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Method for depth-resolved quantitation of optical properties in layered media using spatially modulated quantitative spectroscopy
Beckman Laser Institute and Medical Clinic, USA.
Beckman Laser Institute and Medical Clinic, USA.
Modulated Imaging, Inc. USA.
Beckman Laser Institute and Medical Clinic, USA.
2011 (English)In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 16, no 7, article id 077002Article in journal (Refereed) Published
Abstract [en]

We have demonstrated that spatially modulated quantitative spectroscopy (SMoQS) is capable of extracting absolute optical properties from homogeneous tissue simulating phantoms that span both the visible and near-infrared wavelength regimes. However, biological tissue, such as skin, is highly structured, presenting challenges to quantitative spectroscopic techniques based on homogeneous models. In order to more accurately address the challenges associated with skin, we present a method for depth-resolved optical property quantitation based on a two layer model. Layered Monte Carlo simulations and layered tissue simulating phantoms are used to determine the efficacy and accuracy of SMoQS to quantify layer specific optical properties of layered media. Initial results from both the simulation and experiment show that this empirical method is capable of determining top layer thickness within tens of microns across a physiological range for skin. Layer specific chromophore concentration can be determined to <±10% the actual values, on average, whereas bulk quantitation in either visible or near infrared spectroscopic regimes significantly underestimates the layer specific chromophore concentration and can be confounded by top layer thickness.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2011. Vol. 16, no 7, article id 077002
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:liu:diva-152334DOI: 10.1117/1.3597621OAI: oai:DiVA.org:liu-152334DiVA, id: diva2:1264987
Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2019-03-07Bibliographically approved

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Saager, Rolf B.

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