We would like to announce the upcoming release of FSL3.2(beta).
Several recent changes (including the implementation of the new
nifti file format) have meant that there has been a delay in
getting this release ready. It is anticipated to be ready in
approximately two weeks' time. We apologise for the delay.
FSL3.2(beta) will contain:
- FDT (FMRIB's Diffusion Toolbox): first release of this complete
toolkit for analysis of diffusion data, including probabilistic
tractography.
- FLOBS (FMRIB's Linear Optimal Basis Functions): a new method for
finding an optimal set of HRF convolution basis functions, plus a
Bayesian estimation method for improving signal/noise separation
using these basis functions.
- SMM (Spatial Mixture Modelling): a new tool for alternative
hypothesis testing on statistic images using histogram mixture
modelling with spatial regularisation of the voxel classification
into activation and non-activation.
- Randomise: a randomisation-based inference tool for nonparametric
statistical thresholding.
- BET v2: can now estimate mesh representations of the inner and
outer skull surfaces, and outer scalp surface, for example for
use in EEG/MEG source modelling.
- NIFTI: FSL now uses the NIFTI-1 data format by default (though
can still read and write old Analyze files). All files,
including single-file NIFTI-1 images, can be read and written
in gzip compressed form, saving much disk space.
- FEAT v5.4 new features:
- Use of FLOBS (optimised HRF basis sets).
- Fixed-effects higher-level analysis (e.g. for within-subject
cross-session analysis).
- Option to prevent cleanup of standard-space first-level stats.
- User preferences file (and network-wide preferences file)
which can set FEAT preferences for loading on startup.
- Inclusion of MELODIC data exploration at the end of Pre-stats.
- Time-series (data vs model) plotting inside Featquery.
- SIENA: can now do voxelwise cross-subject statistical atrophy
analysis.
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