.. -*- mode: rst -*-
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.. _changelog:

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 people found in the AUTHOR file.

* 0.9.1 (Wednesday, 18 March 2015)

* Anatomically Constrained Tissue Classifiers for Tracking
* Massive speedup of Constrained Spherical Deconvolution (CSD)
* Recursive calibration of response function for CSD
* New experimental framework for clustering
* Improvements and 10X speedup for Quickbundles
* Improvements in Linear Fascicle Evaluation (LiFE)
* New implementation of Geodesic Anisotropy 
* New efficient transformation functions for registration
* Sparse Fascicle Model supports acquisitions with multiple b-values


* 0.8.0 (Tuesday, 6 Jan 2015)

* Nonlinear Image-based Registration (SyN)
* Streamline-based Linear Registration (SLR)
* Linear Fascicle Evaluation (LiFE)
* Cross-validation for reconstruction models
* Sparse Fascicle Model (SFM)
* Non-local means denoising (NLMEANS)
* New modular tracking machinery
* Closed 388 issues and merged 155 pull requests
* A variety of bug-fixes and speed improvements

* 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 (Descoteaux 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
