Skip to main content
Ctrl+K
AFQ 2.1 documentation - Home
  • User Guide
  • Developing pyAFQ
  • Bibliography
  • API Reference
  • GitHub
  • User Guide
  • Developing pyAFQ
  • Bibliography
  • API Reference
  • GitHub
Ctrl+K

Section Navigation

  • Getting started with pyAFQ
    • Tutorials: getting started with the pyAFQ Python library
      • Getting started with pyAFQ - GroupAFQ
      • Getting started with pyAFQ - ParticipantAFQ
      • Re-running pyAFQ
      • Exporting pyAFQ Results
      • Visualizing AFQ derivatives
      • How pyAFQ uses BIDS
      • Plotting Default Regions of Interest (ROIs) to Understand the Tracts
  • How To
    • How to install pyAFQ
    • How to get help using pyAFQ
    • How to cite our work
    • Organizing your data
    • Re-running pyAFQ
    • How to add custom tissue properties from another pipeline
    • Tractography from other pipelines
    • The pyAFQ docker image
    • The pyAFQ singularity image
    • The pyAFQ Image API
    • Tractography Parameters
    • Segmentation Parameters
    • Cleaning Parameters
    • How to examples
      • How to add new bundles into pyAFQ (Acoustic Radiations Example)
      • How to add new bundles into pyAFQ (SLF 1/2/3 Example)
      • BabyAFQ : tractometry for infant dMRI data
      • Delineating cerebellar peduncles
      • Using cloudknot to run pyAFQ on AWS batch:
      • AFQ with HCP data
      • How to add new bundles into pyAFQ(Optic Radiations Example)
      • Callosal bundles using AFQ API
      • Using RecoBundles for bundle recognition
      • Understanding the different stages of tractometry with videos
      • How to use Free water DTI
      • Running pyAFQ using the GPU for tractography
      • Using Subject Space ROIs from Freesurfer
      • How to segment out only some bundles
  • Explanations
    • AFQ Tractometry Pipeline
    • Bundle Orientation
    • Modeling White Matter
    • Profiling
    • Bundle Recognition
    • Tractography
  • Reference Documentation
    • API Reference
      • AFQ
        • AFQ.api
        • AFQ.data
        • AFQ.definitions
        • AFQ.models
        • AFQ.recognition
        • AFQ.tasks
        • AFQ.tractography
        • AFQ.utils
        • AFQ.viz
        • AFQ.registration
    • Defining Custom Bundle Dictionaries
    • Major Fiber Tracts
    • Tissue Properties in pyAFQ
    • The pyAFQ API methods
    • Visualization Backends
    • The pyAFQ Mapping API
    • The pyAFQ configuration file
  • User Guide
  • API Reference

AFQ#

Subpackages#

  • AFQ.api
    • AFQ.api.bundle_dict
    • AFQ.api.group
    • AFQ.api.participant
    • AFQ.api.utils
  • AFQ.data
    • AFQ.data.fetch
    • AFQ.data.utils
  • AFQ.definitions
    • AFQ.definitions.image
    • AFQ.definitions.mapping
    • AFQ.definitions.utils
  • AFQ.models
    • AFQ.models.QBallTP
    • AFQ.models.csd
    • AFQ.models.dki
    • AFQ.models.dti
    • AFQ.models.fwdti
  • AFQ.recognition
    • AFQ.recognition.cleaning
    • AFQ.recognition.criteria
    • AFQ.recognition.curvature
    • AFQ.recognition.other_bundles
    • AFQ.recognition.preprocess
    • AFQ.recognition.recognize
    • AFQ.recognition.roi
    • AFQ.recognition.utils
  • AFQ.tasks
    • AFQ.tasks.data
    • AFQ.tasks.decorators
    • AFQ.tasks.mapping
    • AFQ.tasks.segmentation
    • AFQ.tasks.tractography
    • AFQ.tasks.utils
    • AFQ.tasks.viz
  • AFQ.tractography
    • AFQ.tractography.gputractography
    • AFQ.tractography.tractography
    • AFQ.tractography.utils
  • AFQ.utils
    • AFQ.utils.bin
    • AFQ.utils.docs
    • AFQ.utils.docstring_parser
    • AFQ.utils.models
    • AFQ.utils.path
    • AFQ.utils.stats
    • AFQ.utils.streamlines
    • AFQ.utils.volume
  • AFQ.viz
    • AFQ.viz.altair
    • AFQ.viz.fury_backend
    • AFQ.viz.plot
    • AFQ.viz.plotly_backend
    • AFQ.viz.utils

Submodules#

  • AFQ.registration

Package Contents#

AFQ._ga_id = 'UA-156363454-3'[source]#

previous

API Reference

next

AFQ.api

On this page
  • Subpackages
  • Submodules
  • Package Contents
    • _ga_id
Edit on GitHub
Show Source

© Copyright 2018--, The pyAFQ Contributors.

Created using Sphinx 5.3.0.

Please Cite the following paper:
Kruper et al. (2021)