1.1.0

Special thanks to Chris Burns, Jarrod Millman and Yaroslav Halchenko.

• New feature release
• Python 3.2 support
• Substantially enhanced gifti reading support (SG)
• Refactoring of trackvis read / write to allow reading and writing of voxel
  points and mm points in tracks. Deprecate use of negative voxel sizes;
  set voxel_order field in trackvis header. Thanks to Chris Filo
  Gorgolewski for pointing out the problem and Ruopeng Wang in the trackvis
  forum for clarifying the coordinate system of trackvis files.
• Added routine to give approximate array orientation in form such as 'RAS'
  or 'LPS'
• Fix numpy dtype hash errors for numpy 1.2.1
• Other bug fixes as for 1.0.2

1.0.2

• Bugfix release
• Make inference of data type more robust to changes in numpy dtype hashing
• Fix incorrect thresholds in quaternion calculation (thanks to Yarik H for
  pointing this one out)
• Make parrec2nii pass over errors more gracefully
• More explicit checks for missing or None field in trackvis and other
  classes - thanks to Marc-Alexandre Cote
• Make logging and error level work as expected - thanks to Yarik H
• Loading an image does not change qform or sform - thanks to Yarik H
• Allow 0 for nifti scaling as for spec - thanks to Yarik H
• nifti1.save now correctly saves single or pair images

1.0.1

• Bugfix release
• Fix bugs in tests for data package paths
• Fix leaks of open filehandles when loading images (thanks to Gael
  Varoquaux for the report)
• Skip rw tests for SPM images when scipy not installed
• Fix various windows-specific file issues for tests
• Fix incorrect reading of byte-swapped trackvis files
• Workaround for odd numpy dtype comparisons leading to header errors for
  some loaded images (thanks to Cindee Madison for the report)

Release 1.0.0

• This is the first public release of the NiBabel package.
• NiBabel is a complete rewrite of the PyNifti package in pure python. It was
  designed to make the code simpler and easier to work with. Like PyNifti,
  NiBabel has fairly comprehensive NIfTI read and write support.
• Extended support for SPM Analyze images, including orientation affines from
  matlab .mat files.
• Basic support for simple MINC 1.0 files (MB). Please let us know if you
  have MINC files that we don't support well.
• Support for reading and writing PAR/REC images (MH)
• parrec2nii script to convert PAR/REC images to NIfTI format (MH)
• Very preliminary, limited and highly experimental DICOM reading support (MB,
  Ian Nimmo Smith).
• Some functions (nibabel.funcs) for basic image shape changes, including
  the ability to transform to the image with data closest to the cononical
  image orientation (first axis left-to-right, second back-to-front, third
  down-to-up) (MB, Jonathan Taylor)
• Gifti format read and write support (preliminary) (Stephen Gerhard)
• Added utilities to use nipy-style data packages, by rip then edit of nipy
  data package code (MB)
• Some improvements to release support (Jarrod Millman, MB, Fernando Perez)
• Huge downward step in the quality and coverage by the docs, caused by MB,
  mostly fixed by a lot of good work by MH.
• NiBabel will not work with Python < 2.5, and we haven't even tested it with
  Python 3. We will get to it soon...