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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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MCOCT: an experimentally and numerically validated, open-source Monte Carlo simulator for optical coherence
Khaliun Erdenedalai1, Raphaël Maltais-Tariant1, Mathieu Dehaes2,3,4
1Polytechnique Montreal, Department of Engineering Physics, H3T 1J4, Montreal, Canada.
Biomedical Optics Express
|February 26, 2024
Summary
We developed MCOCT, a Monte Carlo simulator for optical coherence tomography (OCT). This new simulator shows good agreement with existing tools and experimental data, aiding OCT system design.
Area of Science:
- Biomedical Optics
- Medical Imaging Simulation
- Optical Coherence Tomography
Background:
- Optical Coherence Tomography (OCT) is a crucial medical imaging technique.
- Accurate simulation of OCT is essential for system design and data interpretation.
- Existing simulators may have limitations in specific scenarios.
Purpose of the Study:
- To introduce MCOCT, a novel Monte Carlo simulator for OCT.
- To validate MCOCT against established numerical and experimental benchmarks.
- To assess MCOCT's utility in advancing OCT system development.
Main Methods:
- Developed MCOCT incorporating Gaussian illumination and biased event collection.
- Numerically compared MCOCT optical fluence with the MCX simulator.
- Experimentally validated MCOCT OCT signals using tissue-mimicking phantoms.
Main Results:
- MCOCT showed numerical concordance with MCX at the optical focus.
- Experimental validation revealed similar signal attenuation patterns to depth.
- Discrepancies were noted beyond 1.5 mm and near layer interfaces.
Conclusions:
- MCOCT is a validated Monte Carlo simulator for OCT.
- The simulator demonstrates potential for OCT system design optimization.
- Further refinement may improve accuracy in complex scattering scenarios.
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