PIXEL RECONSTRUCTION FOR SPECKLE REDUCTION IN 3D OPTICAL COHERENCE TOMOGRAPHY OF RETINA

Speckle noise reduction in optical coherence tomography (OCT) is important for better visualization and analysis in retinal imaging. This paper proposes a novel pixel reconstruction based method to reduce speckle noise in 3D OCT of retina. In the proposed method, each pixel is estimated as the sum of a noise-free part and a noise part, which are solved by axial-scan based alignment and a low rank matrix completion algorithm. Evaluated in a data set of 20 volumes, results show that the proposed method effectively reduces the noise. The technology is beneficial and can be used in OCT machines.