NiBabel

Access a cacophony of neuro-imaging file formats

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Reggie -- the one

NiBabel ManualΒΆ

  • Installation
    • Installer and packages
      • pip and the Python package index
      • Debian/Ubuntu
    • Install from source
      • Requirements
      • Get the sources
      • Installation
      • Validating your install
  • Getting Started
  • Nibabel images
    • The image object
    • The image header
    • The image data array
      • Array proxies and proxy images
      • Array images
      • Getting the image data the easy way
      • Proxies and caching
    • Loading and saving
    • Details of files and images
  • Images and memory
    • Using in_memory to check the state of the cache
    • Using uncache
    • Saving memory
      • Uncache the array
      • Use the array proxy instead of get_data()
      • Use the caching keyword to get_data()
    • Saving time and memory
  • Working with NIfTI images
    • Preliminaries
    • Example NIfTI images
    • The NIfTI header
    • The NIfTI affines
      • The sform affine
      • The qform affine
      • The fall-back header affine
      • Choosing the image affine
    • Data scaling
  • Image voxel orientation
  • Copyright and Licenses
    • NiBabel
    • 3rd party code and data
      • NetCDF
      • Sphinx autosummary extension
      • Ordereddict
      • mni_icbm152_t1_tal_nlin_asym_09a
      • Philips PAR/REC data
  • NiBabel Development Changelog
    • Releases
      • NiBabel
      • PyNifti
© Copyright 2006-2015, Matthew Brett, Michael Hanke and Eric Larson <nipy-devel@neuroimaging.scipy.org>. Created using Sphinx 1.3.3.