Real-time assessment of liver fat content using a filter-based Raman system operating under ambient light through lock-in amplification

使用基于滤波器的拉曼系统在环境光下通过锁定放大实时评估肝脏脂肪含量

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作者:Hao Guo, Alexey B Tikhomirov, Alexandria Mitchell, Ian Patrick Joseph Alwayn, Haishan Zeng, Kevin C Hewitt

Abstract

During liver procurement, surgeons mostly rely on their subjective visual inspection of the liver to assess the degree of fatty infiltration, for which misclassification is common. We developed a Raman system, which consists of a 1064 nm laser, a handheld probe, optical filters, photodiodes, and a lock-in amplifier for real-time assessment of liver fat contents. The system performs consistently in normal and strong ambient light, and the excitation incident light penetrates at least 1 mm into duck fat phantoms and duck liver samples. The signal intensity is linearly correlated with MRI-calibrated fat contents of the phantoms and the liver samples.

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