Radiance Technologies Inc, 310 Bob Heath Dr., Huntsville, AL, 35805, USA.
Air Force Research Laboratory, 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division, JBSA Fort Sam Houston, 4141 Petroleum Road, San Antonio, TX, 78234, USA.
Sci Rep. 2021 Mar 22;11(1):6561. doi: 10.1038/s41598-021-85994-w.
Dynamic, in vivo measurement of the optical properties of biological tissues is still an elusive and critically important problem. Here we develop a technique for inverting a Monte Carlo simulation to extract tissue optical properties from the statistical moments of the spatio-temporal response of the tissue by training a 5-layer fully connected neural network. We demonstrate the accuracy of the method across a very wide parameter space on a single homogeneous layer tissue model and demonstrate that the method is insensitive to parameter selection of the neural network model itself. Finally, we propose an experimental setup capable of measuring the required information in real time in an in vivo environment and demonstrate proof-of-concept level experimental results.
动态、活体生物组织光学特性的测量仍然是一个难以捉摸且极其重要的问题。在这里，我们开发了一种通过训练一个 5 层全连接神经网络，从组织时空响应的统计矩中反演蒙特卡罗模拟来提取组织光学特性的技术。我们在单层均匀组织模型的非常宽的参数空间上验证了该方法的准确性，并证明该方法对神经网络模型本身的参数选择不敏感。最后，我们提出了一种能够在活体环境中实时测量所需信息的实验设置，并展示了概念验证级别的实验结果。
