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Adaptive patch-based ring artifacts removal for photon-counting CT.

Xiangyuan Liu, Shusen Zhao, Dimeng Xia

|January 29, 2025

Summary

This summary is machine-generated.

Photon-counting CT (PCCT) offers better contrast but suffers from ring artifacts. This study introduces a novel multi-domain filtering method to efficiently correct these artifacts, improving image quality.

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Area of Science:

Medical Imaging
Image Processing
Photon-Counting Computed Tomography

Background:

Photon-counting computed tomography (PCCT) provides superior image contrast compared to traditional CT.
Imperfect photon-counting detectors in PCCT can lead to significant ring artifacts.
Existing artifact correction methods may not fully address PCCT-specific challenges.

Purpose of the Study:

To propose an efficient and effective ring artifact correction method for PCCT.
To leverage multi-domain analysis for identifying and correcting aberrant components.
To preserve image structures while removing artifacts.

Main Methods:

Utilized patch-based signed statistics in the frequency domain to detect aberrant sinogram patches.
Developed adaptive patch (AP) filtering and plausible patch filtering strategies for correction.
Implemented an adaptive stripe (AS) filter in the spatial domain to refine the corrected sinogram.

Main Results:

The proposed multi-domain approach successfully identified and corrected ring artifacts.
Experimental results demonstrated superior artifact removal compared to state-of-the-art methods.
The method effectively preserved important anatomical structures in the reconstructed images.

Conclusions:

The proposed efficient ring artifact correction approach is highly effective for PCCT.
Multi-domain analysis offers a robust strategy for addressing detector-induced artifacts.
This technique enhances the diagnostic quality of PCCT images.