UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Prof Simon Arridge
Appointment
  • Professor of Image Processing
  • Dept of Computer Science
  • Faculty of Engineering Science
  • Honorary Senior Research Associate
  • Dept of Mathematics
  • Faculty of Maths & Physical Sciences
Biography

My undergraduate degree was in Physics from Cambridge University, after which I moved to UCL Medical Physics where I completed a PhD in 1990. I moved from there directly to a lectureship in the department of Computer Science UCL where I am currently professor of image processing, and a visiting professor in the department of Mathematics. I have been a visiting scientist at the University of Eastern Finalnd, Kuopio, Finland, the Université Jean Monnet, St.Etienne, France and the Physikalisch-Technische Bundesandtalt, Berlin. I was a visiting scholar at the Mathematical Research Institute Berkeley in 2010, and at the Isaac Newton Institute special seminar on inverse problems in 2011. 

Research Summary

My interests are in Inverse Problems with particular interest in Image Reconstruction in Medical Imaging. I have been  a member of the editorial board of the Institute of Physics journal “Inverse Problems” since 2000, and Editor-In-Chief since 2015. I am widely known as the one of the originators of the field of Diffuse Optical Tomography (DOT) ,and my review papers are among the highest cited in their respective journals. Since joining CMIC in 2005 I have expanded my interests to the application of inverse problems in other medical imaging areas including Diffusion Tensor MRI, SPECT, PET and digital tomosynthesis. A common theme in several of these applications is a computational forward model based on solving the Radiative Transport Equation (RTE) or its approximations, and large scale optimisation techniques for the reconstruction problem. In addition the ill-posed nature of the inverse problem calls for sophisticated regularisation techniques based on Bayesian priors. In the majority of medical imaging modalities either the useful contrast mechanism is of low resolution, or high resolution images are of limited contrast. In the last decade there has been a growth of interest in “Imaging from Coupled Physics”, in which, rather than using the same physical field for probing and measurement, with a contrast caused by perturbation, the idea is to exploit the generation of a secondary physical field which can be measured in addition to, or without, the often dominating effect of the primary probe field. One of the most successful is Photoacoustic Tomography (PAT), with other examples including MR-EIT, Ultrasound modulated Optical Tomography, and MR elastography. I was a guest editor of a special issue of Inverse Problems on this topic in 2012. By considering the reconstructed image in PAT as the input to a second inverse problem for the optical properties of tissue led to the development of the field of Quantitative PhotoAcoustic Tomography (QPAT). 

Teaching Summary

I currently teach courses in Inverse Problems in Imaging and in Geometry of Images.

I have previously taught courses on Computer Graphics, Operating Systems, Algorithmics, Mathematical Methods, and Probability.

I have taught specialist courses in Summer Schools on Optical Tomogaphy.

Academic Background
1992 PhD Doctor of Philosophy – Computer Science University College London
1981 BA Hons Bachelor of Arts (Honours) – Natural Sciences University of Cambridge
Please report any queries concerning the data shown on this page to https://www.ucl.ac.uk/hr/helpdesk/helpdesk_web_form.php
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by