# -*- coding: utf-8 -*- # This software and supporting documentation are distributed by # Institut Federatif de Recherche 49 # CEA/NeuroSpin, Batiment 145, # 91191 Gif-sur-Yvette cedex # France # # This software is governed by the CeCILL license version 2 under # French law and abiding by the rules of distribution of free software. # You can use, modify and/or redistribute the software under the # terms of the CeCILL license version 2 as circulated by CEA, CNRS # and INRIA at the following URL "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license version 2 and that you accept its terms. from brainvisa.processes import * from soma import aims import registration name = 'Hemisphere Grey White Classification' userLevel = 0 # Argument declaration signature = Signature( 'side', Choice( 'left', 'right' ), 't1mri_nobias', ReadDiskItem( 'T1 MRI Bias Corrected', 'Aims readable volume formats' ), 'histo_analysis', ReadDiskItem( 'Histo Analysis', 'Histo Analysis' ), 'split_brain', ReadDiskItem( 'Split Brain Mask', 'Aims readable volume formats' ), 'edges', ReadDiskItem( 'T1 MRI Edges', 'Aims readable volume formats' ), 'commissure_coordinates', ReadDiskItem( 'Commissure coordinates', 'Commissure coordinates'), 'grey_white', WriteDiskItem( 'Morphologist Grey White Mask', 'Aims writable volume formats' ), 'fix_random_seed', Boolean(), ) # Default values def initialization( self ): def linkGW( self, dummy ): if self.t1mri_nobias is not None: return self.signature[ 'grey_white' ].findValue( self.t1mri_nobias, requiredAttributes={ 'side': self.side } ) self.linkParameters( 'histo_analysis', 't1mri_nobias' ) self.linkParameters( 'grey_white', ( 't1mri_nobias', 'side' ), linkGW ) self.linkParameters( 'split_brain', 't1mri_nobias' ) self.linkParameters( 'edges', 't1mri_nobias' ) self.linkParameters( 'commissure_coordinates', 't1mri_nobias' ) self.signature[ 'fix_random_seed' ].userLevel = 3 self.fix_random_seed = False def execution( self, context ): if os.path.exists(self.grey_white.fullName() + '.loc'): context.write(self.grey_white.fullName(), 'has been locked') context.write('Remove', self.grey_white.fullName(), '.loc if you want to trigger a new classification') else: context.write( 'Computing ' + self.side + ' hemisphere grey-white classification...' ) if self.side == 'left': sideval = 2 else: sideval = 1 command = [ 'VipGreyWhiteClassif', '-i', self.t1mri_nobias, '-h', self.histo_analysis, '-m', self.split_brain, '-edges', self.edges, '-P', self.commissure_coordinates, '-o', self.grey_white, '-l', sideval, '-w', 't', '-a', 'N' ] if self.fix_random_seed: command += ['-srand', '10'] context.system( *command ) tm = registration.getTransformationManager() tm.copyReferential(self.t1mri_nobias, self.grey_white)