Coupled Physics Imaging with Sound and Light - Deterministic and Stochastic Approaches

Explore coupled physics imaging techniques using sound and light in this comprehensive seminar talk. Delve into deterministic and stochastic approaches for PhotoAcoustic Tomography (PAT) and Ultrasound Modulated Acoustic Tomography (UMOT). Learn about various methods developed for tackling these problems, including Compressed Sensing, Machine Learning, and a fully stochastic inversion algorithm. Gain insights into modeling optical tomography, light propagation using Monte Carlo approaches, and mathematical models for photoacoustic reconstruction. Examine wave propagation examples, inversion techniques by time reversal, and the adjoint operator method. Discover the applications of spatio-temporal regularization and deterministic reconstruction based on the Radiative Transfer Equation (RTE). Investigate quantitative PhotoAcoustic Tomography and the principles of Fully Stochastic Reconstruction (FSR). Conclude with an outlook on future developments in coupled physics imaging.