Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue

Kristie Huda; Carolyn L. Bayer

doi:10.1117/12.2545155

17 February 2020 Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue

Kristie Huda, Carolyn L. Bayer

Author Affiliations +

Proceedings Volume 11240, Photons Plus Ultrasound: Imaging and Sensing 2020; 112400D (2020) https://doi.org/10.1117/12.2545155
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Using spectral photoacoustic imaging (sPAI) to estimate oxygen saturation of tissue at depth suffers from inaccuracies due to the unknown optical absorption and scattering properties of tissue. Because of the high scattering and absorption of light by tissue, the estimation of concentrations of Hb and HbO2 from the measured photoacoustic (PA) signal intensity can be erroneous. Simulation of wavelength-dependent light transport in tissue can help to estimate the local fluence distribution within the tissue. In this work, a Monte Carlo simulation has been implemented to simulate the fluence distribution in placental tissue. We obtained sPAI images of ex vivo human placental tissue and demonstrate improved estimations of hemoglobin oxygen saturation by using a fluence correction derived from the Monte Carlo simulation. The results show that with simulation correction, the oxygen saturation value is 12.61±3% which is closer to the value 6.8% directly measured from ex vivo human placenta using invasive oxygen probe.

Citation Download Citation

Kristie Huda and Carolyn L. Bayer "Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue", Proc. SPIE 11240, Photons Plus Ultrasound: Imaging and Sensing 2020, 112400D (17 February 2020); https://doi.org/10.1117/12.2545155

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