Advanced Image Processing in Magnetic Resonance Imaging
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Summary
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.
Table of Contents
SIGNAL AND IMAGE GENERATION AND RECONSTRUCTION
Basic Physics of MR Signal and Image Generation; M.F. Santarelli
Advanced Image Reconstruction Methods in MRI; L. Ying and Z-P. Liang
Parallel MRI: Concepts and Methods; W.E. Kyriakos and W.S. Hoge
SNR IMPROVEMENT AND INHOMOGENEITIES CORRECTION
Estimation of Signal and Noise Parameters from MR Data; A.J. den Dekker and J. Sijbers
Retrospective Evaluation and Correction of Intensity Inhomogeneity; M. Styner and K. Van Leemput
Noise Filtering Methods in MRI; L. Landini, M. Lombardi, and A. Benassi
IMAGE PROCESSING AND QUANTITATIVE ANALYSIS
Image Registration Methods in MRI; V. Positano
Multimodal Integration: fMRI, MRI, EEG, and MEG; Y.O. Halchenko, S.J. Hanson, and B.A. Pearlmutter
A Survey of Three-Dimensional Modeling Techniques for Quantitative Functional Analysis of Cardiac Images; A.F. Frangi, W.J. Niessen, M.A. Viergever, and B.P.F. Lelieveldt
MRI Measurement of Heart Wall Motion; A.A. Young
SPECTROSCOPY, DIFFUSION, ELASTICITY: FROM MODELING TO PARAMETRIC IMAGE GENERATION
Principles of MR Spectroscopy and Chemical Shift Imaging; U. Klose and F. Jiru
Data Processing Methods in MRS; L.T. Mainardi and S. Cerutti
Image Processing of Diffusion Tensor MRI Data; L. O'Donnell, S. Haker, and C-F. Westin
Analysis of Dynamic Magnetic Resonance Elastography Data; A. Manduca
BOLD CONTRAST MR IMAGING AND fMRI SIGNAL ANALYSIS
Fundamentals of Data Analysis Methods in Functional MRI; E. Formisano, F. Di Salle, and R. Goebel
Exploratory Data Analysis Methods in Functional MRI; N. Vanello and L. Landini
Classical and Bayesian Inference in fMRI; W.D. Penny and K.J. Friston
Modeling and Nonlinear Analysis in fMRI via Statistical Learning; Y.M. Wang
Assessment of Cerebral Blood Flow, Volume, and Mean Transit Time from Bolus-Tracking MRI Images: Theory and Practice; A. Bertoldo, F. Zanderigo, and C. Cobelli
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