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Professor Michael Chappell

Associate Professor of Engineering Science. Director of Training Oxford-Nottingham CDT in Biomedical Imaging

Contact

Phone: (+44 1865) 617 657
Mailing address: Institute of Biomedical Engineering, Old Road Campus Research Building, University of Oxford, Oxford OX3 7DQ, UK
 

Prof. Michael Chappell is an Associate Professor of Engineering Science at the Institute of Biomedical Engineering (IBME), Department of Engineering Science, University of Oxford. He is the Director of Training for the Oxford-Nottingham Centre for Doctoral Training in Biomedical Imaging. He is also Governing Body Fellow of Wolfson College and a College Lecturer (tutor) at Trinity College.

Michael heads the Quantitative Biomedical Inference group that brings together inference techniques from information engineering with mathematical models of physics and physiology to estimate quantitative information for biomedical and especially clinical applications. His main interest is in medical imaging of metabolism and haemodynamics, working closely with imaging groups at the FMRIB Centre, OxAVIC and in the Department of Oncology. Michael is currently the Image Analysis Theme lead for the Cancer Imaging Centre in Oxford.

Michael remains part of the Analysis group at the Oxford Centre for Functional MRI of the Brain (FMRIB) and works closely with the physics group there on quantification of metabolism using MRI. As a result of this work Michael was appointed to a Junior Fellowship of the International Society of Magnetic Resonance in Medicine in 2010.

Michael read Engineering Science in Oxford at undergraduate level (1999-2003), specializing in information engineering topics. He then completed his doctorate in the same department (2003-2006), primarily using mathematical models to explore the growth of bubbles from dissolved gases under decompression in the body - a topic of particular relevance to SCUBA divers, where the resulting sickness is commonly referred to as 'the bends'. Subsequently he moved to the FMRIB Centre (2006-2009) to work on the quantification of cerebral perfusion using Arterial Spin Labelling MRI. Before his current appointment he was a senior research associate in the Centre of Excellence in Personalized Healthcare (2009-2012), based at the IBME. During this time he was Deputy Group leader for PUMMA and worked on the quantification of MRI data for use in personalized stroke therapy planning.

Publications

A list of Michael's papers can be found on the publications page of QuBIC website. You can also find a list complied by Google Scholar here.

Books (and chapters)

Oxford Neuroimaging Primer ASL  Oxford Neuroimaging Primer RS

Oxford Neuroimaging Primers, M. Chappell & M. Jenkinson (Eds.), OUP.

 www.neuroimagingprimers.org 

The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a thorough understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition and interpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.

Book cover

Physiology for Engineers, M. Chappell & S. Payne, Springer.

    • ISBN 978-3-319-26197-3

www.physiologyforengineers.org

An introduction to qualitative and quantitative aspects of human physiology. Covering a number of biological and physiological processes and phenomena, including a selection of mathematical models, showing how physiological problems can be mathematically formulated and studied. Illustrating how a wide range of engineering and physics topics, including electronics, fluid dynamics, solid mechanics and control theory can be used to describe and understand physiological processes and systems.  

 

Variational Bayes. M.A Chappell & M.W. Woolrich
In Brain Mapping (pp. 523–533). Elsevier. doi:10.1016/B978-0-12-397025-1.00327-4
 Bayesian Model Inversion. M.W. Woolrich & M.A. Chappell
In Brain Mapping(pp. 509-516). Elsevier. doi:10.1016/B978-0-12-397025-1.00325-0
An Introduction to Brain Tumor Imaging. A. Mehndiratta, Y.K. Tee, S.J. Payne, M.A. Chappell, & F.L. Giesel.
In Tumors of the Central Nervous System (11th ed.). Springer. doi:10.1007/978-94-007-7037-9_1

 

Thesis

Michael thesis on Decompression Sickness can be accessed here: Modelling and Measurement of Bubbles in Decompression Sickness, M. A. Chappell, University of Oxford, 2006.