Toward an automated method for optical coherence tomography characterization

Mathias Strupler; Amber M. Beckley; Fouzi Benboujja; Sylvain Dubois; Isabelle Noiseux; Ozzy Mermut; Jean-Pierre Bouchard; Caroline Boudoux

doi:10.1117/1.JBO.20.12.126007

17 December 2015 Toward an automated method for optical coherence tomography characterization

Mathias Strupler, Amber M. Beckley, Fouzi Benboujja, Sylvain Dubois, Isabelle Noiseux, Ozzy Mermut, Jean-Pierre Bouchard, Caroline Boudoux

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Journal of Biomedical Optics, Vol. 20, Issue 12, 126007 (December 2015). https://doi.org/10.1117/1.JBO.20.12.126007

Abstract

With the increasing use of optical coherence tomography (OCT) in biomedical applications, robust yet simple methods for calibrating and benchmarking a system are needed. We present here a procedure based on a calibration object complemented with an algorithm that analyzes three-dimensional OCT datasets to retrieve key characteristics of an OCT system. The calibration object combines state-of-the-art tissue phantom material with a diamond-turned aluminum multisegment mirror. This method is capable of determining rapidly volumetric field-of-view, axial resolution, and image curvature. Moreover, as the phantom material mimics biological tissue, the system’s signal and noise levels can be evaluated in conditions close to biological experiments. We believe this method could improve OCT quantitative data analysis and help OCT data comparison for longitudinal or multicenter studies.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Mathias Strupler, Amber M. Beckley, Fouzi Benboujja, Sylvain Dubois, Isabelle Noiseux, Ozzy Mermut, Jean-Pierre Bouchard, and Caroline Boudoux "Toward an automated method for optical coherence tomography characterization," Journal of Biomedical Optics 20(12), 126007 (17 December 2015). https://doi.org/10.1117/1.JBO.20.12.126007

Published: 17 December 2015

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