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20092023
most citedModel based learning for accelerated, limited-view 3D photoacoustic tomography

347 citations · 1.1k across the 38 of their papers we have counts for

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physics.med-ph2021

Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions

Zeljko Kereta, Robert Twyman, Simon Arridge +2

Expectation-maximization (EM) is a popular and well-established method for image reconstruction in positron emission tomography (PET) but it often suffers from slow convergence. Or…

physics.med-ph2019

Penalized PET/CT Reconstruction Algorithms with Automatic Realignment for Anatomical Priors

Yu-Jung Tsai, Alexandre Bousse, Simon Arridge +3

Two algorithms for solving misalignment issues in penalized PET/CT reconstruction using anatomical priors are proposed. Both approaches are based on a recently published joint moti…

physics.med-ph2016★ 52 cited

Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance

Roman Hochuli, Samuel Powell, Simon Arridge +1

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 b…

physics.med-ph2015★ 13 cited

Reconstruction-classification method for quantitative photoacoustic tomography

Emma Malone, Samuel Powell, Ben T. Cox +1

We propose a combined reconstruction-classification method for simultaneously recovering absorption and scattering in turbid media from images of absorbed optical energy. This meth…

physics.med-ph2014★ 10 cited

Gradient-based quantitative image reconstruction in ultrasound-modulated optical tomography: first harmonic measurement type in a linearised diffusion formulation

Samuel Powell, Simon R. Arridge, Terence S. Leung

Ultrasound-modulated optical tomography is an emerging biomedical imaging modality which uses the spatially localised acoustically-driven modulation of coherent light as a probe of…