Understanding the nature of optical coherence tomography images using Monte Carlo modeling

Andrew Beaumont; Michael Hu; Peter H. Tomlins

doi:10.1117/12.841893

24 February 2010 Understanding the nature of optical coherence tomography images using Monte Carlo modeling

Andrew Beaumont, Michael Hu, Peter H. Tomlins

Proceedings Volume 7566, Optics in Tissue Engineering and Regenerative Medicine IV; 75660K (2010) https://doi.org/10.1117/12.841893
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

In this study, we have chosen to implement a Monte Carlo simulation of an OCT system in order to investigate elements of the underlying physics of OCT images. Of particular interest is the signal decay primarily attributable to optical scattering, refractive index variations, including index matching, and how these compare with the influence of layer anisotropy.

Citation Download Citation

Andrew Beaumont, Michael Hu, and Peter H. Tomlins "Understanding the nature of optical coherence tomography images using Monte Carlo modeling", Proc. SPIE 7566, Optics in Tissue Engineering and Regenerative Medicine IV, 75660K (24 February 2010); https://doi.org/10.1117/12.841893

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