eBook - ePub
Magnetic Resonance Image Reconstruction
Theory, Methods, and Applications
- 479 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Magnetic Resonance Image Reconstruction
Theory, Methods, and Applications
About this book
Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI.
- Explains the underlying principles of MRI reconstruction, along with the latest research<
- Gives example codes for some of the methods presented
- Includes updates on the latest developments, including compressed sensing, tensor-based reconstruction and machine learning based reconstruction
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Editor Biographies
- Introduction
- Basics of MRI Reconstruction
- Reconstruction of Undersampled MRI Data
- Reconstruction Methods for Non-linear Forward Models in MRI
- Appendix A: Linear Algebra Primer
- Index
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Yes, you can access Magnetic Resonance Image Reconstruction by Mehmet Akcakaya,Mariya Ivanova Doneva,Claudia Prieto in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Physics. We have over 1.5 million books available in our catalogue for you to explore.