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Metal artifact suppression in terahertz computed tomography.

Tianyi Wang, Chensheng Wang, Zhenhua Wang

|November 14, 2024

Summary

Metal artifact suppression in terahertz computed tomography (CT) images is a challenge. This study introduces an 8-step sinogram restoration method to effectively reduce metal artifacts, improving image quality for terahertz CT applications.

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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.