Foundations of Intelligent MRI : From Spin Physics to AI Models
Language: English
Published by Blochspin, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 121.92
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book develops a rigorous, end-to-end theory of intelligent magnetic resonance imaging by unifying the physics of spin systems, the mathematics of inverse problems, and the modern machinery of artificial intelligence. Beginning from the quantum and semiclassical foundations of nuclear magnetic resonance, it builds systematically through Bloch dynamics, signal formation, Fourier encoding, image reconstruction, parameter estimation, uncertainty quantification, and the geometry of learned representations. Across the chapters, MRI is treated not simply as an imaging modality but as a layered computational-physical system in which measurements, models, and inference are inseparably linked. The book shows how classical tools such as Hilbert-space analysis, regularization theory, stochastic processes, and optimization evolve naturally into contemporary methods involving deep neural networks, graph models, generative priors, diffusion reconstruction, Bayesian inference, and operator learning. At the same time, the book argues that the future of MRI lies in systems that are not merely automated, but mathematically grounded, adaptive, and scientifically interpretable. It examines how AI can guide acquisition, reconstruction, multimodal fusion, motion correction, artifact suppression, quantitative imaging, and even agentic workflow orchestration across the entire MRI pipeline. Throughout, the emphasis remains on preserving physical consistency, clinical trustworthiness, and theoretical clarity while extending MRI into a new era of intelligent imaging. The result is a comprehensive research-level treatment of how magnetic resonance imaging is being transformed from a sequence of handcrafted procedures into a unified framework of physics-constrained, data-driven, and increasingly autonomous inference. …
Seller Inventory # 9798904174897
- Title
- Foundations of Intelligent MRI : From Spin Physics to AI Models
- Author
- Andrew Kiruluta
- Publisher
- Blochspin
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798904174897
- Item weight
- 2,005 grams
- Dimensions
- 235x157x60 mm
Building upon these physical foundations, the book transitions into the cutting-edge intersection of medical imaging and artificial intelligence. It introduces a framework for "intelligent" MRI reconstruction, integrating concepts from causal representation learning, Bayesian inverse problems, and robust AI geometry. By bridging the gap between classical signal processing and modern machine learning—specifically referencing causal inference and disentangled representations—the manuscript outlines a future for medical diagnostics where image reconstruction is not only data-driven but also physically consistent and causally aware.
"Synopsis" may belong to another edition of this title.
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