NDLI: An improved ring artifact removal approach for flat-panel detector based computed tomography images

Content Provider	IEEE Xplore Digital Library
Author	Dong Zeng Jianhua Ma Yunwan Zhang Zhaoying Bian Jing Huang Wufan Chen
Copyright Year	2013
Description	Author affiliation: Sch. of Biomed. Eng., Southern Med. Univ., Guangzhou, China (Dong Zeng; Jianhua Ma; Yunwan Zhang; Zhaoying Bian; Jing Huang; Wufan Chen)
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.
Starting Page	1
Ending Page	4
File Size	752768
Page Count	4
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computed tomography Detectors Phantoms Image reconstruction X-ray imaging Physics
Content Type	Text
Resource Type	Article

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