The Physics and Mathematics of MRI

This second edition builds on that foundation with updated content and expanded coverage of recent advances in MRI hardware, pulse-sequence design, and clinical and research applications.

Magnetic resonance imaging (MRI) remains one of the most versatile and powerful diagnostic tools in modern medicine, yet its underlying physics and mathematics form a subtle and elegant synthesis of quantum mechanics, engineering principles and signal processing. The first edition of The Physics and Mathematics of MRI provided a clear, rigorous bridge between abstract theory and practical MRI applications, making it a trusted resource for physical science and engineering students entering medical physics programs. This second edition builds on that foundation with updated content and expanded coverage of recent advances in MRI hardware, pulse-sequence design, and clinical and research applications. New chapters introduce cutting-edge developments in hyperpolarisation, advanced functional imaging, cardiac MRI, deep-learning-based reconstruction methods and contemporary safety considerations – all while preserving the accessible, equation-driven exposition that defined the original text. A new section explains the mathematics of artificial intelligence (AI), and how its application can enhance multiple aspects of MRI. Whether you are an undergraduate or a graduate student, a researcher, or a clinical physicist seeking deeper understanding, this revised edition offers a comprehensive, mathematically grounded exploration of how MRI works – from the behaviour of nuclear spins to the formation of high-quality clinical images. Open the book and discover the rich scientific complexity behind every scan. Key Features:Presents a complete account of physical and mathematical principles used in MRI, including rigorous derivations of the key steps in signal generation and image formationProvides expanded and up-to-date coverage of modern MRI technologies, including advanced pulse-sequence design, hyperpolarisation, functional and cardiac MRI, deep-learning-based reconstruction and contemporary safety considerationsBridges theory, technology and clinical practice, making the book suitable as a core graduate-level text and as a reference for researchers and practising clinical MRI physicists