1. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography

    Multivariate Statistical Modeling of Retinal Optical Coherence Tomography

    In this paper a new statistical multivariate model for retinal Optical Coherence Tomography (OCT) Bscans is proposed. Due to the layered structure of OCT images, there is a horizontal dependency between adjacent pixels at specific distances, which led us to propose a more accurate multivariate statistical model to be employed in OCT processing applications such as denoising. Due to the asymmetric form of the probability density function (pdf) in each retinal layer, a generalized version of multivariate Gaussian Scale Mixture (GSM) model, which we refer to as GM-GSM model, is proposed for each retinal layer. In this model, the pixel ...

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