Michael Chappell is Professor of Biomedical Imaging in the Sir Peter Mansfield Imaging Centre and School of Medicine, University of Nottingham. He is also Chief Scientific Officer for Quantified Imaging and Honorary Research Fellow at the Wellcome Centre for Integrative Neuroimaging, University of Oxford. Previously he was Associate Professor of Engineering Science at the Institute of Biomedical Engineering, University of Oxford. Michael has a background in the mathematical modelling of physiology, Bayesian inference methods, machine learning techniques, and the development of image analysis algorithms. Much of his recent research has focused on the quantitative spatial mapping of physiological quantities, such as perfusion, from medical imaging devices for use in clinical research and practice. Michael read Engineering Science in Oxford, specialising in information engineering topics and completing a project on the detection of landmines. He completed a doctorate on SCUBA diving, primarily using mathematical models to explore the development of bubbles from dissolved gases under decompression in the body – the resulting sickness commonly referred to as 'the bends'. Finally, he found his way into magnetic resonance imaging, working at the interface between physical and medical sciences. Michael is co-author of Physiology for Engineers, the author of the Principles of Medical Imaging for Engineers and is a series editor for the Oxford Neuroimaging Primers.

• Part I: From Signals.- 1. Introduction.- 2. Transmission – X-rays.- 3. Reflection - Ultrasound.- 4. Emission – SPECT/PET.- 5. Resonance – Nuclear Magnetic Resonance.- Part II: To Images.- 6. Imaging.- 7. Timing-based Reconstruction - Ultrasound.- 8. Back-projection Reconstruction – X-ray and PET/SPECT.- 9. Fourier Reconstruction – MRI.- 10. Principles of Reconstruction.- Part III: And Beyond.- 11. Generating and Enhancing Contrast.- 12. Beyond Contrast: Quantitative, Physiological and Functional Imaging.-13. Image Analysis Concepts.- 14. Image Processing.- 15. Modelling.- Part IV: Reference.- 16: Optimization and Inference.- 17: Machine Learning.- Supplementary Material.- Exercise Solutions.

Michael Chappell is Professor of Biomedical Imaging in the Sir Peter Mansfield Imaging Centre and School of Medicine, University of Nottingham. He is also Chief Scientific Officer for Quantified Imaging and Honorary Research Fellow at the Wellcome Centre for Integrative Neuroimaging, University of Oxford. Previously he was Associate Professor of Engineering Science at the Institute of Biomedical Engineering, University of Oxford. Michael has a background in the mathematical modelling of physiology, Bayesian inference methods, machine learning techniques, and the development of image analysis algorithms. Much of his recent research has focused on the quantitative spatial mapping of physiological quantities, such as perfusion, from medical imaging devices for use in clinical research and practice. Michael read Engineering Science in Oxford, specialising in information engineering topics and completing a project on the detection of landmines. He completed a doctorate on SCUBA diving, primarily using mathematical models to explore the development of bubbles from dissolved gases under decompression in the body – the resulting sickness commonly referred to as 'the bends'. Finally, he found his way into magnetic resonance imaging, working at the interface between physical and medical sciences. Michael is co-author of Physiology for Engineers, the author of the Principles of Medical Imaging for Engineers and is a series editor for the Oxford Neuroimaging Primers.

• Part I: From Signals.- 1. Introduction.- 2. Transmission – X-rays.- 3. Reflection - Ultrasound.- 4. Emission – SPECT/PET.- 5. Resonance – Nuclear Magnetic Resonance.- Part II: To Images.- 6. Imaging.- 7. Timing-based Reconstruction - Ultrasound.- 8. Back-projection Reconstruction – X-ray and PET/SPECT.- 9. Fourier Reconstruction – MRI.- 10. Principles of Reconstruction.- Part III: And Beyond.- 11. Generating and Enhancing Contrast.- 12. Beyond Contrast: Quantitative, Physiological and Functional Imaging.-13. Image Analysis Concepts.- 14. Image Processing.- 15. Modelling.- Part IV: Reference.- 16: Optimization and Inference.- 17: Machine Learning.- Supplementary Material.- Exercise Solutions.

Michael Chappell is Professor of Biomedical Imaging in the Sir Peter Mansfield Imaging Centre and School of Medicine, University of Nottingham. He is also Chief Scientific Officer for Quantified Imaging and Honorary Research Fellow at the Wellcome Centre for Integrative Neuroimaging, University of Oxford. Previously he was Associate Professor of Engineering Science at the Institute of Biomedical Engineering, University of Oxford. Michael has a background in the mathematical modelling of physiology, Bayesian inference methods, machine learning techniques, and the development of image analysis algorithms. Much of his recent research has focused on the quantitative spatial mapping of physiological quantities, such as perfusion, from medical imaging devices for use in clinical research and practice. Michael read Engineering Science in Oxford, specialising in information engineering topics and completing a project on the detection of landmines. He completed a doctorate on SCUBA diving, primarily using mathematical models to explore the development of bubbles from dissolved gases under decompression in the body – the resulting sickness commonly referred to as 'the bends'. Finally, he found his way into magnetic resonance imaging, working at the interface between physical and medical sciences. Michael is co-author of Physiology for Engineers, the author of the Principles of Medical Imaging for Engineers and is a series editor for the Oxford Neuroimaging Primers.

• Part I: From Signals.- 1. Introduction.- 2. Transmission – X-rays.- 3. Reflection - Ultrasound.- 4. Emission – SPECT/PET.- 5. Resonance – Nuclear Magnetic Resonance.- Part II: To Images.- 6. Imaging.- 7. Timing-based Reconstruction - Ultrasound.- 8. Back-projection Reconstruction – X-ray and PET/SPECT.- 9. Fourier Reconstruction – MRI.- 10. Principles of Reconstruction.- Part III: And Beyond.- 11. Generating and Enhancing Contrast.- 12. Beyond Contrast: Quantitative, Physiological and Functional Imaging.-13. Image Analysis Concepts.- 14. Image Processing.- 15. Modelling.- Part IV: Reference.- 16: Optimization and Inference.- 17: Machine Learning.- Supplementary Material.- Exercise Solutions.