@@ -296,19 +296,19 @@ class antsCorticalThicknessInputSpec(ANTSCommandInputSpec):
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desc = 'image dimension (2 or 3)' )
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anatomical_image = File (exists = True ,
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argstr = '-a %s' ,
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- desc = 'Structural *intensity* image, typically T1.'
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+ desc = ( 'Structural *intensity* image, typically T1.'
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'If more than one anatomical image is specified,'
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'subsequently specified images are used during the'
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'segmentation process. However, only the first'
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'image is used in the registration of priors.'
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'Our suggestion would be to specify the T1'
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- 'as the first image.' ,
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+ 'as the first image.' ) ,
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mandatory = True )
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brain_template = File (exists = True ,
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argstr = '-e %s' ,
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- desc = 'Anatomical *intensity* template (possibly created using a'
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+ desc = ( 'Anatomical *intensity* template (possibly created using a'
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'population data set with buildtemplateparallel.sh in ANTs).'
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- 'This template is *not* skull-stripped.' ,
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+ 'This template is *not* skull-stripped.' ) ,
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mandatory = True )
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brain_probability_mask = File (exists = True ,
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argstr = '-m %s' , desc = 'brain probability mask in template space' ,
@@ -334,14 +334,14 @@ class antsCorticalThicknessInputSpec(ANTSCommandInputSpec):
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keep_temporary_files = traits .Int (argstr = '-k %d' ,
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desc = 'Keep brain extraction/segmentation warps, etc (default = 0).' )
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max_iterations = traits .Int (argstr = '-i %d' ,
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- desc = 'ANTS registration max iterations'
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- '(default = 100x100x70x20)' )
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+ desc = ( 'ANTS registration max iterations'
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+ '(default = 100x100x70x20)' ))
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prior_segmentation_weight = traits .Float (argstr = '-w %f' ,
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- desc = 'Atropos spatial prior *probability* weight for'
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- 'the segmentation' )
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+ desc = ( 'Atropos spatial prior *probability* weight for'
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+ 'the segmentation' ))
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segmentation_iterations = traits .Int (argstr = '-n %d' ,
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- desc = 'N4 -> Atropos -> N4 iterations during segmentation'
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- '(default = 3)' )
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+ desc = ( 'N4 -> Atropos -> N4 iterations during segmentation'
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+ '(default = 3)' ))
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posterior_formulation = traits .Str (argstr = '-b %s' ,
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desc = ('Atropos posterior formulation and whether or not'
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'to use mixture model proportions.'
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