code: def _post_run_hook(self, runtime):
          ''' generates a report showing slices from each axis '''
  
          brain_extraction_mask = self.aggregate_outputs(runtime=runtime).BrainExtractionMask
  
          if isdefined(self.inputs.keep_temporary_files) and self.inputs.keep_temporary_files == 1:
              self._anat_file = self.aggregate_outputs(runtime=runtime).N4Corrected0
          else:
              self._anat_file = self.inputs.anatomical_image
          self._mask_file = brain_extraction_mask
          self._seg_files = [brain_extraction_mask]
          self._masked = False
  
          NIWORKFLOWS_LOG.info('Generating report for ANTS BrainExtraction. file "%s", mask "%s"',
                               self._anat_file, self._mask_file)
  
          return super(BrainExtractionRPT, self)._post_run_hook(runtimef _post_run_hook(self, runtime):
          ''' generates a report showing slices from each axis '''
  
          brain_extraction_mask = self.aggregate_outputs(runtime=runtime).BrainExtractionMask
  
          if isdefined(self.inputs.keep_temporary_files) and self.inputs.keep_temporary_files == 1:
              self._anat_file = self.aggregate_outputs(runtime=runtime).N4Corrected0
          else:
              self._anat_file = self.inputs.anatomical_image
          self._mask_file = brain_extraction_mask
          self._seg_files = [brain_extraction_mask]
          self._masked = False
  
          NIWORKFLOWS_LOG.info('Generating report for ANTS BrainExtraction. file "%s", mask "%s"',
                               self._anat_file, self._mask_file)
  
          return super(BrainExtractionRPT, self)._post_run_hook(runtime)
docs: generates a report showing slices from each axis