Paper
1 July 2004 Depth-wise differentiation of Jones matrices obtained from Mueller optical coherence tomography
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Abstract
A unique feature of polarization-sensitive Mueller optical coherence tomography (Mueller-OCT) is that it can reveal various polarization properties of biological samples that are not observable using conventional OCT. One of the most important polarization parameters is birefringence, which can be measured in its integrated form using existing Mueller-OCT systems. We present a new method that uses the least squares algorithm to differentiate measured integrated Jones matrices so that the samples can be observed layer-by-layer. We tested the algorithm using simulated data with variable additive white Gaussian noise (AWGN) levels. We further verified the algorithm using in vitro measurements of the porcine tendon and the septum of the rat heart. This least squares-based algorithm has the potential to reveal structures previously hidden by the inherent masking properties of the integrated images and provide localized phase retardation and orientation information.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Milos Todorovic, Shuliang Jiao, George Stoica, and Lihong V. Wang "Depth-wise differentiation of Jones matrices obtained from Mueller optical coherence tomography", Proc. SPIE 5316, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VIII, (1 July 2004); https://doi.org/10.1117/12.531024
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KEYWORDS
Optical coherence tomography

Signal to noise ratio

Jones matrices

Polarization

Matrices

Birefringence

Tissues

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