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Improved total variation-based image reconstruction algorithm for linear scan cone-beam computed tomography

[+] Author Affiliations
Wei Yu

Chongqing University, ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing 400044, China

Chongqing University, College of Optoelectronic Engineering, Chongqing 400044, China

Li Zeng

Chongqing University, ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing 400044, China

Chongqing University, College of Mathematics and Statistics, Chongqing 401331, China

Baodong Liu

Wake Forest University Health Sciences, Division of Radiologic Sciences, Department of Radiology, Winston-Salem, North Carolina 27157

Wake Forest University Health Sciences, VT-WFU School of Biomedical Engineering and Sciences, Biomedical Imaging Division, Winston-Salem, North Carolina 27157

J. Electron. Imaging. 22(3), 033015 (Aug 19, 2013). doi:10.1117/1.JEI.22.3.033015
History: Received March 17, 2013; Revised July 8, 2013; Accepted July 12, 2013
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Abstract.  Linear scan cone-beam computed tomography (LSCBCT) is a technically simple computed tomography (CT) configuration and is powerful enough to inspect long objects. As one kind of limited-angle problem, the image reconstruction of LSCBCT is ill posed. However, the total variation minimization (TVM)-projection on convex sets (POCS) reconstruction algorithm, which is based on the TVM and POCS, has been proven effective for solving the limited-angle problem. While applying the TVM-POCS algorithm to the LSCBCT reconstruction, the reconstructed image is distorted near the edges of the object. To solve this problem, an improved iterative reconstruction algorithm was developed. The improved method integrated simultaneous algebraic reconstruction technique, TVM, and C-V model. The C-V model can detect objects whose boundaries are not necessarily defined by gradient. The developed algorithm can reduce artifacts by piecewise constant modification and get a more accurate image. Numerical simulations are presented to illustrate the effectiveness of the algorithm. Moreover, the developed algorithm can be applied to other x-ray CT reconstruction problems.

© 2013 SPIE and IS&T

Citation

Wei Yu ; Li Zeng and Baodong Liu
"Improved total variation-based image reconstruction algorithm for linear scan cone-beam computed tomography", J. Electron. Imaging. 22(3), 033015 (Aug 19, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033015


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