Combined Monte Carlo and k-Wave simulations of optoacoustic images of blood vessels in tissue-like medium

We simulated set of OA images at dual wavelengths for different vasculature parameters by applying combined Monte Carlo and k-Wave simulations. The obtained set of synthetic OA data revealed high potential as a training set for machine learning technique for blood oxygen saturation mapping based on...

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Bibliographic Details
Main Authors: Perekatova, V.V., Khilov, A.V., Kurakina, D.A., Getmanskaya, A.A., Kirillin, M.Yu
Format: Conference Proceeding
Language:English
Subjects:
acoustic modeling
Biomedical imaging
Blood
blood oxygen saturation
Laser modes
Machine learning
Monte Carlo methods
Monte Carlo modeling
Optics
Training
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Description
Summary:We simulated set of OA images at dual wavelengths for different vasculature parameters by applying combined Monte Carlo and k-Wave simulations. The obtained set of synthetic OA data revealed high potential as a training set for machine learning technique for blood oxygen saturation mapping based on spectral OA data.
ISSN:2642-5580
DOI:10.1109/ICLO54117.2022.9840111