Open AccessRemoving ring artefacts in CT images via unidirectional relative variation model
Author(s) -
Huo Qirun,
Li Jianwu,
Lu Yao
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2016.2692
Subject(s) - artificial intelligence , computer vision , pixel , detector , noise reduction , variation (astronomy) , computer science , polar coordinate system , total variation denoising , image quality , ring (chemistry) , image (mathematics) , pattern recognition (psychology) , mathematics , geometry , physics , telecommunications , astrophysics , chemistry , organic chemistry
CT images often have some ring artefacts caused by the inconsistent response of detector pixels and other factors. Removing ring artefacts effectively without impairing the image quality is still a hard problem although some methods have been proposed. Given that total variation minimisation is widely used for image denoising, a unidirectional relative variation model is proposed and performs it on the reconstructed images transformed into polar coordinates to reduce the artefacts. The proposed method is tested on both simulated data and real CT images, and the qualitative and quantitative results show that it is effective.