Platform for combined Monte Carlo and k-Wave simulations of optoacoustic images for blood saturation mapping

Abstract

Optoacoustic (OA) imaging is a modern non-invasive hybrid visualization technique based on the illumination of tissue with short laser pulses and further detection of acoustic waves generated by local heating of tissue caused by the absorption of probing radiation. One of the most promising directions of OA imaging application is the mapping of blood oxygen saturation based on OA spectroscopy data owing to significant difference in oxy- and deoxyhemoglobin absorption spectra. Biological tissues are optically inhomogeneous, and their optical properties are a priori unknown, which requires development of customized approaches for extraction of physiological parameters. Current trend consists in application of machine learning techniques using large sets of synthetic OA data, which requires numerical solutions of both optical and acoustic problems.
We report on the platform for numerical simulation of OA data based on three-dimensional Monte Carlo simulation of light propagation in biological tissue for the solution of optical problem and the calculation of acoustic wave propagation within k-Wave toolbox. The developed platform was employed for systemic calculations of reconstructed OA images in the case of complex illumination geometries, commonly employed in OA microscopy systems. The calculations were performed for several probing wavelengths, 532, 658 and 1064 nm, which are common for spectral OA imaging. Simulated OA images for different vessel orientation, diameter and embedding depth allow for the analysis of these parameters impact on OA images formation and blood oxygen saturation reconstruction.

Speaker

Aleksandr Khilov
Institute of Applied Physics of Russian Academy of Sciences
Russia

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