Role of multiple scattering in formation of OCT skin images

Journal Article · Mon Jun 30 04:00:00 EDT 2008 · Quantum Electronics (Woodbury, N.Y.)

DOI:https://doi.org/10.1070/QE2008V038N06ABEH013842· OSTI ID:21466874

Kirillin, M Yu; Priezzhev, A V ^[1]; Myllylae, R ^[2]

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1. M. V. Lomonosov Moscow State University, Faculty of Physics, Moscow (Russian Federation)
2. University of Oulu, Optoelectronics and Measurements Techniques Laboratory (Finland)

Optical coherence tomography (OCT) images of model human skin samples are obtained by using Monte Carlo simulations. The contributions of least and multiple scattering, diffusion and nondiffusion components and of separate scattering orders are studied by using a multilayer skin model based on experimental images. The model images are obtained by neglecting speckles or taking them into account. It is shown that least scattering forms the image of the upper skin layers, while the contribution of multiple scattering can be characterised as a blurred full image with a lower contrast. Repeated scattering mainly contributes to the OCT image at depths up to 1 mm. The diffusion component contributes to the image beginning from the epidermal basal layer. The partial image produced by this component is more blurred compared to the partial image produced by to multiple scattering. The nondiffusion component forms the OCT skin image at depths up to {approx}1.3 mm. (special issue devoted to application of laser technologies in biophotonics and biomedical studies)

• OSTI ID: 21466874
• Journal Information: Quantum Electronics (Woodbury, N.Y.), Journal Name: Quantum Electronics (Woodbury, N.Y.) Journal Issue: 6 Vol. 38; ISSN 1063-7818
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
BODY
CALCULATION METHODS
COHERENT RADIATION
COMPUTERIZED SIMULATION
DIAGNOSTIC TECHNIQUES
DIFFUSION
ELECTROMAGNETIC RADIATION
IMAGES
LASERS
LAYERS
MONTE CARLO METHOD
MULTIPLE SCATTERING
ORGANS
RADIATIONS
SCATTERING
SIMULATION
SKIN
TOMOGRAPHY