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AFNI, SUMA and FATCAT: v24.3.00
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7.
FATCAT
7.
FATCAT
¶
7.1.
FATCAT Commands
7.1.1. Overview
7.1.2. Demo data sets and scripts
7.1.3. Other: preprocessing and HARDI considerations
7.1.4. Notation Notes
7.1.5. Citation Notes
7.2.
1dDW_Grad_o_Mat++: dealing with DW gradients
7.2.1. Overview
7.2.2. Operations
7.3.
@GradFlipTest: checking on gradient flips
7.3.1. Overview
7.3.2. Picturing the effect of flipping
7.3.3. Using
@GradFlipTest
7.3.4. Combining with
1dDW_Grad_o_Mat++
(or
fat_proc
functions)
7.3.5. Caveats with
@GradFlipTest
7.4.
3dROIMaker: making (networks of) ROIs
7.4.1. Overview
7.4.2. Operation
7.4.3. Using anatomical tissues and diffusion maps
7.4.4. Connectome Parcellation
7.5.
3dTrackID: making tracts
7.5.1. Overview
7.5.2. Modus operandi
7.5.3. Outputs common to all modes
7.5.4. Outputs specific to
{DET|MINIP}
modes
7.5.5. Viewing tracked outputs
7.5.6. Inputs for tracking
Table of Contents
1. Installation and Background
2. Starting with AFNI
3. Educational resources
4. All program helps
5. AFNI GUI (afni)
6. SUMA GUI (suma)
7. FATCAT
7.1.
FATCAT Commands
7.2.
1dDW_Grad_o_Mat++: dealing with DW gradients
7.3.
@GradFlipTest: checking on gradient flips
7.4.
3dROIMaker: making (networks of) ROIs
7.5.
3dTrackID: making tracts
8. NIFTI
9. Statistics
10. Templates & Atlases
11. Non-human processing
12. Tutorials, Examples
13. Demo Material
14. Codex: AFNI Code Examples from publications
15. Citations and Reference Works
16. Developer Documentation
17. Contributors
18. Glossary
19. Main AFNI pages
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