MRI: Essentials for Innovative Technologies

ISBN-13: 9781439840405 / Angielski / Twarda / 2012 / 216 str.

Giuseppe Placidi

Opis

MRI: Essentials for Innovative Technologies describes novel methods to improve magnetic resonance imaging (MRI) beyond its current limitations. It proposes smart encoding methods and acquisition sequences to deal with frequency displacement due to residual static magnetic field inhomogeneity, motion, and undersampling. Requiring few or no hardware modifications, these speculative methods offer building blocks that can be combined and refined to overcome barriers to more advanced MRI applications, such as real-time imaging and open systems. After a concise review of basic mathematical tools and the physics of MRI, the book describes the severe artifacts produced by conventional MRI techniques. It first tackles magnetic field inhomogeneities, outlining conventional solutions as well as a completely different approach based on time-varying gradients and temporal frequency variation coding (acceleration). The book then proposes two innovative acquisition methods for reducing acquisition time, motion, and undersampling artifacts: adaptive acquisition and compressed sensing. The concluding chapter lays out the author s predictions for the future of MRI. For some of the proposed solutions, this is the first time the reported results have been published. Where experimental data is preliminary or unavailable, the book presents only numerical solutions. Offering insight into emerging MRI techniques, this book provides readers with specialized knowledge to help them design better acquisition sequences and select appropriate correction methods. The author s proceeds from the sale of this book will be entirely donated to Bambin Gesu Children s Hospital in Rome."

Spis treści

Basic Concepts: Mathematical Tools. MRI: Conventional Imaging Techniques and Instruments. Limitations of Conventional MRI: Limiting Artifacts for Advanced Applications. Advanced Solutions: Methods for Magnetic Field Inhomogeneity Reduction. Methods to Handle Undersampling. The Future: Conclusions and perspectives. Bibliography. Index.