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Model for the diffuse reflectance in spatial frequency domain imaging
SIGNIFICANCE: In spatial frequency domain imaging (SDFI), tissue is illuminated with sinusoidal intensity patterns at different spatial frequencies. For low spatial frequencies, the reflectance is diffuse and a model derived by Cuccia et al. (doi 10.1117/1.3088140) is commonly used to extract optica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079774/ https://www.ncbi.nlm.nih.gov/pubmed/37035029 http://dx.doi.org/10.1117/1.JBO.28.4.046002 |
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author | Post, Anouk L. Faber, Dirk J. van Leeuwen, Ton G. |
author_facet | Post, Anouk L. Faber, Dirk J. van Leeuwen, Ton G. |
author_sort | Post, Anouk L. |
collection | PubMed |
description | SIGNIFICANCE: In spatial frequency domain imaging (SDFI), tissue is illuminated with sinusoidal intensity patterns at different spatial frequencies. For low spatial frequencies, the reflectance is diffuse and a model derived by Cuccia et al. (doi 10.1117/1.3088140) is commonly used to extract optical properties. An improved model resulting in more accurate optical property extraction could lead to improved diagnostic algorithms. AIM: To develop a model that improves optical property extraction for the diffuse reflectance in SFDI compared to the model of Cuccia et al. APPROACH: We derive two analytical models for the diffuse reflectance, starting from the theoretical radial reflectance [Formula: see text] for a pencil-beam illumination under the partial current boundary condition (PCBC) and the extended boundary condition (EBC). We compare both models and the model of Cuccia et al. to Monte Carlo simulations. RESULTS: The model based on the PCBC resulted in the lowest errors, improving median relative errors compared to the model of Cuccia et al. by 45% for the reflectance, 10% for the reduced scattering coefficient and 64% for the absorption coefficient. CONCLUSIONS: For the diffuse reflectance in SFDI, the model based on the PCBC provides more accurate results than the currently used model by Cuccia et al. |
format | Online Article Text |
id | pubmed-10079774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-100797742023-04-08 Model for the diffuse reflectance in spatial frequency domain imaging Post, Anouk L. Faber, Dirk J. van Leeuwen, Ton G. J Biomed Opt Imaging SIGNIFICANCE: In spatial frequency domain imaging (SDFI), tissue is illuminated with sinusoidal intensity patterns at different spatial frequencies. For low spatial frequencies, the reflectance is diffuse and a model derived by Cuccia et al. (doi 10.1117/1.3088140) is commonly used to extract optical properties. An improved model resulting in more accurate optical property extraction could lead to improved diagnostic algorithms. AIM: To develop a model that improves optical property extraction for the diffuse reflectance in SFDI compared to the model of Cuccia et al. APPROACH: We derive two analytical models for the diffuse reflectance, starting from the theoretical radial reflectance [Formula: see text] for a pencil-beam illumination under the partial current boundary condition (PCBC) and the extended boundary condition (EBC). We compare both models and the model of Cuccia et al. to Monte Carlo simulations. RESULTS: The model based on the PCBC resulted in the lowest errors, improving median relative errors compared to the model of Cuccia et al. by 45% for the reflectance, 10% for the reduced scattering coefficient and 64% for the absorption coefficient. CONCLUSIONS: For the diffuse reflectance in SFDI, the model based on the PCBC provides more accurate results than the currently used model by Cuccia et al. Society of Photo-Optical Instrumentation Engineers 2023-04-07 2023-04 /pmc/articles/PMC10079774/ /pubmed/37035029 http://dx.doi.org/10.1117/1.JBO.28.4.046002 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Imaging Post, Anouk L. Faber, Dirk J. van Leeuwen, Ton G. Model for the diffuse reflectance in spatial frequency domain imaging |
title | Model for the diffuse reflectance in spatial frequency domain imaging |
title_full | Model for the diffuse reflectance in spatial frequency domain imaging |
title_fullStr | Model for the diffuse reflectance in spatial frequency domain imaging |
title_full_unstemmed | Model for the diffuse reflectance in spatial frequency domain imaging |
title_short | Model for the diffuse reflectance in spatial frequency domain imaging |
title_sort | model for the diffuse reflectance in spatial frequency domain imaging |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079774/ https://www.ncbi.nlm.nih.gov/pubmed/37035029 http://dx.doi.org/10.1117/1.JBO.28.4.046002 |
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