Multi-band reverse phase encoding #263
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Hi @Loxlan. You would parse all of those series into PyDesigner with the syntax
NOTE: No spaces between commas separating paths to input files. This will allow PyDesigner to make its own internal decisions on achieving the highest possible SNR. Protocol information stored in JSON files is used to determine whether or not to run Gibbs unringing and figure out phase encoding information. While we have not personally tested this with the HCP dataset, it should work if all relevant information is available in the JSON file. Running this in containers like Docker and Singularity will follow the same syntax with changes to file paths relative to mount point and/or other container control flags. An example on running PyDesigner within NeuroDock is available here. |
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Great tool! A quick question, how would you use the tool for a multi-band reverse-phase encoding DWI dataset similar to the HCP dataset.
eg, sub-xx_acq-multiband_run-01_dwi.bval sub-xx_acq-multiband_run-01_dwi.bvec sub-xx_acq-multiband_run-01_dwi.json sub-xx_acq-multiband_run-01_dwi.nii.gz
and reverse encoding as,
sub-xx_acq-multiband_run-02_dwi.bval sub-xx_acq-multiband_run-02_dwi.bvec sub-xx_acq-multiband_run-02_dwi.json sub-xx_acq-multiband_run-02_dwi.nii.gz
Any example of how to process this data with singularity will be helpful.
Thanks
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