Open rmldj opened 2 years ago
Btw. I pulled the latest version from docker hub yesterday - so this should be v4.3.0-3
I did some sleuthing on the command line using BIDSLayout
.
It seems that the problem is in https://github.com/BIDS-Apps/HCPPipelines/blob/master/run.py#L416
The fieldmap_set
that I get is
[{'epi': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_dir-PA_epi.nii.gz', 'suffix': 'epi'}, {'phasediff': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_phasediff.nii.gz', 'magnitude1': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_magnitude1.nii.gz', 'suffix': 'phasediff', 'magnitude2': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_magnitude2.nii.gz'}]
hence the following condition fails:
all(item["suffix"] == "epi" for item in fieldmap_set)
However, if I would erase the phasediff
and magnitude
files it would still not work as it would fail the condition
len(fieldmap_set) == 2
So it seems that the code expects two have two epi fieldmaps, while I have only one?
Is it true? Does that mean that the data is incomplete and I should be using auto
processing mode here? (I have a T2w image)
This is very helpful-it looks like the code could better handle the presence of both epi and phase/magnitude fieldmaps. However, you do have incomplete data. EPI fieldmaps come in pairs acquired in opposite phase encoding directions; the field cannot be calculated from a single direction. You are missing the file fmap/sub-121c_dir-AP_epi.nii.gz from the dataset. If you remove the fmap/sub-121c_dir-PA_epi.nii.gz file, processing should proceed with the phase/magnitude data, provided that is suitable for correcting your data. This is admittedly less thoroughly tested than EPI fieldmaps.
Roeland Hancock
On Fri, Jan 14, 2022 at 4:37 PM rmldj @.***> wrote:
I did some sleuthing on the command line using BIDSLayout. It seems that the problem is in https://github.com/BIDS-Apps/HCPPipelines/blob/master/run.py#L416 The fieldmap_set that I get is
[{'epi': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_dir-PA_epi.nii.gz', 'suffix': 'epi'}, {'phasediff': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_phasediff.nii.gz', 'magnitude1': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_magnitude1.nii.gz', 'suffix': 'phasediff', 'magnitude2': '/opt/romuald/SR/fMRI_data/sub-121c/fmap/sub-121c_magnitude2.nii.gz'}]
hence the following condition fails:
all(item["suffix"] == "epi" for item in fieldmap_set)
However, if I would erase the phasediff and magnitude files it would still not work as it would fail the condition
len(fieldmap_set) == 2
So it seems that the code expects two have two epi fieldmaps, while I have only one? Is it true? Does that mean that the data is incomplete and I should be using auto processing mode here? (I have a T2w image)
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Thanks! I will ask for the AP file.
But apparently the legacy method has The following LegacyStyleData settings were requested: --dcmethod=NONE
So the HCPPipeline does not do any distortion correction - the phase/magnitude data would be used with the option https://github.com/Washington-University/HCPpipelines/blob/master/fMRIVolume/GenericfMRIVolumeProcessingPipeline.sh#L76
so this need some setup from inside the BIDS app?
Hello,
I posted this on the hcp-users group but it seems to be more specific to the BIDS app:
I am trying to run the HCPPipelines BIDS app on a sample subject from my colleague's data. After the PostFreeSurferPipeline is completed, I get the error:
However in the subdirectory
sub-121c/fmap
, I have the following files:In the
sub-121c_dir-PA_epi.json
there is the lineand the corresponding
sub-121c_dir-PA_epi.nii.gz
is present.The BIDS validator correctly identifies the corresponding BOLD map
func/sub-121c_task-rest_bold.nii.gz
- I checked this by modifying the IntendedFor field. However the pipeline script somehow does not locate the fieldmapsub-121c_dir-PA_epi.nii.gz
... I would be grateful for any help.. Romuald