Laser-induced photoacoustic glucose spectrum denoising using an improved wavelet threshold translation-invariant algorithm

Zhong Ren; Guodong Liu; Zhen Huang; Wenping Zeng; Dongmei Li

doi:10.1117/12.835004

28 August 2009 Laser-induced photoacoustic glucose spectrum denoising using an improved wavelet threshold translation-invariant algorithm

Zhong Ren, Guodong Liu, Zhen Huang, Wenping Zeng, Dongmei Li

Author Affiliations +

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73822R (2009) https://doi.org/10.1117/12.835004
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

In this paper, the photoacoustic spectroscopy (PAS), a novel, hybrid, noninvasive imaging modality, is used to monitor the change of glucose concentration. A laser light with wavelength of 532nm is irradiated into the sample, The PA signal is detected by the ultrasonic transducer based on the thermal-expansion effect, which can reflect the biochemical properties of the biological tissues e.g., blood. Although PAS has better resolution and deeper penetration than others, the PA signal is unavoidably polluted by some noises. In order to remove these noises to improve the precision and the signal-to-noise ratio(SNR) of the glucose concentration, an improved wavelet threshold function is proposed. Meanwhile, to eliminate the Pseudo-Gibbs phenomenon, the improved threshold function combines translation-invariant(TI) algorithm to further improve the denoising effect. This threshold function can be looked as the compromise between Donoho's soft-threshold function and hard-threshold function. Experimental results show that the denoising result of improved function is better than that of Donoho's threshold functions and the semisoft-threshold function proposed by Gao, etc. The improved function with combined TI algorithm denoise not only gets higher SNR and lower root-mean-square error(RMSE), but makes the PA glucose spectral smoother. The SNR increases from 27.3658 to 44.7060, the RMSE decreases from 0.272 to 0.017.

Citation Download Citation

Zhong Ren, Guodong Liu, Zhen Huang, Wenping Zeng, and Dongmei Li "Laser-induced photoacoustic glucose spectrum denoising using an improved wavelet threshold translation-invariant algorithm", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73822R (28 August 2009); https://doi.org/10.1117/12.835004

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available