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Introduction
Overview of Diffusion Weighted Imaging
History of diffusion
Creating the diffusion image (diffusion gradients, bvals, and b0 images)
DTI terms (eigenvectors, eigenvalues, color coding diffusion directions, and fitting the tensor)
Drawbacks of DTI
Overview of the practical
Sources of noise in diffusion data and overview of QA
Using the command line
Viewing the data with fsleyes
bval and bvec files
Overview of the DTI preprocessing and QA script
Running the script
Looking at the denoised data
Checking the number of fixed slices
Checking the skullstripping
Overview of the TBSS script
Checking the normalization of the FA maps
Overview of the statistical model script
Looking at the statistical overlays
Using the atlas tool and running ROI analyses
Appendix A: Using MRIcroGL for DICOM conversion
Appendix B: Viewing the tensors