interfaces.semtools.brains.classify¶
BRAINSPosteriorToContinuousClass¶
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]
inputWhiteVolume: (an existing file name)
White Matter Posterior Volume
argument: ``--inputWhiteVolume %s``
inputBasalGmVolume: (an existing file name)
Basal Grey Matter Posterior Volume
argument: ``--inputBasalGmVolume %s``
inputSurfaceGmVolume: (an existing file name)
Surface Grey Matter Posterior Volume
argument: ``--inputSurfaceGmVolume %s``
inputCsfVolume: (an existing file name)
CSF Posterior Volume
argument: ``--inputCsfVolume %s``
inputVbVolume: (an existing file name)
Venous Blood Posterior Volume
argument: ``--inputVbVolume %s``
inputCrblGmVolume: (an existing file name)
Cerebellum Grey Matter Posterior Volume
argument: ``--inputCrblGmVolume %s``
inputCrblWmVolume: (an existing file name)
Cerebellum White Matter Posterior Volume
argument: ``--inputCrblWmVolume %s``
outputVolume: (a boolean or a file name)
Output Continuous Tissue Classified Image
argument: ``--outputVolume %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
outputVolume: (an existing file name)
Output Continuous Tissue Classified Image