Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance
Abstract
Forward and adjoint Monte Carlo (MC) models of radiance are proposed for use in model-based quantitative photoacoustic tomography. A 2D radiance MC model using a harmonic angular basis is introduced and validated against analytic solutions for the radiance in heterogeneous media. A gradient-based optimisation scheme is then used to recover 2D absorption and scattering coefficients distributions from simulated photoacoustic measurements. It is shown that the functional gradients, which are a challenge to compute efficiently using MC models, can be calculated directly from the coefficients of the harmonic angular basis used in the forward and adjoint models. This work establishes a framework for transport-based quantitative photoacoustic tomography that can fully exploit emerging highly parallel computing architectures.
Keywords
Cite
@article{arxiv.1608.05238,
title = {Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance},
author = {Roman Hochuli and Samuel Powell and Simon Arridge and Ben Cox},
journal= {arXiv preprint arXiv:1608.05238},
year = {2016}
}
Comments
16 pages, 6 figures