
MRI
Physics, Image Reconstruction, and Analysis
- 202 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
MRI
Physics, Image Reconstruction, and Analysis
About this book
The field of magnetic resonance imaging (MRI) has developed rapidly over the past decade, benefiting greatly from the newly developed framework of compressed sensing and its ability to drastically reduce MRI scan times. MRI: Physics, Image Reconstruction, and Analysis presents the latest research in MRI technology, emphasizing compressed sensing-based image reconstruction techniques.
The book begins with a succinct introduction to the principles of MRI and then:
- Discusses the technology and applications of T1rho MRI
- Details the recovery of highly sampled functional MRIs
- Explains sparsity-based techniques for quantitative MRIs
- Describes multi-coil parallel MRI reconstruction techniques
- Examines off-line techniques in dynamic MRI reconstruction
- Explores advances in brain connectivity analysis using diffusion and functional MRIs
Featuring chapters authored by field experts, MRI: Physics, Image Reconstruction, and Analysis delivers an authoritative and cutting-edge treatment of MRI reconstruction techniques. The book provides engineers, physicists, and graduate students with a comprehensive look at the state of the art of MRI.
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Information
Table of contents
- Cover
- Half Title
- Devices, Circuits, and Systems
- Title Page
- Copyright Page
- Frontmatter
- Table of Contents
- Preface
- Series Editor
- Editors
- Contributors
- 1 T1rho MR Imaging Principle, Technology, and Application
- 2 Recursive Reconstruction of Highly Undersampled Functional MRI Sequences
- 3 Compressed Sensing in Quantitative MRI
- 4 Parallel Magnetic Resonance Imaging
- 5 Parallel Imaging and Reconstruction
- 6 Accelerated Dynamic MRI Using Adaptive Signal Models
- 7 Diffusion MRI for Brain Connectivity Mapping and Analysis
- 8 Brain Connectivity Assessed with Functional MRI
- Index