Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation

Jacob R. Bauer, Jon Y. Hardeberg, Rudolf Verdaasdonk

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Optical non-contact measurements in general, and chromophore concentration estimation in particular, have been identified to be useful tools for skin assessment. Spectral estimation using a low cost hand held device has not been studied adequately as a basis for skin assessment. Spectral measurements on the one hand, which require bulky, expensive and complex devices and direct channel approaches on the other hand, which operate with simple optical devices have been considered and applied for skin assessment. In this study, we analyse the capabilities of spectral estimation for skin assessment in form of chromophore concentration estimation using a prototypical low cost optical non-contact device. A spectral estimation work flow is implemented and combined with pre-simulated Monte Carlo spectra to use estimated spectra based on conventional image sensors for chromophore concentrations estimation and obtain health metrics. To evaluate the proposed approach, we performed a series of occlusion experiments and examined the capabilities of the proposed process. Additionally, the method has been applied to more general skin assessment tasks. The proposed process provides a more general representation in form of a spectral image cube which can be used for more advanced analysis and the comparisons show good agreement with expectations and conventional skin assessment methods. Utilising spectral estimation in conjunction with Monte Carlo simulation could lead to low cost, easy to use, hand held and multifunctional optical skin assessment with the possibility to improve skin assessment and the diagnosis of diseases.

Original languageEnglish
Title of host publicationMultimodal Biomedical Imaging XII
PublisherSPIE
Volume10057
ISBN (Electronic)9781510605558
DOIs
Publication statusPublished - 2017
EventMultimodal Biomedical Imaging XII - San Francisco, United States
Duration: 28 Jan 2017 → …

Conference

ConferenceMultimodal Biomedical Imaging XII
CountryUnited States
CitySan Francisco
Period28/01/2017 → …

Cite this

Bauer, J. R., Hardeberg, J. Y., & Verdaasdonk, R. (2017). Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation. In Multimodal Biomedical Imaging XII (Vol. 10057). [1005703] SPIE. https://doi.org/10.1117/12.2252097
Bauer, Jacob R. ; Hardeberg, Jon Y. ; Verdaasdonk, Rudolf. / Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation. Multimodal Biomedical Imaging XII. Vol. 10057 SPIE, 2017.
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abstract = "Optical non-contact measurements in general, and chromophore concentration estimation in particular, have been identified to be useful tools for skin assessment. Spectral estimation using a low cost hand held device has not been studied adequately as a basis for skin assessment. Spectral measurements on the one hand, which require bulky, expensive and complex devices and direct channel approaches on the other hand, which operate with simple optical devices have been considered and applied for skin assessment. In this study, we analyse the capabilities of spectral estimation for skin assessment in form of chromophore concentration estimation using a prototypical low cost optical non-contact device. A spectral estimation work flow is implemented and combined with pre-simulated Monte Carlo spectra to use estimated spectra based on conventional image sensors for chromophore concentrations estimation and obtain health metrics. To evaluate the proposed approach, we performed a series of occlusion experiments and examined the capabilities of the proposed process. Additionally, the method has been applied to more general skin assessment tasks. The proposed process provides a more general representation in form of a spectral image cube which can be used for more advanced analysis and the comparisons show good agreement with expectations and conventional skin assessment methods. Utilising spectral estimation in conjunction with Monte Carlo simulation could lead to low cost, easy to use, hand held and multifunctional optical skin assessment with the possibility to improve skin assessment and the diagnosis of diseases.",
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Bauer, JR, Hardeberg, JY & Verdaasdonk, R 2017, Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation. in Multimodal Biomedical Imaging XII. vol. 10057, 1005703, SPIE, Multimodal Biomedical Imaging XII, San Francisco, United States, 28/01/2017. https://doi.org/10.1117/12.2252097

Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation. / Bauer, Jacob R.; Hardeberg, Jon Y.; Verdaasdonk, Rudolf.

Multimodal Biomedical Imaging XII. Vol. 10057 SPIE, 2017. 1005703.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation

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AU - Verdaasdonk, Rudolf

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N2 - Optical non-contact measurements in general, and chromophore concentration estimation in particular, have been identified to be useful tools for skin assessment. Spectral estimation using a low cost hand held device has not been studied adequately as a basis for skin assessment. Spectral measurements on the one hand, which require bulky, expensive and complex devices and direct channel approaches on the other hand, which operate with simple optical devices have been considered and applied for skin assessment. In this study, we analyse the capabilities of spectral estimation for skin assessment in form of chromophore concentration estimation using a prototypical low cost optical non-contact device. A spectral estimation work flow is implemented and combined with pre-simulated Monte Carlo spectra to use estimated spectra based on conventional image sensors for chromophore concentrations estimation and obtain health metrics. To evaluate the proposed approach, we performed a series of occlusion experiments and examined the capabilities of the proposed process. Additionally, the method has been applied to more general skin assessment tasks. The proposed process provides a more general representation in form of a spectral image cube which can be used for more advanced analysis and the comparisons show good agreement with expectations and conventional skin assessment methods. Utilising spectral estimation in conjunction with Monte Carlo simulation could lead to low cost, easy to use, hand held and multifunctional optical skin assessment with the possibility to improve skin assessment and the diagnosis of diseases.

AB - Optical non-contact measurements in general, and chromophore concentration estimation in particular, have been identified to be useful tools for skin assessment. Spectral estimation using a low cost hand held device has not been studied adequately as a basis for skin assessment. Spectral measurements on the one hand, which require bulky, expensive and complex devices and direct channel approaches on the other hand, which operate with simple optical devices have been considered and applied for skin assessment. In this study, we analyse the capabilities of spectral estimation for skin assessment in form of chromophore concentration estimation using a prototypical low cost optical non-contact device. A spectral estimation work flow is implemented and combined with pre-simulated Monte Carlo spectra to use estimated spectra based on conventional image sensors for chromophore concentrations estimation and obtain health metrics. To evaluate the proposed approach, we performed a series of occlusion experiments and examined the capabilities of the proposed process. Additionally, the method has been applied to more general skin assessment tasks. The proposed process provides a more general representation in form of a spectral image cube which can be used for more advanced analysis and the comparisons show good agreement with expectations and conventional skin assessment methods. Utilising spectral estimation in conjunction with Monte Carlo simulation could lead to low cost, easy to use, hand held and multifunctional optical skin assessment with the possibility to improve skin assessment and the diagnosis of diseases.

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Bauer JR, Hardeberg JY, Verdaasdonk R. Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation. In Multimodal Biomedical Imaging XII. Vol. 10057. SPIE. 2017. 1005703 https://doi.org/10.1117/12.2252097