Time-domain schemes of optical topography: methodology, simulative and experimental validation

Linjing Duan; Xin Wang; Jiao Li; Xi Yi; Linhui Wu; Limin Zhang; Feng Gao

doi:10.1117/12.2001978

13 March 2013 Time-domain schemes of optical topography: methodology, simulative and experimental validation

Linjing Duan, Xin Wang, Jiao Li, Xi Yi, Linhui Wu, Limin Zhang, Feng Gao

Proceedings Volume 8574, Multimodal Biomedical Imaging VIII; 85740P (2013) https://doi.org/10.1117/12.2001978
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

To cope with the low quantification in the established optical topography that originates from the excessively simplified computation model based on the modified Lambert-Beer’s Law (MLBL), we propose a least-squares fitting scheme for time-domain optical topography that seeks for data matching between the time-resolved measurement and the model prediction calculated by analytically solving the time-domain diffusion equation in semi-infinite geometry. Our simulative and phantom experiments demonstrate that the proposed curve-fitting method is overall superior to the conventional MLBL-based one in quantitative performance.

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Linjing Duan, Xin Wang, Jiao Li, Xi Yi, Linhui Wu, Limin Zhang, and Feng Gao "Time-domain schemes of optical topography: methodology, simulative and experimental validation", Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740P (13 March 2013); https://doi.org/10.1117/12.2001978

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KEYWORDS

Tissue optics

Diffusion

Data modeling

Absorption

Brain

Scattering

Tissues

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