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Simon R. Arridge
Researcher at University College London
Publications - 602
Citations - 33776
Simon R. Arridge is an academic researcher from University College London. The author has contributed to research in topics: Iterative reconstruction & Optical tomography. The author has an hindex of 83, co-authored 582 publications receiving 30962 citations. Previous affiliations of Simon R. Arridge include University of Cambridge & University College London Hospitals NHS Foundation Trust.
Papers
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Journal ArticleDOI
Approximation errors and model reduction with an application in optical diffusion tomography
Simon R. Arridge,Jari P. Kaipio,Ville Kolehmainen,Martin Schweiger,Erkki Somersalo,Tanja Tarvainen,Marko Vauhkonen +6 more
TL;DR: In this paper, the authors review the approximation error theory and investigate the interplay between the mesh density and measurement accuracy in the case of optical diffusion tomography, showing that if the approximation errors are estimated and employed, it is possible to use mesh densities that would be unacceptable with a conventional measurement model.
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k-space propagation models for acoustically heterogeneous media: application to biomedical photoacoustics.
TL;DR: K-space methods are well suited to modeling high-frequency acoustics applications as they require fewer mesh points per wavelength than conventional finite element and finite difference models, and larger time steps can be taken without a loss of stability or accuracy.
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A gradient-based optimisation scheme for optical tomography
TL;DR: A simple means to obtain the gradient of the objective function directly is demonstrated, leading to straightforward application of gradient-based optimisation methods.
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Solving Boundary Integral Problems with BEM
TL;DR: BEM++ is a novel open-source library for the solution of boundary integral equations for Laplace, Helmholtz and Maxwell problems in three space dimensions and is a C++ library with Python bindings for all important features, making it possible to integrate the library into other C++ projects or to use it directly via Python scripts.
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The Toast++ software suite for forward and inverse modeling in optical tomography.
TL;DR: The Toast++ open-source software environment for solving the forward and inverse problems in diffuse optical tomography (DOT) contains model-based iterative inverse solvers for reconstructing the volume distribution of absorption and scattering parameters from boundary measurements of light transmission.