Abstract

We propose using maximum a-posteriori (MAP) estimation to improve the image signal-to-noise ratio (SNR) in polarization diversity (PD) optical coherence tomography. PD-detection removes polarization artifacts, which are common when imaging highly birefringent tissue or when using a flexible fiber catheter. However, dividing the probe power to two polarization detection channels inevitably reduces the SNR. Applying MAP estimation to PD-OCT allows for the removal of polarization artifacts while maintaining and improving image SNR. The effectiveness of the MAP-PD method is evaluated by comparing it with MAP-non-PD, intensity averaged PD, and intensity averaged non-PD methods. Evaluation was conducted in vivo with human eyes. The MAP-PD method is found to be optimal, demonstrating high SNR and artifact suppression, especially for highly birefringent tissue, such as the peripapillary sclera. The MAP-PD based attenuation coefficient image also shows better differentiation of attenuation levels than non-MAP attenuation images.

Highlights

  • Standard OCT has been widely used for the imaging and diagnosis of the posterior eye for over 20 years [1, 2], due to its high resolution, speed, and sensitivity

  • By comparing the images made by intensity averaging and the maximum a-posteriori (MAP) images, it can be seen that the intensity averaged images show a higher noise-offset in the low intensity regions, and have lower contrast compared with the corresponding MAP images

  • polarization diversity (PD)-detection and image composition removed polarization artifacts that were apparent in OCT images of the peripapillary sclera

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Summary

Introduction

Standard OCT has been widely used for the imaging and diagnosis of the posterior eye for over 20 years [1, 2], due to its high resolution, speed, and sensitivity. There have been many functional extensions to OCT [3], such as Doppler OCT [4,5,6,7], optical coherence angiography [7,8,9,10], polarization sensitive OCT [11,12,13,14,15,16,17,18], and spectroscopic OCT [19,20,21,22]. In posterior eye imaging, the vitreous body appears with a weak random signal, where one expects a much lower signal because its purpose is to be transparent

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