With strong numerical and computational focus, this book serves as an essential resource on the methods for functional neuroimaging analysis, diffusion weighted image analysis, and longitudinal VBM analysis. It includes four MRI image modalities analysis methods. The first covers the PWI methods, which is the basis for understanding cerebral flow in human brain. The second part, the book’s core, covers fMRI methods in three specific domains: first level analysis, second level analysis, and effective connectivity study. The third part covers the analysis of Diffusion weighted image, i.e. DTI, QBI and DSI image analysis. Finally, the book covers (longitudinal) VBM methods and its application to Alzheimer’s disease study.
Author(s): Xingfeng Li (auth.)
Edition: 1
Publisher: Springer Netherlands
Year: 2014
Language: English
Pages: 221
Tags: Neurosciences;Computer Imaging, Vision, Pattern Recognition and Graphics;Statistics and Computing/Statistics Programs;Cognitive Psychology;Imaging / Radiology;Numerical and Computational Physics
Front Matter....Pages i-xiii
MRI Perfusion-Weighted Imaging Analysis....Pages 1-37
First-Level fMRI Data Analysis for Activation Detection....Pages 39-71
Second-Level fMRI Data Analysis Using Mixed Model....Pages 73-111
fMRI Effective Connectivity Study....Pages 113-141
Diffusion-Weighted Imaging Analysis....Pages 143-177
Voxel-Based Morphometry and Its Application to Alzheimer’s Disease Study....Pages 179-199
Back Matter....Pages 201-221
