Sparse-domain regularized stripe decomposition combined with guided-image filtering for ring artifact removal in propagation-based x-ray phase-contrast CT. (14th May 2021)

• Record Type: Journal Article
• Authors: Li, Yimin; Zhao, Yuqing; Ji, Dongjiang; Lv, Wenjuan; Xin, Xiaohong; Zhao, Xinyan; Liu, Dayong; Ouyang, Zhaoguang; Hu, Chunhong
• Is Part Of: Physics in medicine & biology. Volume 66:Number 10(2021)
• Publication Date: 2021-05-14
• Subjects: propagation-based x-ray phase-contrast computer tomography -- ring artifacts -- stripe decomposition -- guided-image filtering; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/1361-6560/abf9de
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: Propagation-based x-ray phase-contrast computed tomography (PB-PCCT) images often suffer from severe ring artifacts. Ring artifacts are mainly caused by the nonuniform response of detector elements, and they can degrade image quality and affect the subsequent image processing and quantitative analyses. To remove ring artifacts in PB-PCCT images, a novel method combined sparse-domain regularized stripe decomposition (SDRSD) method with guided image filtering (GIF) was proposed. In this method, polar coordinate transformation was utilized to convert the ring artifacts to stripe artifacts. And then considering the directional and sparse properties of the stripe artifacts and the continuity characteristics of the sample, the SDRSD method was designed to remove stripe artifacts. However, for the SDRSD method, the presence of noise may destroy the edges of the stripe artifacts and lead to incomplete decomposition. Hence, a simple and efficient smoothing technique, namely GIF, was employed to overcome this issue. The simulations and real experiments demonstrated that the proposed method could effectively remove ring artifacts as well as preserve the structures and edges of the samples. In conclusion, the proposed method can serve as an effective tool to remove ring artifacts in PB-PCCT images, and it has high potential for promoting the biomedical and preclinical applications of PB-PCCT.