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The book "Adaptive Regularization for Accelerated MRI Reconstruction" by Susan Mathew provides a comprehensive overview of adaptive regularization methods for image reconstruction in accelerated MRI. The book starts with an introduction to the concept of MRI and the challenges faced in accelerated MRI due to the trade-off between image quality and acquisition time. The author then discusses various regularization techniques and how they can be adapted for use in MRI reconstruction. The book delves into the mathematical principles behind these techniques and provides practical examples to demonstrate their effectiveness in improving image quality and reducing artifacts. The author also explores the advantages and limitations of each technique, helping readers choose the appropriate method for their specific needs. This book will be useful for students, researchers, and professionals in the field of MRI and medical imaging who want to learn more about the latest developments in adaptive regularization techniques for image reconstruction in accelerated MRI. It will also be valuable for those working in related fields such as signal processing, computer vision, and machine learning.