Presentation
5 March 2021 An open-source platform for optical coherence tomography monte carlo simulation
Author Affiliations +
Abstract
We present here an open-source platform capable of simulating Optical Coherence Tomography (OCT) images to be used by the community. Such a simulator can have a variety of applications such as the training of neural networks. Our first-generation Monte Carlo simulator quantifies detected photons path length. The code achieves reasonable runtime by exploiting a bias scattering scheme. The results are then interpreted to produce an OCT A-line. A Github platform was implemented with necessary documentation (e.g. readme file and instructions guide) to allow a variety of application and geometry as well as community-based improvements over time.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raphaël Maltais-Tariant, Khaliun Erde, Udayakumar Kanniyappan, Caroline Boudoux, and Mathieu Dehaes "An open-source platform for optical coherence tomography monte carlo simulation", Proc. SPIE 11640, Optical Interactions with Tissue and Cells XXXII, 116400G (5 March 2021); https://doi.org/10.1117/12.2576943
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KEYWORDS
Optical coherence tomography

Monte Carlo methods

Photon transport

Dispersion

Image resolution

Neural networks

Photodetectors

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