Improvement of wavelet threshold filtered back-projection image reconstruction algorithm

Zhong Ren; Guodong Liu; Zhen Huang

doi:10.1117/12.2069632

24 November 2014 Improvement of wavelet threshold filtered back-projection image reconstruction algorithm

Zhong Ren, Guodong Liu, Zhen Huang

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93010G (2014) https://doi.org/10.1117/12.2069632
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Image reconstruction technique has been applied into many fields including some medical imaging, such as X ray computer tomography (X-CT), positron emission tomography (PET) and nuclear magnetic resonance imaging (MRI) etc, but the reconstructed effects are still not satisfied because original projection data are inevitably polluted by noises in process of image reconstruction. Although some traditional filters e.g., Shepp-Logan (SL) and Ram-Lak (RL) filter have the ability to filter some noises, Gibbs oscillation phenomenon are generated and artifacts leaded by back-projection are not greatly improved. Wavelet threshold denoising can overcome the noises interference to image reconstruction. Since some inherent defects exist in the traditional soft and hard threshold functions, an improved wavelet threshold function combined with filtered back-projection (FBP) algorithm was proposed in this paper. Four different reconstruction algorithms were compared in simulated experiments. Experimental results demonstrated that this improved algorithm greatly eliminated the shortcomings of un-continuity and large distortion of traditional threshold functions and the Gibbs oscillation. Finally, the availability of this improved algorithm was verified from the comparison of two evaluation criterions, i.e. mean square error (MSE), peak signal to noise ratio (PSNR) among four different algorithms, and the optimum dual threshold values of improved wavelet threshold function was gotten.

Citation Download Citation

Zhong Ren, Guodong Liu, and Zhen Huang "Improvement of wavelet threshold filtered back-projection image reconstruction algorithm", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010G (24 November 2014); https://doi.org/10.1117/12.2069632

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