Paper
19 October 2016 Filtered back-projection reconstruction of photo-acoustic imaging based on an modified wavelet threshold function
Zhong Ren, Guodong Liu, Zhen Huang
Author Affiliations +
Proceedings Volume 10155, Optical Measurement Technology and Instrumentation; 101550D (2016) https://doi.org/10.1117/12.2243976
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhong Ren, Guodong Liu, and Zhen Huang "Filtered back-projection reconstruction of photo-acoustic imaging based on an modified wavelet threshold function", Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 101550D (19 October 2016); https://doi.org/10.1117/12.2243976
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KEYWORDS
Photoacoustic spectroscopy

Wavelets

Denoising

Glucose

Signal to noise ratio

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