Presentation
13 March 2024 Improving the accuracy of estimating tissue optical properties of the human head through combined continuous-wave and time-resolved near-infrared spectroscopy with Monte-Carlo based models
Author Affiliations +
Abstract
We combine continuous-wave (CW) and time-resolved (TR) near-infrared spectroscopy (NIRS) to effectively quantify tissue optical properties (OPs) of both shallow and deep regions in human heads. Utilizing iterative curve fitting in which artificial neural networks trained with Monte-Carlo simulated data serve as the forward model, we derive the OPs of interest such as the gray matter through TR NIRS with the assumption of known OPs of shallower tissue regions estimated from broadband CW-NIRS measurements. Preliminary results indicate improved accuracy in quantifying deep tissue absorption coefficients, while presenting more challenges in estimating scattering coefficients. Further research and refinements are essential to address this challenge to facilitate a more thorough understanding of photon propagation in the head composed of complex biological tissues.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ting-Yi Kuo, Chien-Jung Chiu, Chi-Hsiang Chuang, Tzu-Chia Kao, Bo-Yong Lin, and Kung-Bin Sung "Improving the accuracy of estimating tissue optical properties of the human head through combined continuous-wave and time-resolved near-infrared spectroscopy with Monte-Carlo based models", Proc. SPIE PC12840, Optical Interactions with Tissue and Cells XXXV, PC128400C (13 March 2024); https://doi.org/10.1117/12.3000687
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KEYWORDS
Near infrared spectroscopy

Head

Tissues

Continuous wave operation

Optical properties

Scattering

3D modeling

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