Oxford Neuroimaging Primers are a set of short, accessible textbooks focused on MRI-based neuroimaging research, published by Oxford University Press.
Introduction to Neuroimaging Analysis
Mark Jenkinson, Michael Chappell
This primer gives a general and accessible introduction to the wide array of MRI-based neuroimaging methods that are used in research. Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, it provides a practical and approachable introduction for those new to the neuroimaging field. The text also covers the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common ‘pipelines’ including brain extraction, registration and segmentation.
Introduction to Perfusion Quantification using Arterial Spin Labelling
Michael Chappell, Thomas Okell, Brad Macintosh
The aim of this primer is to equip someone new to the field of perfusion imaging and ASL with the knowledge not only to make good choices about ASL acquisition and analysis, but also to understand what choices they are making and why. Examples of analysis applied to real data are given throughout the text and instructions on how to reproduce the analyses are illustrated on the primer website.
Introduction to Resting State fMRI Functional Connectivity
Janine Bijsterbosch, Stephen Smith, Christian Beckmann
From data acquisition to interpretation of results, Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without requiring any previous knowledge of resting state fMRI, making it highly accessible to readers from a broad range of backgrounds.
Michael Chappell, Stephen Payne
An introduction to qualitative and quantitative aspects of human physiology using mathematical principles and engineering methods that will be familiar to engineers and other physical scientists.
An introduction to the principles of medical imaging that underpin all
of the major medical imaging methods. By first considering how to get
signals from within the body, and then how to turn these into images,
this book shows how mathematical and physics principles work in the
context of medical imaging.
Book review in Optics and Photonics News (August 2020)
In Brain Mapping (pp. 523–533). Elsevier
M.A Chappell & M.W. Woolrich
In Brain Mapping(pp. 509-516). Elsevier
M.W. Woolrich & M.A. Chappell
In Tumors of the Central Nervous System (11th ed.). Springer.
A. Mehndiratta, Y.K. Tee, S.J. Payne, M.A. Chappell, & F.L. Giesel.
In Atlas of Clinical Cases on Brain Tumor Imaging (pp81-91) Springer 2020
P. L Croal
Variational Bayesian inference for a non-linear forward model
Chappell MA, Groves A, Woolrich MW
Stochastic Variational Bayes
Chappell MA, Woolrich MW
Stochastic Variational Bayesian inference for a non-linear forward model
Chappell MA, Craig MS, Woolrich MW