NDLI: Weighted Total Variation constrained reconstruction for reduction of metal artifact in CT

Content Provider	IEEE Xplore Digital Library
Author	Yanbo Zhang Xuanqin Mou Hao Yan
Copyright Year	2010
Description	Author affiliation: Institute of Image Processing & Pattern Recognition, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China (Yanbo Zhang; Xuanqin Mou; Hao Yan)
Abstract	TV constrained reconstruction could obtain perfect results from incomplete data, and has been applied to reduce metal artifact by assuming that the projection contaminated by metal is missing. In TV constrained reconstruction, the selection of a proper step parameter for TV minimization procedure is a key point. However, this parameter is usually selected empirically, and it is a constant for all pixels in the whole image domain, regardless of the difference of missing projection quantity at different pixels. By analyzing the relationship between the missing projections and pixels position, a Weighted Total Variation (WTV) constrained reconstruction method is proposed to reduce metal artifact in this paper. For WTV constrained method, the parameters are no longer the same, but vary over image domain as the introduced information miss rate. The simulation results show that the proposed method is more effective than current TV constraint to reduce metal artifact. Moreover, WTV constrained method is extended to other incomplete projection problems.
Starting Page	2630
Ending Page	2634
File Size	856818
Page Count	5
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Image reconstruction Metals Pixel Computed tomography X-ray imaging Noise
Content Type	Text
Resource Type	Article

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