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## Summary
I am getting an error when preprocessing dwi data with no T1w data using the latest qsiprep version.
I was able to successfully preprocess this dataset using qsiprep v0.19.1 but get an e…
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Hello, thank you so much for this fantastic pipeline, our lab uses TORTOISE on a regular!
I had a question regarding TORTOISEProcess, specifically if its possible to provide an initial rigid instea…
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Hi there, I get the following error when attempting to run the first step in the WMA pipeline (https://whitematteranalysis.readthedocs.io/en/latest/subject-specific-tractography-parcellation.html). I …
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Hi All,
I'm trying to register each bval volume in a 4D diffusion scan to the average of b0 volumes. I'm using register_dwi_series to do so with my scan as data, and 0 as b0 ref (using the default pi…
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This App currently outputs `neuro/dtiinit`, but I believe we could instead output `neuro/dwi` with datatype tags such as "dtiinit" or "aligned" etc.. We can then update existing App that uses `neuro/d…
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This issue lists the sites with low DWI data quality
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Hi there,
We are running fsl_topup_epi_eddy on our DWI data (108 directions, b-values from 5 - 3000 mm/s^2) with the following code:
fsl_topup_epi_eddy --imain $dwi_PA,$dwi_AP \
--mask $dwi_PA_…
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def bikin_stack () :
stack = [38,39,40]
return stack
def periksa_empty ( stack ) :
return len (stack) == 0
def push ( stack,item ):
stack.append (item)
print ("ukuran sepatu yang dikem…
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It would be useful to know when a session has `anat`, `dwi`, `fmap`, and/or `func` data. This way different tactics could be selectively deployed in pipeline.py and bids_corrections.py. For instance, …