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# interfaces.camino.utils

## ImageStats

Link to code

Wraps command imagestats

This program computes voxelwise statistics on a series of 3D images. The images must be in the same space; the operation is performed voxelwise and one output is produced per voxel.

### Examples

    >>> import nipype.interfaces.camino as cam
    >>> imstats = cam.ImageStats()
    >>> imstats.inputs.in_files = ['im1.nii','im2.nii','im3.nii']
    >>> imstats.inputs.stat = 'max'
    >>> imstats.run()

Inputs:

    [Mandatory]
    in_files: (an existing file name)
            List of images to process. They must be in the same space and have
            the same dimensions.
            flag: -images %s, position: -1
    output_root: (a file name)
            Filename root prepended onto the names of the output files. The
            extension will be determined from the input.
            flag: -outputroot %s
    stat: ('min' or 'max' or 'mean' or 'median' or 'sum' or 'std' or
             'var')
            The statistic to compute.
            flag: -stat %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal
            immediately, `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    out_type: ('float' or 'char' or 'short' or 'int' or 'long' or
             'double', nipype default value: float)
            A Camino data type string, default is "float". Type must be signed.
            flag: -outputdatatype %s

Outputs:

    out_file: (an existing file name)
            Path of the file computed with the statistic chosen