Removing ring artefacts in CT images via unidirectional relative variation model

被引:10
作者
Huo, Qirun [1 ,2 ]
Li, Jianwu [1 ]
Lu, Yao [1 ]
机构
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing Key Lab Intelligent Informat Technol, Beijing 100081, Peoples R China
[2] Capital Normal Univ, Coll Informat Engn, Beijing 100048, Peoples R China
基金
中国国家自然科学基金;
关键词
computerised tomography; image reconstruction; image denoising; medical image processing; ring artefact removal; CT images; unidirectional relative variation model; detector pixels; image quality; total variation minimisation; polar coordinates;
D O I
10.1049/el.2016.2692
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1838 / 1839
页数:2
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