Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation

详细信息    查看全文

• 关键词：CBCT image ; Ring artifacts ; Image smoothing ; Relative total variation
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9947
• 期：1
• 页码：501-509
• 全文大小：1,565 KB
• 参考文献：1.Schulze, R., Heil, U., Gross, D., Bruellmann, D.D., Dranischnikow, E., Schwanecke, U., Schoemer, E.: Artefacts in CBCT: a review. Dentomaxillofac. Radiol. 40(5), 265–273 (2011)CrossRef
  2.Hasan, M.K., Sadi, F., Lee, S.Y.: Removal of ring artifacts in Micro-CT imaging using iterative morphological filters. Signal Image Video Process. 6(1), 41–53 (2012)CrossRef
  3.Raven, C.: Numerical removal of ring artifacts in microtomography. Rev. Sci. Instrum. 69(8), 2978–2980 (1998)CrossRef
  4.Boin, M., Haibel, A.: Compensation of ring artefacts in synchrotron tomographic images. Opt. Express 14(25), 12071–12075 (2006)CrossRef
  5.Münch, B., Trtik, P., Marone, F., Stampanoni, M.: Stripe and ring artifact removal with combined waveletfourier filtering. Opt. Express 17(10), 8567–8591 (2009)CrossRef
  6.Zeng, D., Ma, J., Zhang, Y., Bian, Z., Huang, J., Chen, W.: An Improved ring artifact removal approach for flat-panel detector based computed tomography images. In: Nuclear Science Symposium and Medical Imaging Conference, pp. 1–4. IEEE (2013)
  7.Kim, Y., Baek, J., Hwang, D.: Ring artifact correction using detector line-ratios in computed tomography. Opt. Express 22(11), 13380–13392 (2014)CrossRef
  8.Sijbers, J., Postnov, A.: Reduction of ring artefacts in high resolution Micro-CT reconstructions. Phys. Med. Biol. 49(14), N247 (2004)CrossRef
  9.Brun, F., Kourousias, G., Dreossi, D., Mancini, L.: An improved method for ring artifacts removing in reconstructed tomographic images. In: Dössel, O., Schlegel, W.C. (eds.) World Congress on Medical Physics and Biomedical Engineering, September 7–12, 2009, Munich, Germany. IFMBE Proceedings, vol. 25/4, pp. 926–929. Springer, Munich (2009)CrossRef
  10.Chen, Y.W., Duan, G.: Independent component analysis based ring artifact reduction in cone-beam CT images. In: 16th IEEE International Conference on Image Processing, pp. 4189–4192. IEEE Press, Cairo (2009)
  11.Wei, Z., Wiebe, S., Chapman, D.: Ring artifacts removal from synchrotron CT image slices. J. Instrum. 8(06), C06006 (2013)
  12.Kak, A.C., Slaney, M.: Principles of Computerized Tomographic Imaging. Society for Industrial and Applied Mathematics, Philadelphia (2001)CrossRef MATH
  13.Xu, L., Yan, Q., Xia, Y., Jia, J.: Structure extraction from texture via relative total variation. ACM Trans. Graph. (TOG) 31(6), 139 (2012)
  14.Anas, E.M.A., Lee, S.Y., Hasan, M.K.: Removal of ring artifacts in CT imaging through detection and correction of stripes in the sinogram. Phys. Med. Biol. 55(22), 6911 (2010)CrossRef
  15.Gribbon, K.T., Bailey, D.G.: A novel approach to real-time bilinear interpolation. In: Proceedings of Second IEEE International Workshop on Electronic Design, Test and Applications, DELTA 2004, pp. 126–131. IEEE (2004)
  
• 作者单位：Qirun Huo (19) (20)
  Jianwu Li (19)
  Yao Lu (19)
  Ziye Yan (19) (21)
  
  19. Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China
  20. College of Information Engineering, Capital Normal University, Beijing, 100048, China
  21. China Resource Wandong Medical Equipment Co., Ltd., Beijing, 100015, China
  
• 丛书名：Neural Information Processing
• ISBN：978-3-319-46687-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9947

文摘

Removing ring artifacts in Cone Beam Computed Tomography (CBCT) images without impairing the image quality is critical for the application of CBCT. In this paper, we propose a novel method for the removal of ring artifacts in CBCT Images using an image smoothing based on relative total variation (RTV). After transforming the CBCT image into polar coordinates, we introduce a single-direction smoothing to separate the small scale textures, which include the artifacts, from the image structures. Then the artifact template is generated by median value extraction. Finally, the artifact template is transformed back into Cartesian coordinates and is subtracted from the original CBCT image. Experiments on different CBCT images show that the proposed method can obtain satisfactory results.