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aroma_wf: inputnode: bold_mni6 mask_mni6 outputnode: #### Calculate aroma if 'bold_mni6' in found: aroma_wf = init_aroma_wf() wf.inputs.inputnode.bold_mni6 = found['bold_mni6'] else: resample_wf = init_resample_wf() resample_wf.inputs.... wf.connect([ (resample_wf, aroma_wf, [ ('outputnode.bold_mni6', 'inputnode.bold_mni6') ]), #### Apply aroma iterator_wf = ... # anat2std_xfm # std_t1w # std_mask xfms = [ hmc_xfms, coreg_xfm ] all_xfms = Merge(2) wf.connect(xfms, 'out', all_xfms, 'in1') wf.connect(iterator_wf, 'outputnode.anat2std', all_xfms, 'in2') resampler = ... # bold.nii # fmap.nii # fmapreg wf.connect(xfms, 'out', resampler, 'xfms') wf.connect(aroma_wf, ..., denoise, ...) wf.connect(resampler, ..., denoise, ...) ## If resampled data exists std_buffer = KeySelect(bold=[found[space].bold for space in spaces], keys=spaces) wf.connect(iterator_wf, 'space', std_buffer, 'key') wf.connect(aroma_wf, ..., denoise, ...) wf.connect(std_buffer, 'bold', denoise, 'bold')
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I started working on this in #33, but I couldn't get it working because the space iterator collects the transforms, but resampler does as well.
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--output-spaces
resampler
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The text was updated successfully, but these errors were encountered: