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reference:ft_volumenormalise [2018/08/23 14:43] (current)
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 +=====  FT_VOLUMENORMALISE =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_volumenormalise"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_volumenormalise><​font color=green>​FT_VOLUMENORMALISE</​font></​a>​ normalises anatomical and functional volume data
 +  to a template anatomical MRI.
 + 
 +  Use as
 +    [mri] = ft_volumenormalise(cfg,​ mri)
 +  where the input mri should be a single anatomical volume that was for
 +  example read with <a href=/​reference/​ft_read_mri><​font color=green>​FT_READ_MRI</​font></​a>​.
 + 
 +  Configuration options are
 +    cfg.spmversion ​ = string, '​spm2',​ '​spm8',​ '​spm12'​ (default = '​spm8'​)
 +    cfg.template ​   = string, filename of the template anatomical MRI (default = '​T1.mnc'​
 +                      for spm2 or '​T1.nii'​ for spm8)
 +    cfg.parameter ​  = cell-array with the functional data to be normalised (default = '​all'​)
 +    cfg.downsample ​ = integer number (default = 1, i.e. no downsampling)
 +    cfg.name ​       = string for output filename
 +    cfg.write ​      = '​no'​ (default) or '​yes',​ writes the segmented volumes to SPM2
 +                      compatible analyze-file,​ with the suffix
 +                      _anatomy for the anatomical MRI volume
 +                      _param ​  for each of the functional volumes
 +    cfg.nonlinear ​  = '​yes'​ (default) or '​no',​ estimates a nonlinear transformation
 +                      in addition to the linear affine registration. If a reasonably
 +                      accurate normalisation is sufficient, a purely linearly transformed
 +                      image allows for '​reverse-normalisation',​ which might come in handy
 +                      when for example a region of interest is defined on the normalised
 +                      group-average.
 + 
 +  To facilitate data-handling and distributed computing you can use
 +    cfg.inputfile ​  ​= ​ ...
 +    cfg.outputfile ​ =  ...
 +  If you specify one of these (or both) the input data will be read from a *.mat
 +  file on disk and/or the output data will be written to a *.mat file. These mat
 +  files should contain only a single variable, corresponding with the
 +  input/​output structure.
 + 
 +  See also <a href=/​reference/​ft_read_mri><​font color=green>​FT_READ_MRI</​font></​a>,​ <a href=/​reference/​ft_volumedownsample><​font color=green>​FT_VOLUMEDOWNSAMPLE</​font></​a>,​ <a href=/​reference/​ft_sourceinterpolate><​font color=green>​FT_SOURCEINTERPOLATE</​font></​a>,​ <a href=/​reference/​ft_sourceplot><​font color=green>​FT_SOURCEPLOT</​font></​a>​
 +</​pre></​html>​