Integrated Method of Enhancing Image Quality for FPD-Based Cone-Beam Computed Tomography

Article Preview

Abstract:

The main factors of impacting Cone-Beam Computed Tomography (CBCT) image quality and their causes were studied, and an integrated method of enhancing CBCT image quality was proposed according to the Digital Radiography (DR) imaging model. First, the original polychromatic X-ray was filtered into quasi-monochromatic X-ray by the filter plate of copper-tungsten alloy, in order to improve the quality of the original projection images. Then, the integrated artifact corrections for projection images were processed on the order of dark field correction, gain non-uniformity correction, scatter correction and beam hardening correction, to avoid the one-sidedness of only correcting a certain kind of artifact. Experimental results show that the method can almost eliminate the main artifacts of CBCT system and improve image clarity and signal to noise ratio.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

1277-1282

Citation:

Online since:

April 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S.J. Tu, C.C. Shaw and L.Y. Chen: Phys. Med. Biol. Vol. 51 (2006), pp.1283-1297.

Google Scholar

[2] J. Hsieh: Computed Tomography-Principles, Artifacts, and Recent Advances (SPIE Press, Bellingham 2003).

Google Scholar

[3] K.D. Huang, D.H. Zhang, M.J. Li and K.Y. Wang: Proceedings of IEEE International Workshop on Imaging Systems and Techniques (2009), pp.100-104.

Google Scholar

[4] G. Zentai: Proceedings of IEEE International Workshop on Imaging Systems and Techniques (2009), pp.223-228.

Google Scholar

[5] D.H. Zhang, R. Ning, K. Bu and H.P. Mao: Chinese Journal of Scientific Instrument Vol. 26 (2005), pp.157-163.

Google Scholar

[6] J.M. Zhong, R. Ning and D. Conover: IEEE Transactions on Medical Image Vol. 23 (2004), pp.696-703.

Google Scholar

[7] K.Y. Wang, D.H. Zhang, K.D. Huang and M.J. Li: Journal of Computer-Aided Design & Computer Graphics Vol. 21 (2009), pp.954-961.

Google Scholar

[8] R. Ning, X.Y. Tang and D.L. Conover: Proc. SPIE Vol. 4682 (2002), pp.1605-7422.

Google Scholar

[9] K.D. Huang, D.H. Zhang and M.J. Li: Proceedings of 9th International Conference on Electronic Measurement & Instruments (2009), pp.4368-4372.

Google Scholar

[10] C.H. Yan, R.T. Whalen, G.S. Beaupre, S.Y. Yen and S. Napel: IEEE Transactions on Medical Imaging Vol. 19 (2000), pp.1-11.

Google Scholar

[11] J. Fu, H.N. Lu, H.Y. Ren and H. Jin: Journal of Beijing University of Aeronautics and Astronautics Vol. 32 (2006), pp.725-728.

Google Scholar

[12] K.D. Huang, D.H. Zhang, Y.M. Kong and K. Wang: Chinese Journal of Scientific Instrument Vol. 29 (2008), pp.1873-1877.

Google Scholar

[13] K.D. Huang, D.H. Zhang and M.J. Li: Proceedings of 2nd International Congress on Image and Signal Processing (2009), pp.564-568.

Google Scholar