Advanced Image Processing in Magnetic Resonance Imaging
eBook - PDF

Advanced Image Processing in Magnetic Resonance Imaging

  1. 632 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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.

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Yes, you can access Advanced Image Processing in Magnetic Resonance Imaging by Luigi Landini, Vincenzo Positano, Maria Santarelli, Luigi Landini,Vincenzo Positano,Maria Santarelli in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Optics & Light. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Preface
  3. Contributors
  4. Contents
  5. 1. Basic Physics of MR Signal and Image Generation
  6. 2. Advanced Image Reconstruction Methods in MRI
  7. 3. Parallel MRI: Concepts and Methods
  8. 4. Estimation of Signal and Noise Parameters from MR Data
  9. 5. Retrospective Evaluation and Correction of Intensity Inhomogeneity
  10. 6. Noise Filtering Methods in MRI
  11. 7. Image Registration Methods in MRI
  12. 8. Multimodal Integration: fMRI, MRI, EEG,and MEG
  13. 9. A Survey of Three-Dimensional Modeling Techniques for Quantitative Functional Analysis of Cardiac Images
  14. 10. MRI Measurement of Heart Wall Motion
  15. 11. Principles of MR Spectroscopy and Chemical Shift Imaging
  16. 12. Data Processing Methods in MRS
  17. 13. Image Processing of Diffusion Tensor MRI Data
  18. 14. Analysis of Dynamic Magnetic Resonance Elastography Data
  19. 15. Fundamentals of Data Analysis Methods in Functional MRI
  20. 16. Exploratory Data Analysis Methods in Functional MRI
  21. 17. Classical and Bayesian Inference in fMRI
  22. 18. Modeling and Nonlinear Analysis in fMRI via Statistical Learning
  23. 19. Assessment of Cerebral Blood Flow, Volume, and Mean Transit Time from Bolus-Tracking MRI Images: Theory and Practice
  24. Index