Hi, I am using flirt for standard space mapping in my analyses. The way I have set it up is as follows: All single-subject time series (4D) are in NifTI format, the time series averages (3D) are called *NatAverage.nii, and the statistic images (in native space) are all called Nat*.nii. I align the *NatAverage.nii file to the template $TEMPL (which in this case is EPI.nii) and then use that transformation to apply to all the other Nat*.nii files as well. The bash scripting bit that does the jobe looks like this for PREFIX in PREFIXES; do # all Nat's except NatAverage NATS=${PREFIX}Nat[BMNSV]*.nii echo "computing standard space mapping" ${FLIRT} \ -in ${PREFIX}NatAverage.nii -ref ${TEMPL} \ -out ${PREFIX}StdAverage.nii -omat ${PREFIX}Affine.txt \ -bins 256 -cost corratio -dof 12 \ -searchrx -90 90 -searchry -90 90 -searchrz -90 90 \ -interp sinc -sincwidth 7 -sincwindow hanning echo "applying standard space mapping" for NAT in $NATS; do printf "." # use FLIRT to apply transformation to other Nat files ${FLIRT} -in ${NAT} -ref ${TEMPL} -out ${NAT//Nat/Std} \ -applyxfm -init ${PREFIX}Affine.txt \ -interp sinc -sincwidth 7 -sincwindow hanning done printf "\n" done And it works... but it is amazingly slow for the second part (the -applyxfm bit). It almost seems that flirt starts the registration all over again. I assumed that the other *Nat.nii images would just be resampled using the transformation parameters in *Affine.txt. That is correct, is it? Is there any way to speed up the process? Changing the interpolation to linear seems to have only a marginal effect. Resampling a 90x100x90 volume should be done well inside a second? Thanks for any hints Alle Meije