@@ -278,16 +278,25 @@ class N4BiasFieldCorrection(ANTSCommand):
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>>> n4.inputs.n_iterations = [50,50,30,20]
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>>> n4.inputs.convergence_threshold = 1e-6
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>>> n4.cmdline
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- 'N4BiasFieldCorrection --convergence [ 50x50x30x20 ,1e-06] \
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- --bsline-fitting [300] --image-dimension 3 --input-image structural.nii \
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- --output structural_corrected.nii --shrink-factor 3'
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+ 'N4BiasFieldCorrection --bsline-fitting [ 300 ] \
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+ --image-dimension 3 --input-image structural.nii \
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+ --convergence [ 50x50x30x20, 1e-06 ] --output structural_corrected.nii \
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+ --shrink-factor 3'
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- >>> n4_2 = N4BiasFieldCorrection()
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- >>> n4_2.inputs.input_image = 'structural.nii'
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- >>> n4_2.inputs.save_bias = True
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+ >>> n4_2 = n4.clone()
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+ >>> n4_2.inputs.bspline_order = 5
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>>> n4_2.cmdline
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+ 'N4BiasFieldCorrection --bsline-fitting [ 300, 5 ] \
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+ --image-dimension 3 --input-image structural.nii \
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+ --convergence [ 50x50x30x20, 1e-06 ] --output structural_corrected.nii \
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+ --shrink-factor 3'
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+
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+ >>> n4_3 = N4BiasFieldCorrection()
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+ >>> n4_3.inputs.input_image = 'structural.nii'
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+ >>> n4_3.inputs.save_bias = True
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+ >>> n4_3.cmdline
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'N4BiasFieldCorrection --image-dimension 3 --input-image structural.nii \
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- --output [structural_corrected.nii,structural_bias.nii]'
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+ --output [ structural_corrected.nii, structural_bias.nii ]'
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"""
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_cmd = 'N4BiasFieldCorrection'
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