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| import nipype.interfaces.io as nio | |
| import nipype.pipeline.engine as pe | |
| volsource = pe.Node(interface = nio.DataGrabber(outfields=["dw_imgs"]), name="volsource") | |
| project_dir = "/mindhive/gablab/sad/PY_STUDY_DIR/Block" | |
| volsource.inputs.base_directory = project_dir | |
| volsource.inputs.template = "diffusion/preproc/SAD_*/%s_warp.nii.gz" | |
| volsource.base_dir = '.' | |
| volsource.inputs.template_args = dict(dw_imgs=[[["fa", "ra", "adc"]]]) | |
| res = volsource.run() |
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| subject_list = ['SAD_P07'] #using single subject as demo, just add all subjects to the list | |
| node = pe.Node(interface=utils.IdentityInterface(fields=['subject_id']), name='subjectid') | |
| node.iterables = ('subject_id', subject_list) | |
| volsource = pe.Node(interface = nio.DataGrabber(infields=['subject_id'], outfields=["dw_imgs"]), name="volsource") | |
| project_dir = "/mindhive/gablab/sad/PY_STUDY_DIR/Block" | |
| volsource.inputs.base_directory = project_dir | |
| volsource.inputs.template = "diffusion/preproc/%s/%s_warp.nii.gz" | |
| volsource.inputs.template_args = dict(dw_imgs=[['subject_id', ["fa", "ra", "adc"]]]) | |
| workflow = pe.Workflow(name='getdata') | |
| workflow.connect(node, 'subject_id', volsource, 'subject_id') | |
| workflow.run() |
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