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AFNI, SUMA and FATCAT: v23.1.07
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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 (and afni)
6. 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. Statistics
9. Templates & Atlases
10. Non-human processing
11. Tutorials, Examples
12. Demo Material
13. Codex: AFNI Code Examples from publications
14. Citing
15. Developer Documentation
16. Contributors
17. Glossary
18. Main AFNI pages
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