstrate the effectiveness of the proposed method through comparative analysis of images before and after artifact reduction.

Main Methods:

• The study developed an 8-step artifact suppression technique.
• The core of the method is based on sinogram restoration principles.
• The technique was applied to slice images of various metal objects.

Main Results:

• The proposed method successfully suppressed metal artifacts in terahertz CT images.
• Visual and quantitative comparisons confirmed the effectiveness of the artifact suppression.
• The processed images showed improved clarity and diagnostic potential.

Conclusions:

• The developed 8-step sinogram restoration method is effective for metal artifact suppression in terahertz CT.
• This technique offers a reliable approach for addressing a key bottleneck in terahertz CT development.
• The findings provide a valuable reference for future research in metal artifact reduction for terahertz imaging.