Neural networks to solve forward and inverse problems in diffuse reflectance spectroscopy

Qing Lan; Ryan McClarren; Karthik Vishwanath

doi:10.1117/12.2610530

2 March 2022 Neural networks to solve forward and inverse problems in diffuse reflectance spectroscopy

Qing Lan, Ryan McClarren, Karthik Vishwanath

Proceedings Volume 12019, AI and Optical Data Sciences III; 120190L (2022) https://doi.org/10.1117/12.2610530
Event: SPIE OPTO, 2022, San Francisco, California, United States

Abstract

Our work applies neutral networks to solving forward and inverse problems in diffuse reflectance spectroscopy. Firstly, a neural network forward model is trained with Monte Carlo data so as to predict diffuse reflectance from given optical parameters. Secondly, an inverse model based on the neural network forward model is built to solve for optical parameters from diffuse reflectance, modified from the traditional Monte Carlo-based inverse model. Validation of our inverse model on experimentally measured phantom data is investigated.

Conference Presentation

Citation Download Citation

Qing Lan, Ryan McClarren, and Karthik Vishwanath "Neural networks to solve forward and inverse problems in diffuse reflectance spectroscopy", Proc. SPIE 12019, AI and Optical Data Sciences III, 120190L (2 March 2022); https://doi.org/10.1117/12.2610530

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