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Prof. Simon Arridge

UCL Centre for Medical Image Computing

3rd Floor, Charles Bell House

67 Riding House Street




Simon Arridge’s research interests primarily lie in the area of tomography in medical imaging, specifically the application of inverse problem techniques to image reconstruction. Inverse problems can be linear or non-linear and either well posed or ill-posed. Ill-posed inverse problems usually require regularisation techniques which can be placed within the general frame work of Bayesian estimation, where the assumed prior distribution of the image under consideration plays the role of a penalty term in a constrained or unconstrained posterior probability optimisation.