Abstract

Polarization dependent image artifacts are common in optical coherence tomography imaging. Polarization insensitive detection scheme for swept source based optical coherence tomography systems is well established but is yet to be demonstrated for all fiber spectrometer-based Fourier domain optical coherence tomography systems. In this work, we present an all fiber polarization insensitive detection scheme for spectrometer based optical coherence tomography systems. Images from chicken breast muscle tissue were acquired to demonstrate the effectiveness of this scheme for the conventional Fourier domain optical coherence tomography system.

Highlights

  • High resolution, real time, three-dimensional (3D) imaging of biological tissue is of great interest in both; to study and to diagnosis human diseases

  • We present an all fiber polarization insensitive detection scheme for spectrometer based optical coherence tomography systems

  • Images from chicken breast muscle tissue were acquired to demonstrate the effectiveness of this scheme for the conventional Fourier domain optical coherence tomography system

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Summary

Introduction

Real time, three-dimensional (3D) imaging of biological tissue is of great interest in both; to study and to diagnosis human diseases. A system where a stationary broadband signal is dispersed spatially and detected using a spectrometer is referred as a spectrometer-based Fourier domain OCT (FD-OCT) system [3] Both these systems suffer from changes in the polarization of the optical signal when the signal is transmitted through materials possessing anisotropic properties [4]. The polarization state of the sample-arm signal may change due to the birefringence of the tissue being imaged and PM fibers may not be able to account for that. This problem has been mitigated in SS-OCT systems using a polarization insensitive detection unit (PIDU) [6,7]. We have developed a PIDU for spectrometer-based FD-OCT system and demonstrate that polarization associated artifacts in image can be minimized

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