10. Tutorials, Examples¶
- 10.1. Self Guided Demo Scripts
- 10.2. AFNI GUI features
- 10.3. AFNI general behavior
- 10.4. APQC: afni_proc.py quality control
- 10.5. FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
- 10.5.1. Background and additional software
- 10.5.2. General fat_proc script properties
- 10.5.3. Pre-preproc, I: convert and niceify
- 10.5.4. Pre-preproc, II: examine and filter
- 10.5.5. Preproc: FreeSurfer (+ @SUMA_Make_Spec_FS)
- 10.5.6. Preproc: TORTOISE
- 10.5.7. Post-preproc, I: tensor estimation and checking
- 10.5.8. Post-preproc, II: mapping ROIs to DTI space
- 10.5.9. Post-preproc, III: ROI map preparation
- 10.5.10. Post-preproc, IV: Tracking
- 10.6. FATCAT Visualization
- 10.7. Walnut Brain
- 10.8. Drawing ROIs
- 10.9. Cluster Explorer
- 10.10. FATCAT Matrix Plot
- 10.11. 3dMVM Validator
- 10.12. Automatic Images
- 10.13. Sound features in AFNI
- 10.14. Working with ROIs
- 10.15. Using FreeSurfer
- 10.16. Reface and Deface datasets