Dear all, I'm very happy to announce new release of nipype - the pipelining framework that allows you to combine FSL, SPM, FreeSurfer, Nipy and other neuroimaging packages. Among other changes (see the full list below) this release brings support for surface transformations, flash processing and flirt matrix in BBRegister.

You can get the newest version of nipype from https://github.com/nipy/nipype/zipball/0.3.4 and soon from NeuroDebian repository ( http://http://neuro.debian.net/ ). Full documentation with examples can be found at http://nipy.sourceforge.net/nipype/documentation.html

Changes since 0.3.3:

* API: hash values for float use a string conversion up to the 10th decimal place. * API: Iterables in output path will always be generated as _var1_val1_var2_val2 pairs

* ENH: Added support to nipy: GLM fit, contrast estimation and calculating mask from EPI * ENH: Added support for manipulating surface files in Freesurfer: - projecting volume images onto the surface - smoothing along the surface - transforming a surface image from one subject to another - using tksurfer to save pictures of the surface * ENH: Added support for flash processing using FreeSurfer * ENH: Added support for flirt matrix in BBRegister * ENH: Added support for FSL convert_xfm * ENH: hashes can be updated again without rerunning all nodes. * ENH: Added multiple regression design for FSL * ENH: Added SPM based Analyze to Nifti converter * ENH: Added increased support for PyXNAT * ENH: Added support for MCR-based binary version of SPM * ENH: Added SPM node for calculating various threshold statistics * ENH: Added distance and dissimilarity measurements

* BF: Diffusion toolkit gets installed * BF: Changed FNIRT interface to accept flexible lists (rather than 4-tuples) on all options specific to different subsampling levels

On behalf of the nipype team, Chris Gorgolewski