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通过同时分析稳态漫反射光谱的光谱和空间信息对双层混浊介质的光学特性进行量化。

Quantification of the optical properties of two-layered turbid media by simultaneously analyzing the spectral and spatial information of steady-state diffuse reflectance spectroscopy.

作者信息

Tseng Te-Yu, Chen Chun-Yu, Li Yi-Shan, Sung Kung-Bin

出版信息

Biomed Opt Express. 2011 Mar 16;2(4):901-14. doi: 10.1364/BOE.2.000914.

DOI:10.1364/BOE.2.000914
PMID:21483612
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3072129/
Abstract

We applied hyperspectral imaging to measure spatially-resolved diffuse reflectance spectra in the visible range and an iterative inversion method based on forward Monte Carlo modeling to quantify optical properties of two-layered tissue models. We validated the inversion method using spectra experimentally measured from liquid tissue mimicking phantoms with known optical properties. Results of fitting simulated data showed that simultaneously considering the spatial and spectral information in the inversion process improves the accuracies of estimating the optical properties and the top layer thickness in comparison to methods fitting reflectance spectra measured with a single source-detector separation or fitting spatially-resolved reflectance at a single wavelength. Further development of the method could improve noninvasive assessment of physiological status and pathological conditions of stratified squamous epithelium and superficial stroma.

摘要

我们应用高光谱成像技术来测量可见光范围内空间分辨的漫反射光谱，并采用基于正向蒙特卡罗建模的迭代反演方法来量化双层组织模型的光学特性。我们使用从具有已知光学特性的液体组织模拟体模实验测量得到的光谱对反演方法进行了验证。拟合模拟数据的结果表明，与使用单源 - 探测器间距测量的反射光谱进行拟合或在单一波长下拟合空间分辨反射率的方法相比，在反演过程中同时考虑空间和光谱信息可提高光学特性和顶层厚度估计的准确性。该方法的进一步发展可能会改善对分层鳞状上皮和浅表基质的生理状态和病理状况的无创评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/44224615f8ce/boe-2-4-901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/39ab1ad339e6/boe-2-4-901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/e56fa592b192/boe-2-4-901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/44224615f8ce/boe-2-4-901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/39ab1ad339e6/boe-2-4-901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/e56fa592b192/boe-2-4-901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3498/3072129/44224615f8ce/boe-2-4-901-g003.jpg

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