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Proceedings Paper

Filtered back-projection reconstruction of photo-acoustic imaging based on an modified wavelet threshold function
Author(s): Zhong Ren; Guodong Liu; Zhen Huang
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Paper Abstract

In this study, the filtered back-projection algorithm was used to reconstruct the photoacoustic imaging. To improve the quality of the reconstructed image, the wavelet threshold denoising method was combined into the filtered back-projection reconstruction algorithm. To obtain the reconstructed effect of the photoacoustic imaging, a modified wavelet threshold function was proposed. To verify the feasibility of the modified wavelet threshold function, the simulation experiments of the standard test phantom were performed by using three different wavelet threshold functions. Compared with the soft- and hard-threshold functions, the modified wavelet threshold function has better denoised and reconstructed effect. Moreover, the peak signal-to-noises ratio (PSNR) value of the modified function is largest, and its mean root square error (MRSE) value is lest than that of two others. Therefore, the filtered back-projection reconstruction algorithm combined with the modified wavelet threshold function has potential value in the reconstruction of the photoacoustic imaging.

Paper Details

Date Published: 19 October 2016
PDF: 9 pages
Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 101550D (19 October 2016); doi: 10.1117/12.2243976
Show Author Affiliations
Zhong Ren, Jiangxi Science and Technology Normal Univ. (China)
Nanchang Univ. (China)
Guodong Liu, Jiangxi Science and Technology Normal Univ. (China)
Zhen Huang, Jiangxi Science and Technology Normal Univ. (China)


Published in SPIE Proceedings Vol. 10155:
Optical Measurement Technology and Instrumentation
Sen Han; JiuBin Tan, Editor(s)

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