Hi

AFAIK you can - in theory - use the topup-derived B0-fieldmap to unwarp the 
fMRI-EPI data even with these differences in acquisition.

However I can't comment at all on how much work it will be to adapt the HCP 
scripts to make this happen.  Would need advice from others on that point.

Cheers, Steve.



> On 30 Aug 2015, at 14:05, Stevens, Michael <[email protected]> 
> wrote:
> 
> Hi folks,
>  
> I have a technical question about processing data using the HCP 3.5 pipeline 
> scripts.  We recently set up an HCP MRI data collection protocol for one of 
> my new R01s.  I just learned over the weekend that – although we did a very 
> careful job ensuring that all the sequences being used for the primary 
> experimentation were correctly configured – we made one mistake.  We added a 
> resting state scan after the rest of it was set up and mistakenly pulled the 
> wrong EPI sequence for it.  As a result, the voxel sizes and phase encoding 
> for resting state do not match the spin echo sequences we were planning to 
> use for TOPUP unwarping of our other EPI data.  Specifically, the spin echo 
> sequences are L/R and R/L encoding at 2.1 mm isotropic resolution, while the 
> EPI resting state data was collected using A/P at 3.0 mm isotropic.
>  
> So, we can process the primary fMRI task data just fine.  But, will it still 
> be possible to process the resting state data using the HCP scripts and 
> approach?  We have to use TOPUP for distortion correction as we did not 
> collect a gradient echo fieldmap scan.  I had understood that TOPUP didn’t 
> really care that much as long as you could create a valid fieldmap.  However, 
> I’ve been primarily an SPM user for my MRI research until we started using 
> the HCP approach a year ago.  So my FSL knowledge remains comparatively 
> limited and I just don’t know.
>  
> When I run the HCP scripts to try this out, the primary thing that seems to 
> go wrong is it throws an error in from the TopupPreprocessingAll.sh script 
> (line 251) when it tries to multiply the Scout by the Jacobian.nii.gz b/c 
> they’re different voxel sizes.  Otherwise it runs through to the end (we’ve 
> disabled Jacobian modulation option (so the OneStepResampling script never 
> encountered the same problem).  However, visual inspection of the results for 
> one sample dataset doesn’t look like the later processing stages got things 
> exactly right... There’s some odd distortions down near the OFC where you’d 
> expect the most amount of unwarping to be done.  I got to wondering whether 
> there was a simple L/R vs A/P incompatibility, i.e, that this won’t work at 
> all.  Or maybe more complicated... if the different voxel sizes between the 
> fieldmap and EPI might’ve put the origins of the images at different places 
> and ended up confusing the OneStepResampling step.  Or something...
>  
> I’m testing this on all these datasets now to see whether the results across 
> multiple subjects look visually OK or not.  But as I do this, it’d be great 
> if someone could tell me a simple “Yes” or “No” if I’m wasting my time with 
> this.  Even if this is possible but it requires some modifications/recoding 
> to the HCP scripts (e.g., to resample the fieldmaps to 3x3x3 resolution after 
> they’re calculated??).  I’m happy to do the latter if someone lays out for me 
> what changes might needed.
>  
> Thanks,
> Mike
>  
>  
> Michael C. Stevens, Ph.D.
> Director, Clinical Neuroscience & Development Laboratory
> Director, Child & Adolescent Research, The Institute of Living
> Associate Professor of Psychiatry (Adjunct), Yale University School of 
> Medicine
>  
>  
> 
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Stephen M. Smith, Professor of Biomedical Engineering
Head of Analysis,  Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222726  (fax 222717)
[email protected]    http://www.fmrib.ox.ac.uk/~steve 
<http://www.fmrib.ox.ac.uk/~steve>
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