Computed tomography ring artifact correction method with super-pixel segmentation and adaptive relative total variation.

ABSTRACT:

Background

Ring artifacts are a common and persistent issue in computed tomography (CT) imaging, arising from detector calibration errors, gain variations, and other hardware inconsistencies, and their presence can significantly compromise the diagnostic accuracy and clinical utility of CT scans. This study aimed to propose a comprehensive approach for removing the ring artifacts in CT images, with a particular focus on the challenges posed by the cutting-edge photon counting CT (PCCT) technology.

Methods

This method skillfully combines super-pixel segmentation with an adaptive form of Relative Total Variation, resulting in a robust, two-stage process for artifact correction. In the first stage, high-intensity ring artifacts are efficiently addressed using super-pixel segmen

SUBMITTER: Li N 

PROVIDER: S-EPMC11994535 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature