1. Analysis of scattering statistics and governing distribution functions in optical coherence tomography

    Analysis of scattering statistics and governing distribution functions in optical coherence tomography

    The probability density function (PDF) of light scattering intensity can be used to characterize the scattering medium. We have recently shown that in optical coherence tomography (OCT), a PDF formalism can be sensitive to the number of scatterers in the probed scattering volume and can be represented by the K-distribution, a functional descriptor for non-Gaussian scattering statistics. Expanding on this initial finding, here we examine polystyrene microsphere phantoms with different sphere sizes and concentrations, and also human skin and fingernail in vivo . It is demonstrated that the K-distribution offers an accurate representation for the measured OCT PDFs. The behavior of ...

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