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Dipy Development Changelog

Dipy is a diffusion MR imaging library written in Python

'Close gh-' statements refer to GitHub issues that are available at:

http://github.com/nipy/dipy/issues

The full VCS changelog is available here:

http://github.com/nipy/dipy/commits/master

Releases

Dipy

The code found in Dipy was created by the following people: Eleftherios Garyfallidis, Matthew Brett, Bago Amirbekian, Ian Nimmo-Smith, Ariel Rokem, Stefan van der Walt, Maxime Descoteaux, Yaroslav Halchenko, Emanuele Olivetti, Michael Paquette, Samuel St-Jean, Endolith, Maria Luisa Mandelli, Mauro Zucchelli, Gabriel Girard, Matthieu Dumont, Kimberly Chan, Erik Ziegler, Emmanuel Caruyer, Matthias Ekman, Jean-Christophe Houde, Sylvain Merlet and Christopher Nguyen.

  • 0.7.1 (Thursday, 16 Jan 2014)
  • Made installing Dipy easier and more universal
  • Fixed automated seeding problems for tracking
  • Removed default parameter for odf_vertices in EuDX
  • 0.7.0 (Monday, 23 Dec 2013)
  • Constrained Spherical Deconvolution (CSD)
  • Simple Harmonic Oscillator based Reconstruction and Estimation (SHORE)
  • Sharpening Deconvolution Transform (SDT)
  • Signal-to-noise ratio estimation
  • Parallel processing enabled for all reconstruction models using peaks_from_model
  • Simultaneous peak and ODF visualization
  • Streamtube visualization
  • Electrostatic repulsion for sphere generation
  • Connectivity matrices and density maps
  • Streamline filtering through specific ROIs using target
  • Brain extraction and foreground extraction using median_otsu
  • RESTORE fitting for DTI
  • Westin's Tensor maps
  • Access to more publicly available datasets directly through Dipy functions.
  • 3x more tutorials than previous release
  • 0.6.0 (Sunday, 24 Mar 2013)
  • Cython 0.17+ enforced
  • New reconstruction models API
  • Diffusion Spectrum Imaging (DSI)
  • DSI with deconvolution
  • Generalized Q-sampling Imaging 2 (GQI2)
  • Modular fiber tracking
    • deterministic
    • probabilistic
  • Fast volume indexing (a faster ndindex)
  • Spherical Harmonic Models
    • Opdt (Tristan-Vega et. al)
    • CSA odf (Aganj et. al)
    • Analytical Q-ball (Descoteuax et. al)
    • Tuch's Q-ball (Tuch et. al)
  • Visualization of spherical functions
  • Peak finding in odfs
  • Non-linear peak finding
  • Sphere Object
  • Gradients Object
  • 2D sphere plotting
  • MultiTensor and Ball & Sticks voxel simulations
  • Fetch/Download data for examples
  • Software phantom generation
  • Angular similarity for comparisons between multiple peaks
  • SingleVoxelModel to MultiVoxelModel decorator
  • Mrtrix and fibernavigator SH bases
  • More Benchmarks
  • More Tests
  • Color FA and other Tensor metrics added
  • Scripts for the ISBI 2013 competition
  • Fit_tensor script added
  • Radial basis function interpolation on the sphere
  • New examples/tutorials
  • 0.5.0 (Friday, 11 Feb 2011)
    • Initial release.
      • Reconstruction algorithms e.g. GQI, DTI
      • Tractography generation algorithms e.g. EuDX
      • Intelligent downsampling of tracks
      • Ultra fast tractography clustering
      • Resampling datasets with anisotropic voxels to isotropic
      • Visualizing multiple brains simultaneously
      • Finding track correspondence between different brains
      • Reading many different file formats e.g. Trackvis or Nifti
      • Dealing with huge tractographies without memory restrictions
      • Playing with datasets interactively without storing
      • And much more and even more to come in next releases