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Proceedings Paper

In vivo measurements of optical properties of human muscles with visible and near infrared reflectance spectroscopy
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Paper Abstract

Estimating optical properties of tissues is a crucial step to model photon migration in tissue, facilitate the design of the probe geometry, better interpret data measured from tissue and predict photon energy distributions in tissue for various diagnostic and therapeutic applications. Diffuse reflectance spectroscopy (DRS) using visible and near-infrared light is a well-known method for estimating optical properties of tissues. For estimating optical properties of muscles, most existing researches have used integrating spheres for ex-vivo measurements. However, due to inter-subject variability and sitespecific conditions, an in-vivo approach can provide more accurate estimations of muscle absorption and scattering coefficients, which is important for the tomographic reconstruction of changes in the absorption or fluorescence in tissue. In this study, we used DRS with wavelengths between 600 nm and 800 nm and a fiber bundle with source-to-detector separations in the range of 0.18-0.35 cm to quantify wavelength-dependent scattering and absorption coefficients of human muscles in vivo with an inverse Monte Carlo model. Reflectance spectra were measured on the neck and the upper arm of one volunteer. After calibrating spectra with tissue phantoms made of Intralipid and India ink, we estimated scattering and absorption coefficients of muscles. The results are compared to those measured ex vivo in the literature.

Paper Details

Date Published: 19 February 2018
PDF: 6 pages
Proc. SPIE 10489, Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis, 104890F (19 February 2018); doi: 10.1117/12.2288876
Show Author Affiliations
Chiao Yi Wang, National Taiwan Univ. (Taiwan)
Ting Wen Yu, National Taiwan Univ. (Taiwan)
Kung Bin Sung, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 10489:
Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis
Robert R. Alfano; Stavros G. Demos, Editor(s)

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