[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()

基于正弦图融合的金属伪影校正方法

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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

基于正弦图融合的金属伪影校正方法

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

李元金¹;  2;  3;  舒华忠¹;  肖刚²;  王涛²;  孔佑勇¹;  王杨²;  史小勇²

¹东南大学影像科学与技术实验室, 南京 210096; ²滁州学院计算机与信息工程学院, 滁州 239000; ³东南大学计算机网络和信息集成教育部重点实验室, 南京 210096

Keywords:

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

金属伪影;  基于插值校正方法;  正弦图融合;  CT图像

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.

针对金属伪影严重降低了CT图像中组织结构清晰度的问题, 提出了基于正弦图融合的金属伪影校正方法.首先, 通过预先设置的阈值对原始CT图像进行分割, 得到金属图像.对原始CT图像和金属图像进行投影生成原始投影正弦图和金属投影正弦图.使用插值校正方法校正含有金属伪影的CT图像和均值滤波维持校正后CT图像的边界.滤波之后图像被投影成滤波图像正弦图.根据金属图像正弦图在原始正弦图和滤波后图像对应正弦图中的位置, 分别得到正弦图P^D_M(在原始正弦图中)和P^C_M(在滤波后图像对应正弦图中).然后, 按照一定的比例, 将P^D_M和P^C_M融合成正弦图P^F_M, 并通过融合正弦图P^F_M, P^O和P^D_M得到最终正弦图.最后, 用滤波反投影重建算法将最终正弦图重建成校正之后的图像, 并将金属信息补偿到校正图像上.临床图像上的实验表明:与经典金属伪影校正方法相比, 所提出的基于正弦图融合方法在金属伪影去除和组织结构特征保存方面能够得到更好的效果.

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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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