FMRIB Software Library

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Developer(s)FMRIB Analysis Group
Stable release
6.0.1 / 11 March 2019; 5 years ago (2019-03-11)
Written inC++, TCL
Operating systemLinux, macOS
Available inEnglish
TypeScientific visualization and image computing
LicenseCustom, non-commercial
Websitefsl.fmrib.ox.ac.uk/fsl/fslwiki/FSL
Example FSL GUIs

The FMRIB Software Library, abbreviated FSL, is a software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data.

FSL is available as both precompiled binaries and source code for Apple and PC (Linux) computers. It is freely available for non-commercial use.

FSL Functionality

Functional MRI
FEAT Model-based FMRI analysis with straightforward but powerful GUI: data preprocessing (including slice timing correction, MCFLIRT motion correction and PRELUDE+FUGUE EPI unwarping); FILM GLM timeseries analysis with prewhitening; registration to structural and/or standard space images; and fully generalised mixed-effects group analysis using advanced Bayesian techniques.
MELODIC Model-free FMRI analysis using Probabilistic Independent Component Analysis (PICA). MELODIC automatically estimates the number of interesting noise and signal sources in the data and because of the associated "noise model", is able to assign significances ("p-values") to the output spatial maps.
FLOBS Generation of optimal HRF basis functions and Bayesian activation estimation.
SMM Spatial mixture modelling – alternative hypothesis testing using histogram mixture modelling with spatial regularisation of the voxel classification into activation and non-activation.
Structural MRI
BET /

BET2

Brain Extraction Tool – segments brain from non-brain in structural and functional data, and models skull and scalp surfaces.[1]
SUSAN Nonlinear noise reduction.
FAST FMRIB's Automated Segmentation Tool – brain segmentation (into different tissue types) and bias field correction.
FLIRT FMRIB's Linear Image Registration Tool – linear inter- and intra-modal registration.[2]
FUGUE Unwarps geometric distortion in EPI images using B0 field maps.
SIENA Structural brain change analysis, for estimating brain atrophy.
Diffusion MRI
FDT FMRIB's Diffusion Toolbox – tools for low-level diffusion parameter reconstruction and probabilistic tractography.
TBSS Tract-Based Spatial Statistics (part of FMRIB's Diffusion Toolbox) – voxelwise analysis of multi-subject diffusion data.[3]
Other tools
Inference Various inference/thresholding tools, including: Randomise (permutation-based inference tool for nonparametric statistical thresholding), cluster (cluster-based thresholding using GRF theory for inference), FDR (false discovery rate inference) and Glm (a GUI for creating model design matrices).
FSLeyes Interactive display tool for 3D and 4D data.
AVWUTILS Misc utils for converting and processing images.

History and development

FSL is written mainly by members of the FMRIB (Functional Magnetic Resonance Imaging of the Brain) Analysis Group, Oxford University, UK. The first release of FSL was in 2000; there has been approximately one major new release each year to date. The FMRIB Analysis Group is primarily funded by the Wellcome Trust and the UK EPSRC and MRC Research Councils.

See also

External links

References

  1. ^ S.M. Smith. Fast robust automated brain extraction. Human Brain Mapping, 17(3):143-155, November 2002.
  2. ^ Jenkinson, M., Bannister, P., Brady, J. M. and Smith, S. M. Improved Optimisation for the Robust and Accurate Linear Registration and Motion Correction of Brain Images. NeuroImage, 17(2), 825-841, 2002.
  3. ^ S.M. Smith, M. Jenkinson, H. Johansen-Berg, D. Rueckert, T.E. Nichols, C.E. Mackay, K.E. Watkins, O. Ciccarelli, M.Z. Cader, P.M. Matthews, and T.E.J. Behrens. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, 31:1487-1505, 2006.