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Proceedings Paper

Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue
Author(s): Kristie Huda; Carolyn L. Bayer
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Paper 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.

Paper Details

Date Published: 17 February 2020
PDF: 5 pages
Proc. SPIE 11240, Photons Plus Ultrasound: Imaging and Sensing 2020, 112400D (17 February 2020); doi: 10.1117/12.2545155
Show Author Affiliations
Kristie Huda, Tulane Univ. (United States)
Carolyn L. Bayer, Tulane Univ. (United States)


Published in SPIE Proceedings Vol. 11240:
Photons Plus Ultrasound: Imaging and Sensing 2020
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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