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Proceedings Paper

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

Paper Details

Date Published: 15 February 2017
PDF: 9 pages
Proc. SPIE 10057, Multimodal Biomedical Imaging XII, 1005703 (15 February 2017); doi: 10.1117/12.2252097
Show Author Affiliations
Jacob R. Bauer, Norwegian Univ. of Science and Technology (Norway)
Jon Y. Hardeberg, Norwegian Univ. of Science and Technology (Norway)
Rudolf Verdaasdonk, Vrije Univ. Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 10057:
Multimodal Biomedical Imaging XII
Fred S. Azar; Xavier Intes, Editor(s)

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