
Advanced Image Processing in Magnetic Resonance Imaging
- 632 pages
- English
- PDF
- Available on iOS & Android
Advanced Image Processing in Magnetic Resonance Imaging
About this book
The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field.Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory data analysis, Bayesian inference, and nonlinear analysis. Many of the results presented in the book are derived from the contributors' own work, imparting highly practical experience through experimental and numerical methods.Contributed by international experts at the forefront of the field, Advanced Image Processing in Magnetic Resonance Imaging is an indispensable guide for anyone interested in further advancing the technology and capabilities of MR imaging.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Front Cover
- Preface
- Contributors
- Contents
- 1. Basic Physics of MR Signal and Image Generation
- 2. Advanced Image Reconstruction Methods in MRI
- 3. Parallel MRI: Concepts and Methods
- 4. Estimation of Signal and Noise Parameters from MR Data
- 5. Retrospective Evaluation and Correction of Intensity Inhomogeneity
- 6. Noise Filtering Methods in MRI
- 7. Image Registration Methods in MRI
- 8. Multimodal Integration: fMRI, MRI, EEG,and MEG
- 9. A Survey of Three-Dimensional Modeling Techniques for Quantitative Functional Analysis of Cardiac Images
- 10. MRI Measurement of Heart Wall Motion
- 11. Principles of MR Spectroscopy and Chemical Shift Imaging
- 12. Data Processing Methods in MRS
- 13. Image Processing of Diffusion Tensor MRI Data
- 14. Analysis of Dynamic Magnetic Resonance Elastography Data
- 15. Fundamentals of Data Analysis Methods in Functional MRI
- 16. Exploratory Data Analysis Methods in Functional MRI
- 17. Classical and Bayesian Inference in fMRI
- 18. Modeling and Nonlinear Analysis in fMRI via Statistical Learning
- 19. Assessment of Cerebral Blood Flow, Volume, and Mean Transit Time from Bolus-Tracking MRI Images: Theory and Practice
- Index