Advanced Image Processing in Magnetic Resonance Imaging

Description

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.

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

INDEX

Related Subjects

1. Image Processing
2. Optics, Lasers & Photonics
3. Image Processing
4. Optics & optoelectronics