Hi Michael - Indeed it should not be too difficult to add the feature of specifying the b-value table for each scan and I can add this in the next version.

However, I would be a bit careful with removing different DWI volumes for different time points. The acquisition should be as consistent as possible across time points. If you find that there's a longitudinal change, would this be because there were different directions/b-values in each time point or because of an actual change in the brain? I suppose that, unless there's a systematic bias, you might expect that these changes will be in different directions for different subjects and would then average out. But it's a tricky issue.

Best,
a.y

On Fri, 1 Jul 2016, Harms, Michael wrote:


Hi Anastasia,
Looking through the trac-preproc and trac-paths scripts, it is now clear to me 
that all the time points for a given subject have to be contained/specified
within the same dmrirc configuration file in order to implement a longitudinal 
TRACULA analysis.  So, I've answered my previous question in that regard.

The challenge in our case is that we have separately pre-processed the dMRI 
data for each subject and time point, removing bad frames/volumes (using the
DTIPrep QA tool).  Thus, the bvecs/bvals are not identical for all the time 
points of a given subject.  We can specify the bvec file for each subject/time
point using the bveclist configuration parameter.  But there is no analog 
available for bvals, since only a single bvalfile can be specified.  

I see that this issue has been raised in a couple other posts relatively 
recently (2015):
https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg41737.html
https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg40007.html
but no working solution was provided at that time.

I’m wondering if there is perhaps now a development version of TRACULA that 
supports a “bvallist” capability?  If not, it doesn’t look like it would be too
difficult to modify trac-all  to include that capability (modeling after what 
is already in trac-all for the bveclist/bvecfile stuff).  But, in that case,
it isn’t immediately clear to me if there are other downstream “gotchas” in the 
preproc, paths, or stats stage specific scripts/binaries that would need
modifications as well.  [I don’t see anything in the sections related to the 
BASE-specific processing in trac-preproc involving bvals/bvecs, so think we are
fine there.  But it is harder for me to tell what is going on in trac-paths].

thanks,
-MH

-- 
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO  63110 Email: mha...@wustl.edu

From: <freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of "Harms, Michael" 
<mha...@wustl.edu>
Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Date: Wednesday, June 29, 2016 at 5:00 PM
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] longitudinal tracula


Hi,
When running TRACULA with longitudinal data, is it necessary for all scan waves 
of a given subject to be included in a single dmrirc file?  My initial
thought was “no”, that it would be fine to run one scan wave per subject per 
dmrirc file (as long as the “baselist” variable is set appropriately for each
scan wave and subject).

But looking at the ‘trac-all’ script, I see

if ($#baselist == 0) then#--->>> A single time point for each subject
…
else#--->>> Multiple time points for each subject
…

So, I’m wondering why different sections in the code would be necessary if in 
fact it is ok to process a single scan wave per dmrirc file.

thanks,
-MH

-- 
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO  63110 Email: mha...@wustl.edu

 


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