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Invalid argument ``--regoption`` passed to MSM
Describe the bug A clear and concise description of what the bug is.
Exact command line executed
dmriprep blah blah
Are you positive that the input dataset is BIDS-compliant?
- [x] I have used the online BIDS-Validator
- [x] I have run a local installation of the BIDS-Validator (please, note the version of the validator here).
- [ ] I let sMRIPrep check it for me (in other words, I didn't set the
--skip-bids-validationargument). - [ ] No, I haven't checked myself AND used the
--skip-bids-validationargument.
sMRIPrep feedback information Please attach the full log written to the standard output and the crashfile(s), if generated.
Node: _msmsulc1
Working directory: /home/oesteban/tmp/dmriprep-tests/dmriprep-work/dmriprep_25_0_wf/sub_05_ses_JHU1-MGH1_wf/anat_fit_wf/msm_sulc_wf/msmsulc/mapflow/_msmsulc1
Node inputs:
args = <undefined>
config_file = /home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/msm/MSMSulcStrainFinalconf
environ = {}
in_data = /home/oesteban/tmp/dmriprep-tests/dmriprep-work/dmriprep_25_0_wf/sub_05_ses_JHU1-MGH1_wf/anat_fit_wf/msm_sulc_wf/invert_sulc/mapflow/_invert_sulc1/sub-XYZ.R.sulc.native.shape.gii
in_mesh = /home/oesteban/tmp/dmriprep-tests/dmriprep-work/dmriprep_25_0_wf/sub_05_ses_JHU1-MGH1_wf/anat_fit_wf/msm_sulc_wf/modify_sphere/mapflow/_modify_sphere1/sub-05_hemi-R_sphere.surf_xformed.surf_mod.surf.gii
in_register = <undefined>
in_weight = <undefined>
levels = <undefined>
out_base = rh.
output_format = <undefined>
reference_data = /home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/atlases/R.refsulc.164k_fs_LR.shape.gii
reference_mesh = /home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/atlases/fsaverage.R_LR.spherical_std.164k_fs_LR.surf.gii
reference_weight = <undefined>
smooth_output_sigma = <undefined>
transformed_mesh = <undefined>
verbose = True
Traceback (most recent call last):
File "/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/nipype/pipeline/engine/nodes.py", line 525, in run
result = self._run_interface(execute=True)
File "/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/nipype/pipeline/engine/nodes.py", line 643, in _run_interface
return self._run_command(execute)
~~~~~~~~~~~~~~~~~^^^^^^^^^
File "/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/nipype/pipeline/engine/nodes.py", line 769, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node _msmsulc1.
Cmdline:
msm --conf=/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/msm/MSMSulcStrainFinalconf --indata=/home/oesteban/tmp/dmriprep-tests/dmriprep-work/dmriprep_25_0_wf/sub_05_ses_JHU1-MGH1_wf/anat_fit_wf/msm_sulc_wf/invert_sulc/mapflow/_invert_sulc1/sub-XYZ.R.sulc.native.shape.gii --inmesh=/home/oesteban/tmp/dmriprep-tests/dmriprep-work/dmriprep_25_0_wf/sub_05_ses_JHU1-MGH1_wf/anat_fit_wf/msm_sulc_wf/modify_sphere/mapflow/_modify_sphere1/sub-05_hemi-R_sphere.surf_xformed.surf_mod.surf.gii --out=rh. --refdata=/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/atlases/R.refsulc.164k_fs_LR.shape.gii --refmesh=/home/oesteban/.miniconda/envs/dmriprep/lib/python3.13/site-packages/smriprep/data/atlases/fsaverage.R_LR.spherical_std.164k_fs_LR.surf.gii --verbose
Stdout:
Stderr:
Part of FSL (ID: 6.0.4:ddd0a010)
msm configuration parameters
Usage:
Optional arguments (You may optionally specify one or more of):
--opt optimisation method. Choice of: AFFINE,DISCRETE (default)
--simval code for determining which similarty measure is used to assess cost during registration: options are 1) SSD; 2) pearsons correlation (default); 3) NMI;)
--it number of iterations at each resolution (default -–it=3,3,3)
--sigma_in smoothing parameter for input image (default --sigma_in=2,2,2)
--sigma_ref Sigma parameter - smoothing parameter for reference image (set equal to sigma_in by default)
--lambda Lambda parameter - controls contribution of regulariser
--datagrid DATA grid resolution (default --datagrid=5,5,5). If parameter = 0 then the native mesh is used.
--CPgrid Control point grid resolution (default --CPgrid=2,3,4)
--SGgrid Sampling grid resolution (default = 2 levels higher than the control point grid)
--anatgrid Anatomical grid resolution (default = 2 levels higher than the control point grid)
--aKNN Number of neighbours for estimation of kNN graph and alpha entropy measure (default --aKNN=5,5,5)
--cutthr Upper and lower thresholds for defining cut vertices (default --cutthr=0,0)
--mInt Method used for mesh interpolations, options: TPS or BARY (default)
--dInt Method used for data interpolations, options: GAUSSIAN or ADAP_BARY (default)
--regexp Regulariser exponent 'rexp' (default 2.0)
--weight weight regulariser cost using areal distortion weighting
--anorm norm regulariser cost using mean angle (for HCP compatibility)
--rescaleL rescale label grid rather than using barycentres
--log log transform and normalise the data
--IN Normalize intensity ranges using histogram matching
--INc Normalize intensity ranges using histogram matching excluding cut
--VN Variance normalize data
--scale Scale intensity ranges of a features in multivariate data to be equal to that of the first (useful for multimodal contrasts)
--excl Ignore the cut when resampling the data
--stepsize gradient stepping for affine optimisation (default 0.01)
--gradsampling Determines the finite distance spacing for the affine gradient calculation (default 0.5)
--numthreads number of threads for tbb (default 1)
--regoption: Option doesn't exist!
Traceback:
RuntimeError: subprocess exited with code 1.
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Installation type (please complete the following information):
- [ ] "Bare-metal"
- [ ] Singularity
- [ ] Docker
Additional context Add any other context about the problem here.