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

机译:结合在线pO2检测和流动光谱技术开发用于光声层析成像的血液氧合体模

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摘要

Photoacoustic tomography (PAT) is intrinsically sensitive to blood oxygen saturation ( ) . However, making accurate measurements without knowledge of tissue- and instrumentation-related correction factors is extremely challenging. We have developed a low-cost flow phantom to facilitate validation of PAT systems. The phantom is composed of a flow circuit of tubing partially embedded within a tissue-mimicking material, with independent sensors providing online monitoring of the optical absorption spectrum and partial pressure of oxygen in the tube. We first test the flow phantom using two small molecule dyes that are frequently used for photoacoustic imaging: methylene blue and indocyanine green. We then demonstrate the potential of the phantom for evaluating using chemical oxygenation and deoxygenation of blood in the circuit. Using this dynamic assessment of the photoacoustic measurement in phantoms in relation to a ground truth, we explore the influence of multispectral processing and spectral coloring on accurate assessment of . 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.
机译:光声层析成像(PAT)本质上对血氧饱和度敏感()。但是,在不了解组织和仪器相关校正因子的情况下进行准确的测量是极富挑战性的。我们开发了一种低成本的流程模型,以促进PAT系统的验证。体模由部分嵌入组织模拟材料中的管道流动回路组成,具有独立的传感器,可在线监测光吸收光谱和管中氧气的分压。我们首先使用两种常用于光声成像的小分子染料测试流动模型:亚甲基蓝和吲哚菁绿。然后,我们演示了使用电路中血液的化学氧化和脱氧评估模型的潜力。利用与幻象有关的幻像中光声测量的动态评估,我们探索了多光谱处理和光谱着色对的准确评估的影响。未来的研究可能会利用这种低成本的动态流模型来验证注量校正算法,并探索其他血液参数,例如pH值以及不同液体的吸收性和其他特性。

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