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A Multi-Grid Iterative Method for Photoacoustic Tomography

Javaherian, A; Holman, S; (2017) A Multi-Grid Iterative Method for Photoacoustic Tomography. IEEE Transactions on Medical Imaging , 36 (3) pp. 696-706. 10.1109/TMI.2016.2625272. Green open access

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Abstract

Inspired by the recent advances on minimizing nonsmooth or bound-constrained convex functions on models using varying degrees of fidelity, we propose a line search multi-grid (MG) method for full-wave iterative image reconstruction in photoacoustic tomography (PAT) in heterogeneous media. To compute the search direction at each iteration, we decide between the gradient at the target level, or alternatively an approximate error correction at a coarser level, relying on some predefined criteria. To incorporate absorption and dispersion, we derive the analytical adjoint directly from the first-order acoustic wave system. The effectiveness of the proposed method is tested on a total-variation penalized Iterative Shrinkage Thresholding algorithm (ISTA) and its accelerated variant (FISTA), which have been used in many studies of image reconstruction in PAT. The results show the great potential of the proposed method in improving speed of iterative image reconstruction.

Type: Article
Title: A Multi-Grid Iterative Method for Photoacoustic Tomography
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TMI.2016.2625272
Publisher version: https://doi.org/10.1109/TMI.2016.2625272
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.
Keywords: Mathematical model, Absorption, Acoustics, Image reconstruction, Iterative methods, Computational modeling, Media
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/10064560
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