MRI has emerged as a powerful way of studying in-vivo brain structure and function in both healthy and disease states. Whilst new researchers may be able to call upon advice and support for acquisition from operators, radiologists and technicians, it is more challenging to obtain an understanding of the principles of analysing neuroimaging data. This is crucial for choosing acquisition parameters, designing and performing appropriate experiments, and correctly interpreting the results. 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. As it does not require any background knowledge beyond high-school mathematics and physics, this primer is essential reading for anyone wanting to work in neuroimaging or grasp the results coming from this rapidly expanding field. 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 broad 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.

Introduction to Neuroimaging Analysis (Oxford Neuroimaging Primers)

Medical Books

Chappell, Michael

Jenkinson, Mark

Medicine

Oxford University Press

The ability to create an effective portrait is probably the single most important skill any aspiring photographer must master. Few professional photographers, whatever their area of specialization, can hope to have a successful career without ever being called upon to create a likeness of another person. The Portrait Photography Course is designed to build a student photographer’s experience and get him or her started on a rewarding career. Detailed tutorials cover every aspect of studio and location work, from composition and psychology to complex lighting schemes, equipment options, and digital retouching. Portfolios of exemplary images showcase individual photographers’ work and demonstrate techniques explored in the tutorials, while interviews with top portrait photographers shed insight into their methodologies and philosophies. Presented and written by a leading portrait photographer, this book is an indispensable guide to taking professional pictures.¿

The Portrait Photography Course

Arts & Photography

Photography & Video

Peachpit Pr

Photography Careers: Finding Your True Path

Photography Careers offers students an indispensable guide to beginning their professional journeys as photographers. This book presents the variety of career options available to those entering the competitive and comprehensive world of photography. With the insight and advice from industry mavens and the author himself, Photography Careers will help you change the way you evaluate your strengths as an artist and find your place in the photography community. Features include: <ul><li>Interviews with successful young professional photographer in a wide range of photographic specialties, from fashion photography to cinematography, and other industry related fields such as retouching, fine art sales, and photo editing</li></ul>
<ul><li>Tips for how to find unique approaches in a saturated market</li></ul>
<ul><li>Best practices for student looking at graduate programs, a budding career, and as a personal business</li></ul>

Individual Artists

Routledge

The focus is on the basics. Presented in concise, intuitive style, this guide has everything amateur photographers need to know to produce great images—whether shooting in digital or film. Best of all, each chapter includes FAQs and full-color visual examples to turn good shots into great shots. Professional photographer Mark Jenkinson shares tips and tricks for: <ul>
<li>Understanding how the features and controls affect Photographs</li> <li>Making the best use of manual, aperture priority, and shutter priority settings</li> <li>Shooting moving objects</li> <li>Shooting in bright light or nighttime settings</li> <li>Adjusting depth of field</li> <li>Improving composition and lighting</li> <li>Choosing the best format for storing digital images</li> </ul>

The Complete Idiot's Guide to Photography Essentials

Alpha

Short Introduction to MRI Physics for Neuroimaging (Oxford Neuroimaging Primer Appendices)

Okell, Thomas

Independently published

It is not necessary to understand all of the details of the algorithms used to analyse neuroimaging data. However, some understanding of the concepts that lie behind these algorithms can be helpful to be able to design good experiments, make appropriate analysis choices, and interpret results carefully. In this Short Introduction we will outline the basics of Bayesian Inference, a popular mathematical framework for data analysis and machine learning that is used in many areas of neuroimaging analysis.This text is one of a number of appendices to the Oxford Neuroimaging Primers, designed to provide extra details and information that someone reading one of the primers might find helpful, but where it is not crucial to the understanding of the main material. This appendix specifically addresses the principles that underpin Bayesian Inference, as it is used in neuroimaging. In it we seek to go into more detail than we might in one of the primers, for those who want to understand more about how Bayesian Inference can be used for data analysis. In turn, this appendix also provides a high level introduction to individuals who are interested in developing their own Bayesian Inference methods, or find they need to select between different methods in a specific application.

Short Introduction to Bayesian Inference for Neuroimaging (Oxford Neuroimaging Primer Appendices)

Woolrich, Mark

Short Introduction to the General Linear Model for Neuroimaging (Oxford Neuroimaging Primer Appendices)

Bijsterbosch, Janine

Winkler, Anderson

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Books by Jenkinson, Mark