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Journal of Biomedical Optics • Open Access

Toward an automated method for optical coherence tomography characterization
Author(s): Mathias Strupler; Amber M. Beckley; Fouzi Benboujja; Sylvain Dubois; Isabelle Noiseux; Ozzy Mermut; Jean-Pierre Bouchard; Caroline Boudoux

Paper 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.

Paper Details

Date Published: 17 December 2015
PDF: 7 pages
J. Biomed. Opt. 20(12) 126007 doi: 10.1117/1.JBO.20.12.126007
Published in: Journal of Biomedical Optics Volume 20, Issue 12
Show Author Affiliations
Mathias Strupler, Ecole Polytechnique de Montréal (Canada)
Amber M. Beckley, Ecole Polytechnique de Montréal (Canada)
Fouzi Benboujja, Ecole Polytechnique de Montréal (Canada)
Sylvain Dubois, Institut National d’Optique (Canada)
Isabelle Noiseux, INO (Canada)
Ozzy Mermut, INO (Canada)
Jean-Pierre Bouchard, INO (Canada)
Caroline Boudoux, École Polytechnique de Montréal (Canada)

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