# Development of a blood oxygenation phantom for photoacoustic tomography   combined with online pO2 detection and flow spectrometry

**Authors:** Marcel Gehrung, Sarah Bohndiek, Joanna Brunker

arXiv: 1906.01483 · 2019-12-17

## TL;DR

This paper presents a low-cost flow phantom system for validating photoacoustic tomography measurements of blood oxygen saturation, enabling dynamic assessment and correction of measurement inaccuracies in a controlled setting.

## Contribution

The authors developed a novel, low-cost flow phantom with online sensors for validating and improving photoacoustic sO2 measurements in vitro.

## Key findings

- Demonstrated the phantom's ability to evaluate sO2 using blood oxygenation changes.
- Showed the influence of multispectral processing on sO2 accuracy.
- Validated the phantom as a tool for future calibration and parameter studies.

## Abstract

Photoacoustic tomography (PAT) is intrinsically sensitive to blood oxygen saturation (sO2) in vivo. However, making accurate sO2 measurements without knowledge of tissue- and instrumentation-related correction factors is extremely challenging. We have developed a low-cost flow phantom system to facilitate validation of photoacoustic tomography systems. The phantom is composed of a flow circuit, which is partially embedded within a tissue mimicking phantom, with independent sensors providing online monitoring of the optical absorption spectrum and partial pressure of oxygen in the tube. We first establish the flow phantom using two small molecule dyes that are frequently used for photoacoustic imaging: methylene blue (MB) and indocyanine green (ICG). We then demonstrate the potential of the phantom for evaluating sO2 using chemical oxygenation and deoxygenation of blood in the phantom. Using this dynamic assessment of the photoacoustic sO2 measurement in phantoms in relation to a ground truth, we explore the influence of multispectral processing and spectral coloring on accurate assessment of sO2. Future studies could exploit this low-cost dynamic flow phantom to validate fluence correction algorithms and explore additional blood parameters such as pH, and also absorptive and other properties of different fluids.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1906.01483/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/1906.01483/full.md

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Source: https://tomesphere.com/paper/1906.01483