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AFNI, SUMA and FATCAT: v21.0.05
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6.
FATCAT
6.
FATCAT
¶
6.1.
FATCAT Commands
6.1.1. Overview
6.1.2. Demo data sets and scripts
6.1.3. Other: preprocessing and HARDI considerations
6.1.4. Notation Notes
6.1.5. Citation Notes
6.2.
1dDW_Grad_o_Mat++: dealing with DW gradients
6.2.1. Overview
6.2.2. Operations
6.3.
@GradFlipTest: checking on gradient flips
6.3.1. Overview
6.3.2. Picturing the effect of flipping
6.3.3. Using
@GradFlipTest
6.3.4. Combining with
1dDW_Grad_o_Mat++
(or
fat_proc
functions)
6.3.5. Caveats with
@GradFlipTest
6.4.
3dROIMaker: making (networks of) ROIs
6.4.1. Overview
6.4.2. Operation
6.4.3. Using anatomical tissues and diffusion maps
6.4.4. Connectome Parcellation
6.5.
3dTrackID: making tracts
6.5.1. Overview
6.5.2. Modus operandi
6.5.3. Outputs common to all modes
6.5.4. Outputs specific to
{DET|MINIP}
modes
6.5.5. Viewing tracked outputs
6.5.6. Inputs for tracking
Table of Contents
1. Installation and Background
2. Educational resources
3. All program helps
4. Publication-based code examples
5. SUMA
6. FATCAT
6.1.
FATCAT Commands
6.2.
1dDW_Grad_o_Mat++: dealing with DW gradients
6.3.
@GradFlipTest: checking on gradient flips
6.4.
3dROIMaker: making (networks of) ROIs
6.5.
3dTrackID: making tracts
7. Statistics
8. Templates & Atlases
9. Non-human processing
10. Tutorials, Examples
11. Demo Material
12. Developer Documentation
13. References, papers and citations
14. Contributors
15. Glossary
16. Main AFNI pages
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