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A continuous adjoint for photo-acoustic tomography of the brain

Javaherian, A; Holman, S; (2018) A continuous adjoint for photo-acoustic tomography of the brain. Inverse Problems , 34 (8) 10.1088/1361-6420/aac530. Green open access

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Abstract

We present an optimisation framework for photo-acoustic tomography of the brain based on a system of coupled equations that describe the propagation of sound waves in linear isotropic inhomogeneous and lossy elastic media with absorption and physical dispersion following a frequency power law using fractional Laplacian operators. The adjoint of the associated continuous forward operator is derived, and a numerical framework for computing this adjoint based on a k-space pseudo-spectral method is presented. We analytically show that the derived continuous adjoint matches the adjoint of an associated discretised forward operator. We include this adjoint in a first-order positivity constrained optimisation algorithm that is regularised by total variation minimisation, and show that the iterates monotonically converge to a minimiser of an objective function, even in the presence of some error in estimating the physical parameters of the medium.

Type: Article
Title: A continuous adjoint for photo-acoustic tomography of the brain
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1361-6420/aac530
Publisher version: https://doi.org/10.1088/1361-6420/aac530
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10067950
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