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
The code found in Dipy was created by the people found in the AUTHOR file.
- 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
- Initial release.