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First off, thanks for creating a wonderful application! I've used the R code & found it works well. The only issue I have is the length of time pTFCE takes to execute in R. Is there a way to speed it up? Alternatively, if we could simply supply a Z-stat image & mask to MATLAB, instead of the .mat file this might also help speed things up.
Thanks again,
John
The text was updated successfully, but these errors were encountered:
Good news: we are working on the C++ implementation which will be super-fast! Feel free to follow me here, or on Twitter (@spisaktamas) to get notified about possible releases in the upcoming months.
It is possible to use the SPM Toolbox without the SPM.mat file. Have a look at the pTFCE.m source file. The pTFCE Matlab function works pretty similar to the R-function, except that it cannot estimate image smoothness (uses the values from SPM), so you have to compute the Rd and V values externally, e.g. with the R-package or with FSL's smoothest (see this link). However, I don't think that the Matlab code would be much faster than the R-implementation.
I would be glad if you could provide me some running times (together with the number of voxels in your mask), since recently I was notified about speed-issues in some cases.
Hi Tamás,
First off, thanks for creating a wonderful application! I've used the R code & found it works well. The only issue I have is the length of time pTFCE takes to execute in R. Is there a way to speed it up? Alternatively, if we could simply supply a Z-stat image & mask to MATLAB, instead of the .mat file this might also help speed things up.
Thanks again,
John
The text was updated successfully, but these errors were encountered: