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Sparse-domain regularized stripe decomposition combined with guided-image filtering for ring artifact removal in propagation-based x-ray phase-contrast CT

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单位: [1]School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, People’s Republic of China [2]School of Science, Tianjin University of Technology and Education, Tianjin 300222, People’s Republic of China [3]Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People’s Republic of China [4]Beijing Key Laboratory of Translational Medicine in Liver Cirrhosis and National Clinical Research Center of Digestive Disease, Beijing 100050, People’s Republic of China [5]Tianjin Medical University School of Stomatology, Tianjin, 300070, People’s Republic of China
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关键词: propagation-based x-ray phase-contrast computer tomography ring artifacts stripe decomposition guided-image filtering

摘要:
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.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 工程:生物医学 3 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 工程:生物医学 3 区 核医学
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出版当年[2019]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q2 ENGINEERING, BIOMEDICAL
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q2 ENGINEERING, BIOMEDICAL

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, People’s Republic of China
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