|Table of Contents|

[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]

Sinogram fusion-based metal artifact correction method()

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

2017 2
Research Field:
Computer Science and Engineering
Publishing date:


Sinogram fusion-based metal artifact correction method
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
metal artifacts interpolation-based method sinogram fusion-based computed tomography(CT)image
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 PDM(in the original sinogram)and PCM(in the filtered image sinogram)can be acquired from the original sinogram and filtered image sinogram, respectively. Then, PDM and PCM are fused into the fused metal sinogram PFM according to a certain proportion. The final sinogram can be acquired by fusing PFM, PDM and the original sinogram PO. 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.


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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.
Last Update: 2017-06-20