Functional Magnetic Resonance Imaging Processing /

Functional Magnetic Resonance Imaging Processing /

Bibliographic Details
Main Author: Li, Xingfeng. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Subjects:
Neurosciences.
Optical data processing.
Statistics .
Cognitive psychology.
Radiology.
Physics.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Statistics and Computing/Statistics Programs.
Cognitive Psychology.
Imaging / Radiology.
Numerical and Computational Physics, Simulation.
Table of Contents:
  • Preface
  • MRI perfusion weighted imaging analysis
  • Perfusion imaging
  • Gamma-variate fitting
  • AIF selection
  • Dispersion effects in DSC-MRI
  • -Summary of the PWI algorithm
  • First level fMRI data analysis for activation detection
  • fMRI experimental design
  • fMRI data pre-processing
  • Activation detection: model free and model based methods
  • Models for hemodynamic response function and drift
  • General linear model (GLM) for activation detect
  • Hypothesis test and threshold correction
  • Summary of algorithm for 1st level fMRI data analysis
  • 2nd level fMRI data analysis using mixed model
  • Mixed model for fMRI data analysis
  • Numerical analysis for mixed effect models
  • Iterative trust region method for ML estimation
  • Exception trust region algorithm for second level fMRI data analysis
  • Degree of freedom (DF) estimation
  • fMRI data analysis future directions
  • Second level fMRI data processing algorithm summary.-  fMRI effective connectivity study
  • Nonlinear system identification method for fMRI effective connectivity analysis
  • Model selections for effective connectivity study
  • Robust method for second level analysis
  • Effective connectivity for resting-state fMRI data
  • Limitations for fMRI effective connectivity in this study
  • Summary of the algorithm for fMRI effective connectivity study.Diffusion weighted imaging analysis
  • Basic principle of diffusion MRI and DTI data analysis
  • Fiber tracking
  • High angular resolution diffusion imaging (HARDI) analysis
  • Adaptive Q-ball imaging regularization
  • Diffusion spectrum imaging
  • Summary and future directions
  • Summary of DTI, QBI and DSI image analysis methods
  • Voxel based morphometry and its application to Alzheimer's disease study
  • Background for voxel based morphometry analysis
  • Enhanced VBM
  • Longitudinal VBM and its application to AD study
  • Effective connectivity for longitudinal data analysis
  • Other type of sMRI data analysis
  • Summary of (longitudinal) VBM analysis methods
  • Appendixes
  • Question answers and hints.

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