@inproceedings{6528039c435b45e8af777495bb5646eb,
title = "An improved ring artifact removal approach for flat-panel detector based computed tomography images",
abstract = "Ring artifacts often appear in flat-panel detector based CT images due to the malfunction and mis-calibration of detector elements resulting in stripe artifacts in the sinogram data. In this paper, we propose an improved ring artifacts removal (IRAR) approach by combining multi-resolution analysis and weighted moving average filter methods. Specifically, the multi-resolution analysis method can suppress these high-intensity vertical stripes in the sinogram domain and the moving average filter method is effective to deal with the relatively high-intensity vertical stripes. Experimental results on the data acquired from a commercial micro-CT scanner show that the presented approach can achieve significant gains over the existing methods in the ring artifacts removal while preserving spatial resolution.",
author = "Dong Zeng and Jianhua Ma and Yunwan Zhang and Zhaoying Bian and Jing Huang and Wufan Chen",
year = "2013",
doi = "10.1109/NSSMIC.2013.6829124",
language = "英语",
isbn = "9781479905348",
series = "IEEE Nuclear Science Symposium Conference Record",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013",
note = "2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 ; Conference date: 27-10-2013 Through 02-11-2013",
}