[1] Li Yuanjin, , Shu Huazhong, et al. Sinogram fusion-based metal artifact correction method [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 145-149. [doi:10.3969/j.issn.1003-7985.2017.02.004]

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Sinogram fusion-based metal artifact correction method()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 2

Page:

145-149

Research Field:

Computer Science and Engineering

Publishing date:

2017-06-30

Info

Title:

Sinogram fusion-based metal artifact correction method

Author(s):

Li Yuanjin¹;  2;  3;  Shu Huazhong¹;  Xiao Gang²;  Wang Tao²Kong Youyong¹;  Wang Yang²;  Shi Xiaoyong²

¹Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China
²Department of Computer, Chuzhou University, Chuzhou 239000, China
³Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing 210096, China

Keywords:

metal artifacts;  interpolation-based method;  sinogram fusion-based;  computed tomography(CT)image

PACS:

TP391.41

DOI:

10.3969/j.issn.1003-7985.2017.02.004

Abstract:

To solve the problem that metal artifacts severely damage the clarity of the organization structure in computed tomography(CT)images, a sinogram fusion-based metal artifact correction method is proposed. First, the metal image is segmented from the original CT image by the pre-set threshold. The original CT image and metal image are forward projected into the original projection sinogram and metal projection sinogram, respectively. The interpolation-based correction method and mean filter are used to correct the original CT image and preserve the edge of the corrected CT image, respectively. The filtered CT image is forward projected into the filtered image sinogram.According to the position of the metal sinogram in the original sinogram and filtered image sinogram, the corresponding sinograms P^D_M(in the original sinogram)and P^C_M(in the filtered image sinogram)can be acquired from the original sinogram and filtered image sinogram, respectively. Then, P^D_M and P^C_M are fused into the fused metal sinogram P^F_M according to a certain proportion. The final sinogram can be acquired by fusing P^F_M, P^D_M and the original sinogram P^O. Finally, the final sinogram is reconstructed into the corrected CT image and metal information is compensated into the corrected CT image. Experiments on clinical images demonstrate that the proposed method can effectively reduce metal artifacts. A comparison with classical metal artifacts correction methods shows that the proposed metal artifacts correction method performs better in metal artifacts suppression and tissue feature preservation.

References:

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Memo

Memo:

Biographies: Li Yuanjin(1976—), male, doctor, associate professor; Shu Huazhong(corresponding author), male, doctor, professor, shu.list@seu.edu.cn.
Foundation items: Open Research Fund of the Key Laboratory of Computer Network and Information Integration of Ministry of Education of Southeast University(No.K93-9-2014-10C), the Scientific Research Foundation of Education Department of Anhui Province(No.KJ2014A186, SK2015A433), the National Basic Research Program of China(973 Program)(No.2010CB732503).
Citation: Li Yuanjin, Shu Huazhong, Xiao Gang, et al. Sinogram fusion-based metal artifact correction method[J].Journal of Southeast University(English Edition), 2017, 33(2):145-149.DOI:10.3969/j.issn.1003-7985.2017.02.004.

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