Research Overview

MCFLIRT is an intra-modal motion correction tool designed for use on fMRI time series and based on optimization and registration techniques used in FLIRT, a fully automated robust and accurate tool for linear (affine) inter- and inter-modal brain image registration.

If you use MCFLIRT in your research, please quote the journal reference:

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.

How it works

MCFLIRT loads the time-series in its entirity and will default to the middle volume as an initial template image. A coarse 8mm search for the motion parameters is then carried out using the cost function specified followed by two subsequent searches at 4mm using increasingly tighter tolerances. All optimizations use trilinear interpolation.

As part of the initial 8mm search, an identity transformation is assumed between the middle volume and the adjacent volume. The transformation found in this first search is then used as the estimate for the transformation between the middle volume and the volume beyond the adjacent one. This scheme should lead to much faster optimization and greater accuracy for the majority of studies where subject motion is minimal. In the pathalogical cases, this scheme does not penalise the quality of the final correction.

If mean registration is used, the curent motion correction parameters are applied to the time-series, the volumes are averaged to create a new template image and the same 3-stage correction is carried out using this new mean image as a template.

Finally, if a 4-stage correction has been specified, a further optimization pass is carried out using sinc interpolation (internally) for greater accuracy. This step is significantly more time-consuming than the previous part of the correction, which should take in the order of 10 minutes for a 100 volume timeseries. This internal interpolation is independent of the final resampling interpolation (as specified by sinc_final or spline_final).

The scheme has the added advantage of `sensible' handling of the end slices in a volume. In other schemes, voxels which move out of the Field of View (FOV) due to (often slight) movement of the head are either excluded from further calculations or treated as zero-value. In order to retain as much useful information in the data as possible, the volumes are padded by doubling the first and last slices in the z-plane so that we can interpolate from locations outside the FOV using appropriate values.

Usage and options

mcflirt -in <infile> [options]

Available options are:

-out, -o

default is infile_mcf


{mutualinfo,woods,corratio,normcorr,normmi,leastsquares} : default is normcorr


default is 256


default is 6


default is middle volume


default is 6.0


default is 1.0 - controls smoothing in cost function


specify scaling factor for rotation optimization tolerances


0 is least and default


default is 3. 4 specifies final (internal) sinc interpolation


initial transform matrix to apply to all vols


run search on gradient images


run search on contour images


register timeseries to mean volume (overrides -refvol option)


produce variance and std. dev. images


applies final transformations (resampling) using sinc interpolation


applies final transformations (resampling) using spline interpolation


save transformation matricies in subdirectory outfilename.mat


save transformation parameters in file outputfilename.par


report progress to screen


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MCFLIRT (last edited 12:21:21 30-09-2015 by MatthewWebster)