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Fiber Navigator Changelog

What's new in Fiber Navigator Nov 13, 2015

Feb 20, 2018
  • Various improvements:
  • Fixed direction initialization error when using RT-HARDI tracking.
  • Fibernavigator with advanced rendering options such as:
  • -Orientation-dependent opacity rendering of fibers (Tax et al. 2015, PLoS ONE)
  • -Real-time fiber tractography (Chamberland et al. 2014, Frontiers in Neuroinformatics)
  • -Real-time resting-state fMRI (Chamberland et al. 2015, ISMRM Toronto)
  • -Tractography-driven resting-state fMRI (Chamberland et al. 2015, Frontiers in Neuroscience)
  • Easy step-by-step guide for opacity-rendering:
  • Load fa.nii (see exampleData.zip)
  • Load subsamp.tck (streamlines dataset)
  • Click on top menu "fibers -> use transparent fibers"
  • The different menu option (alpha values, local vs global modes, opacity functions, etc) can be found on the properties panel of the streamlines dataset.
  • Easy step-by-step guide for real-time fiber tractography:
  • https://www.youtube.com/watch?v=UDFpvyrXNyA
  • http://chamberm.github.io/dMRItutorials.html
  • Easy step-by-step guide for real-time resting-state fMRI:
  • http://chamberm.github.io/fMRItutorials.html

New in Fiber Navigator f31251a96a (Mar 26, 2014)

  • Various fixes and improvements to the fiber loading mecanisms.

New in Fiber Navigator Revision 1771 (Mar 2, 2013)

  • Added the possibility to force the loading of a nifti file as peaks. This helps loading a 5 peaks file, which looks exactly the same as a fourth order ODF file. To use this, use the File Menu->Load Anatomy as Peaks

New in Fiber Navigator Revision 1728 (Nov 21, 2012)

  • Fixed a problem when loading anatomies that had the same voxel sizes up to an EPSILON difference

New in Fiber Navigator Revision 1725 (Nov 19, 2012)

  • Now supports Realtime tracking from HARDI data, using the maxima extracted from a fODF field
  • Fixed the way cut boxes are computed
  • Fixed a few small bugs

New in Fiber Navigator Revision 1669 (Oct 19, 2012)

  • Better Realtime tracking using the Diffusion Tensors
  • Faster maxima extraction for the ODFs
  • Possibility to save and load maxima files