Presentation + Paper
14 March 2023 Beneath the skin: multi-frequency SFDI to detect thin layers of skin using light scattering
Author Affiliations +
Abstract
Wound healing assessment is usually performed visually by a trained physician. This type of evaluation is very subjective and returns limited information about the wound progression. In contrast, optical imaging techniques are non-invasive ways to quantitatively measure biological parameters. Spatial frequency domain imaging (SFDI) is an optical technique that exploits sinusoidal patterns of light with multiple spatial frequencies to measure the tissue frequency-specific response, from which the absorption and scattering coefficient of the material can be derived. While SFDI is based on models of light transport that assume the tissue is homogeneous, skin is composed by several layer with very different optical properties. An underutilized property of SFDI, however, is that the spatial frequency of the patterns determines the penetration depth of photons in the tissue. By using multiple ranges of spatial frequencies, we are developing a means to obtain morphological data from different volumes of tissue. This data is used to reconstruct the optical properties in depth, allowing us to differentiate between different thin layers of tissue. In this study we have developed a 2-layer optical phantom model with realistic optical properties and dimensions, that mimics the physiology of wound healing. We have used this physical model to validate the accuracy of this approach in obtaining layer specific optical properties.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luigi Belcastro, Hanna Jonasson, Tomas Strömberg, Ahmed Elserafy, and Rolf B. Saager "Beneath the skin: multi-frequency SFDI to detect thin layers of skin using light scattering", Proc. SPIE 12352, Photonics in Dermatology and Plastic Surgery 2023, 1235209 (14 March 2023); https://doi.org/10.1117/12.2648545
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KEYWORDS
Analytic models

Light scattering

Tissues

Data modeling

Scattering

Optical properties

Spatial frequencies

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