Paper
9 April 2020 Numerical simulation of optical coherence tomography interference signal occurring in the intravascular space under a layer of soft biological tissue
Author Affiliations +
Proceedings Volume 11457, Saratov Fall Meeting 2019: Optical and Nano-Technologies for Biology and Medicine; 114571R (2020) https://doi.org/10.1117/12.2563858
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation
Abstract
А numerical simulation algorithm of the interference signal acquired from biological fluids’ flow in Doppler optical coherence tomography (OCT) system is described. The suggested numerical approach has four key features: i) hydrodynamic characteristics of the part of the geometric layout in the intravascular space are not static, but dynamically change in numerical simulation of the photon transport; ii) dynamic changes include fluctuations of the optical characteristics and geometry of the parts of the intravascular space and were made for all pixels (B-scan) or voxels (Cscan) of the acquired data; iii) pixels and voxels of the intravascular space are considered to have the optical properties either of blood plasma or of the red blood cells; iv) the flow velocity is different for different types of pixels (voxels) which replace each other in the intravascular space: v) velocity value is chosen to obtain the desired shape of the flow velocity profile. The numerical model of the flow with a complex structure in soft biological tissues was implemented as the dedicated software using the LabVIEW package. The interference signal (A-scan) simulating software was successfully tested using hydrodynamic phantoms and can be used to study flow characteristics and their dynamic changes.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Yu. Potlov, S. V. Frolov, and S. G. Proskurin "Numerical simulation of optical coherence tomography interference signal occurring in the intravascular space under a layer of soft biological tissue", Proc. SPIE 11457, Saratov Fall Meeting 2019: Optical and Nano-Technologies for Biology and Medicine, 114571R (9 April 2020); https://doi.org/10.1117/12.2563858
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KEYWORDS
Optical coherence tomography

Blood

Numerical simulations

Tissue optics

Monte Carlo methods

Geometrical optics

Signal processing

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