Dear all,
thank you so much for all your help and comments, I hope it's not only highly appreciated by me :) I have though a little problem implementing some of this:
I did the following to do the normalisation:
compute standard deviation of res4d:
fslmaths res4d -Tstd std_res4d_tmp -odt float
normalise res4d:
fslmaths res4d -div res4d_SD_norm -odt float (extract also seed ROI timeseries from this one)
add single mean value to generate input to feat:
fslmaths mask -mul 10000 -add res4d_SD_norm res4d_SD_norm_input -odt float
there's then an error when running feat at the FILM stage:
Completed
Tukey M = 12
Tukey estimates... Completed
Completed
Prewhitening and Computing PEs...
Percentage done:
An exception has been thrown
Runtime error:- detected by Newmat: process fails to converge
MatrixType = Rect # Rows = 2; # Cols = 2
Trace: SVD; pinv.
Error: FILM did not complete - it probably ran out of memory
I guess there's something wrong with the input image, probably with the scaling?
Can someone comment on this?
Thanks again very much in advance!
Torsten
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