The following links will take you to the online examples that go with the example boxes in the ‘Introduction to Neuroimaging Analysis’ primer:
- Getting Started
- Section 2.2.4: MRI artifacts
- Section 2.3.2: Viewing diffusion images
- Section 3.2.3: Tissuetype segmentation
- Section 3.2.4: Deep gray matter structure segmentation
- Section 3.3.4: Correcting for distortions and artifacts in diffusion images
- Section 3.3.5: DTI
- Section 3.3.6: TBSS
- Section 3.3.7: Tractography
- Section 3.4.6: Physiological noise modelling (coming soon)
- Section 3.4.6: Independent component classification
- Section 3.4.9: Task fMRI data
- Section 3.4.10: Resting state fMRI networks
- Section 4.2: Brain extraction
- Section 4.3: Brain masks
- Section 4.5: Troubleshooting brain extraction
- Section 5.1.3: Spatial Transformations
- Section 5.2: Registration
- Section 5.4: Registration case studies
- Section 6.2.2: Distortion correction with fieldmaps
- Section 6.2.3: Distortion correction with blip-up-blip-down data
- Appendix A: Learning anatomy with digital atlases