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2 December 2016 Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance
Roman Hochuli, Samuel Powell, Simon Arridge, Ben Cox
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Journal of Biomedical Optics, Vol. 21, Issue 12, 126004 (December 2016). https://doi.org/10.1117/1.JBO.21.12.126004
Abstract
Forward and adjoint Monte Carlo (MC) models of radiance are proposed for use in model-based quantitative photoacoustic tomography. A two-dimensional (2-D) radiance MC model using a harmonic angular basis is introduced and validated against analytic solutions for the radiance in heterogeneous media. A gradient-based optimization scheme is then used to recover 2-D 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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Roman Hochuli, Samuel Powell, Simon Arridge, and Ben Cox "Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance," Journal of Biomedical Optics 21(12), 126004 (2 December 2016). https://doi.org/10.1117/1.JBO.21.12.126004
Published: 2 December 2016
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Cited by 40 scholarly publications.
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KEYWORDS
Scattering
Monte Carlo methods
Absorption
Photoacoustic tomography
3D modeling
Acquisition tracking and pointing
Inverse optics
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