A new algorithm for speckle reduction of optical coherence tomography images

Mohammadreza R. N. Avanaki; Manuel J. Marques; Adrian Bradu; Ali Hojjatoleslami; Adrian Gh. Podoleanu

doi:10.1117/12.2041943

4 March 2014 A new algorithm for speckle reduction of optical coherence tomography images

Mohammadreza R. N. Avanaki, Manuel J. Marques, Adrian Bradu, Ali Hojjatoleslami, Adrian Gh. Podoleanu

Proceedings Volume 8934, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII; 893437 (2014) https://doi.org/10.1117/12.2041943
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

In this study, we present a new algorithm based on an artificial neural network (ANN) for reducing speckle noise from optical coherence tomography (OCT) images. The noise is modeled for different parts of the image using Rayleigh distribution with a noise parameter, sigma, estimated by the ANN. This is then used along with a numerical method to solve the inverse Rayleigh function to reduce the noise in the image. The algorithm is tested successfully on OCT images of retina, demonstrating a significant increase in the signal-to-noise ratio (SNR) and the contrast of the processed images.

Citation Download Citation

Mohammadreza R. N. Avanaki, Manuel J. Marques, Adrian Bradu, Ali Hojjatoleslami, and Adrian Gh. Podoleanu "A new algorithm for speckle reduction of optical coherence tomography images", Proc. SPIE 8934, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, 893437 (4 March 2014); https://doi.org/10.1117/12.2041943

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