Share Email Print

Proceedings Paper

Signal and noise analysis of optical coherence tomography in highly scattering material at 1550nm
Author(s): Lin Lin; Yingjun Gao; Mei Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The signal and noise properties of standard time domain optical coherence tomography system are analyzed in near-infrared region based on extended Huygens-Fresnel principle. The signal-to-noise ratio and maximum probing depth are estimated for scattering media with discontinuity plane inside. In numerical simulation, the relationship between coherent signal and scattering coefficients, and depth dependence SNR are calculated. The difference between specular and diffuse reflection is given out and analyzed. Numerical result is verified by well established experiment with different concentration mixture solution of IntralipidTM, from 1% to 15%. The OCT system consists of fiber Michelson interferometer and 1550 nm ASE optical source with coherent length of 14μm. Both numerical and experimental results show that multiple scattering events are the main reason for decreasing of signal-to-noise ratio. According to the research, wavelength at 1550 nm is also suitable for imaging of biomedical tissue because of lower scattering coefficients. More than 2 mm penetration depth is obtained in experiment for 10% IntralipidTM which has scattering coefficient similar to skin tissue.

Paper Details

Date Published: 8 November 2010
PDF: 7 pages
Proc. SPIE 7845, Optics in Health Care and Biomedical Optics IV, 784520 (8 November 2010); doi: 10.1117/12.868774
Show Author Affiliations
Lin Lin, Jinan Univ. (China)
Guangdong Medical College (China)
Yingjun Gao, Jinan Univ. (China)
Mei Zhang, Dongguan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7845:
Optics in Health Care and Biomedical Optics IV
Qingming Luo; Ying Gu; Xingde Li, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?