class_docstr: Use odf_recon to generate tensors and other maps
class_docstr_tok: ["Use","odf_recon","to","generate","tensors","and","other","maps"]
code: def _list_outputs(self):
      out_prefix = self.inputs.out_prefix
      output_type = self.inputs.output_type
  
      outputs = self.output_spec().get()
      outputs["B0"] = os.path.abspath(
          fname_presuffix(
              "", prefix=out_prefix, suffix="_b0." + output_type
          )
      )
      outputs["DWI"] = os.path.abspath(
          fname_presuffix(
              "", prefix=out_prefix, suffix="_dwi." + output_type
          )
      )
      outputs["max"] = os.path.abspath(
          fname_presuffix(
              "", prefix=out_prefix, suffix="_max." + output_type
          )
      )
      outputs["ODF"] = os.path.abspath(
          fname_presuffix(
              "", prefix=out_prefix, suffix="_odf." + output_type
          )
      )
      if isdefined(self.inputs.output_entropy):
          outputs["entropy"] = os.path.abspath(
              fname_presuffix(
                  "",
                  prefix=out_prefix,
                  suffix="_entropy." + output_type,
              )
          )
  
      return outputs
  
imports: import os
  import re
  from ...utils.filemanip import fname_presuffix, split_filename, copyfile
  from ..base import TraitedSpec, File, traits, CommandLine, CommandLineInputSpec, isdefined
label_desc: Use image node_id 1 for calling the ODFRecon obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs