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  Description: Performs edge enhancing anisotropic diffusion: smooths
  strongly in the direction parallel to an edge, while smoothing normal to
  the edge is inversely proportional to the gradient. Implemented as
  described in Mendrik et al., Noise reduction in computed tomography
  scans using 3-D anisotropic diffusion with continuous switch, IEEE
  Transactions on Medical Imaging, 28(10), pp. 1585-1594, 2009.


  ./EnhanceEdgesUsingDiffusion  [--returnparameterfile <std::string>]
                                <std::string>] [--xml] [--echo] [-n <int>]
                                [-t <double>] [-e <double>] [-s <double>]
                                [--] [--version] [-h] <std::string>


  --returnparameterfile <std::string>
    Filename in which to write simple return parameters (int, float,
    int-vector, etc.) as opposed to bulk return parameters (image,
    geometry, transform, measurement, table).
  --processinformationaddress <std::string>
    Address of a structure to store process information (progress, abort,
    etc.). (default: 0)
    Produce xml description of command line arguments (default: 0)
    Echo the command line arguments (default: 0)
  -n <int>,  --numIterations <int>
    Number of iterations used in optimization. (default: 1)
  -t <double>,  --timeStep <double>
    Time step used in optimization. (default: 0.11)
  -e <double>,  --EEDContrast <double>
    Contrast of edges, as opposed to noise. If set too low, noise will not
    be filtered. If set too high, plate-like structures will not be
    preserved. (default: 30)
  -s <double>,  --scale <double>
    Scale at which first derivatives are calculated when determining the
    structure tensor and gradient magnitude. If set too low, filter will
    be overly sensitive to noise. If set too high, small structures will
    not be well preserved. (default: 1)
  --,  --ignore_rest
    Ignores the rest of the labeled arguments following this flag.
    Displays version information and exits.
  -h,  --help
    Displays usage information and exits.
    (required)  Input volume.
    (required)  Output volume.
  Author(s): Danielle F. Pace, Andinet Enquobahrie, Hua Yang, Stephen R.
  Aylward (Kitware)
  Acknowledgements: This work is part of the TubeTK project at Kitware.