Literature DB >> 25027003

Accurate extraction of optical properties and top layer thickness of two-layered mucosal tissue phantoms from spatially resolved reflectance spectra.

Kung-Bin Sung1, Kuang-Wei Shih2, Fang-Wei Hsu2, Hong-Po Hsieh2, Min-Jie Chuang2, Yi-Hsien Hsiao2, Yu-Hui Su2, Gen-Hao Tien2.   

Abstract

We are reporting on an experimental investigation of a movable diffuse reflectance spectroscopy system to extract diagnostically relevant optical properties of two-layered tissue phantoms simulating mucosae that are covered with stratified squamous epithelium. The reflectance spectra were measured at multiple sourcedetector separations using two imaging fiber bundles in contact with the phantoms, one with its optical axis perpendicular to the sample surface (perpendicular probe) and the other with its distal end beveled and optical axis tilted at 45 deg (oblique probe). Polystyrene microspheres and purified human hemoglobin were used to make tissue phantoms whose scattering and absorption properties could be well controlled and theoretically predicted. Monte Carlo simulations were used to predict the reflectance spectra for system calibration and an iterative curve fitting that simultaneously extracted the top layer reduced scattering coefficient, thickness, bottom layer reduced scattering coefficient, and hemoglobin concentration of the phantoms. The errors of the recovered parameters ranged from 7% to 20%. The oblique probe showed higher accuracy in the extracted top layer reduced scattering coefficient and thickness than the perpendicular probe. The developed system and data analysis methods provide a feasible tool to quantify the optical properties in vivo.

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Year:  2014        PMID: 25027003     DOI: 10.1117/1.JBO.19.7.077002

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  5 in total

1.  Modelling spatially-resolved diffuse reflectance spectra of a multi-layered skin model by artificial neural networks trained with Monte Carlo simulations.

Authors:  Sheng-Yang Tsui; Chiao-Yi Wang; Tsan-Hsueh Huang; Kung-Bin Sung
Journal:  Biomed Opt Express       Date:  2018-03-07       Impact factor: 3.732

2.  Optical property recovery with spatially-resolved diffuse reflectance at short source-detector separations using a compact fiber-optic probe.

Authors:  Karina G Bridger; Jacob R Roccabruna; Timothy M Baran
Journal:  Biomed Opt Express       Date:  2021-11-09       Impact factor: 3.732

3.  Spatially resolved diffuse reflectance spectroscopy endoscopic sensing with custom Si photodetectors.

Authors:  Ben Lariviere; Katherine S Garman; N Lynn Ferguson; Deborah A Fisher; Nan M Jokerst
Journal:  Biomed Opt Express       Date:  2018-02-15       Impact factor: 3.732

4.  Precancerous esophageal epithelia are associated with significantly increased scattering coefficients.

Authors:  Jing-Wei Su; Yang-Hsien Lin; Chun-Ping Chiang; Jang-Ming Lee; Chao-Mao Hsieh; Min-Shu Hsieh; Pei-Wen Yang; Chen-Ping Wang; Ping-Huei Tseng; Yi-Chia Lee; Kung-Bin Sung
Journal:  Biomed Opt Express       Date:  2015-09-03       Impact factor: 3.732

5.  Quantifying tissue optical properties of human heads in vivo using continuous-wave near-infrared spectroscopy and subject-specific three-dimensional Monte Carlo models.

Authors:  Tzu-Chia Kao; Kung-Bin Sung
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

  5 in total

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