
    AimsInterSliceNormalize
    -----------------------

Normalize the intensity through 3D volume.
This process first computes a reference value for the intensity's mean and
variance. The reference slice may be a given slice of the input volume, or a
given slice of a reference volume if one is passed.
The intensity's mean and variance are then computed in each slice of the
estimate volume (the input volume if none is given), and linear coefficients A
and B are computed so that A * EST_SIGNAL + B has the same mean and variance as
REF_SIGNAL.
The transformation is finally applied to the input volume and returned in the
output volume.
If masks are provided, only the signal in the masks is used for estimation.
However, the transformation is applied to the entire volume.

Options :

-i | --input <string>
    input data to use to process intensity mean and variance

[ -j | --input-estimate <string> ]
    input data to use to estimate mean and variance [default : uses the input
    data]

[ -k | --input-reference <string> ]
    input data to use as reference [default: uses estimate or else input data]

-o | --output <string>
    output data

[ -m | --input-mask-estimate <string> ]
    input mask for processed/estimate images

[ -n | --input-mask-reference <string> ]
    input mask for reference image

[ -p <string> ]
    input mask for estimate image

[ -s <S32> ]
    reference slice [default: 0]

[ --output_4d_volumes <S32> ]
    Write 4D images as several 3D files (0 = series of 3D volumes, 1 = one 4D
    volume, no value = use .aimsrc configuration files)

[ --debugLevel | -d <S32> ]
    Set debug information level (default = 0)

[ --verbose | -v [ <S32> ] ]
    Set verbosity level (default = 0, without value = 1)

[ -h | --help <boolean> ]
    show help message

[ --version <boolean> ]
    show Cartograph version

[ --info <boolean> ]
    show libraries information (install, plugins, paths, etc.)

[ --optionsfile <string> ]
    Read additional commandline options from the specified file (one switch or
    value per line)

