Principles of Medical Imaging for Engineers

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 EPSRC-MRC Centre for Doctoral Training in Biomedical Imaging. 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. Michael read Engineering Science in Oxford at undergraduate level, specializing in information engineering topics and completing a project on the detection of landmines. He stayed to complete a doctorate in SCUBA diving, primarily using mathematical models to explore the growth of bubbles from dissolved gases under decompression in the body - the resulting sickness is commonly referred to as 'the bends'. Finally he found his way into Magnetic Resonance Imaging and now develops ways to measure blood flow and pH in the body with applications in stroke, cancer and dementia. Michael is the co-author of Physiology for Engineers and is a series editor for the Oxford Neuroimaging Primers and an author of two of the primers, Introduction to Neuroimaging Analysis and Introduction to Perfusion Quantification using Arterial Spin Labelling.

• What is Medical Imaging?.- Part I: From Signals….- Basic Concepts.- Transmission: X-Rays.- Reflection : Ultrasound.- Emission: SPECT/PET.- Resonance: NMR.- Part II: …To Images.- A Revision of Frequency Analysis.- Basic Concepts.- Timing-Based Reconstruction.- Back-Projection Reconstruction: X-Ray and PET/SPECT.- Fourier Reconstruction: MRI.- Part III: Functional and Physiological Imaging.- Contrast Agents.- Tracer Kinetics.- Examples of Tracer Kinetic Methods.- Other Physiological and Functional MRI Methods.

“The well-illustrated book is written in simple language that is suitable for either an introductory course or for self-study. The math and physics prerequisites are rather minimal and well within the skill set of a typical undergraduate sophomore- or junior-level engineering student. … If I were to teach an introductory semester-long course in medical imaging, this book would be my primary choice.” (Vengu Lakshminarayanan, Optics & Photonics News, osa-opn.org, August 13, 2020)