GPU-Accelerated Dynamic Wavelet Thresholding Algorithm for X-Ray CT Metal Artifact Reduction

The computed tomography (CT) imaging technique has been used to diagnose widespread disease for many years; however, severe streaking artifacts have been observed to appear in the reconstructed images of examinate contains metal objects. In this paper, we propose a dynamic wavelet thresholding metal...

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Veröffentlicht in:	IEEE transactions on radiation and plasma medical sciences Jg. 2; H. 1; S. 17 - 26
Hauptverfasser:	Peng, Chengtao, Qiu, Bensheng, Li, Ming, Yang, Yang, Zhang, Cheng, Gong, Lun, Zheng, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Algorithms Computed tomography Computed tomography (CT) Datasets dynamic wavelet thresholding graphics processing unit (GPU) Graphics processing units Heuristic algorithms Image reconstruction Interpolation Iterative methods Medical imaging metal artifact reduction (MAR) Metals Quantitative analysis Reduction Reduction (metal working) statistic iterative reconstruction (SIR) Statistical analysis Two dimensional models Wavelet analysis X-ray imaging X-rays
ISSN:	2469-7311, 2469-7303
Online-Zugang:	Volltext
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