.. AUTO-GENERATED FILE -- DO NOT EDIT!

interfaces.semtools.brains.classify
===================================


.. _nipype.interfaces.semtools.brains.classify.BRAINSPosteriorToContinuousClass:


.. index:: BRAINSPosteriorToContinuousClass

BRAINSPosteriorToContinuousClass
--------------------------------

`Link to code <file:///build/nipype-1.1.8/nipype/interfaces/semtools/brains/classify.py#L53>`__

Wraps the executable command `` BRAINSPosteriorToContinuousClass ``.

title: Tissue Classification

category: BRAINS.Classify

description: This program will generate an 8-bit continuous tissue classified image based on BRAINSABC posterior images.

version: 3.0

documentation-url: http://www.nitrc.org/plugins/mwiki/index.php/brains:BRAINSClassify

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: Vincent A. Magnotta

acknowledgements: Funding for this work was provided by NIH/NINDS award NS050568

Inputs::

        [Optional]
        outputVolume: (a boolean or a file name)
                Output Continuous Tissue Classified Image
                argument: ``--outputVolume %s``
        inputCsfVolume: (an existing file name)
                CSF Posterior Volume
                argument: ``--inputCsfVolume %s``
        inputCrblWmVolume: (an existing file name)
                Cerebellum White Matter Posterior Volume
                argument: ``--inputCrblWmVolume %s``
        inputSurfaceGmVolume: (an existing file name)
                Surface Grey Matter Posterior Volume
                argument: ``--inputSurfaceGmVolume %s``
        inputWhiteVolume: (an existing file name)
                White Matter Posterior Volume
                argument: ``--inputWhiteVolume %s``
        args: (a unicode string)
                Additional parameters to the command
                argument: ``%s``
        environ: (a dictionary with keys which are a newbytes or None or a
                  newstr or None and with values which are a newbytes or None or a
                  newstr or None, nipype default value: {})
                Environment variables
        inputCrblGmVolume: (an existing file name)
                Cerebellum Grey Matter Posterior Volume
                argument: ``--inputCrblGmVolume %s``
        inputVbVolume: (an existing file name)
                Venous Blood Posterior Volume
                argument: ``--inputVbVolume %s``
        inputBasalGmVolume: (an existing file name)
                Basal Grey Matter Posterior Volume
                argument: ``--inputBasalGmVolume %s``

Outputs::

        outputVolume: (an existing file name)
                Output Continuous Tissue Classified Image
