# 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 * import os from brainvisa import anatomist import registration name = 'White Mesh Depth Map' userLevel = 3 signature = Signature( "white_mesh", ReadDiskItem( "Hemisphere White Mesh", "Aims mesh formats" ), "hemi_cortex", ReadDiskItem( "CSF+GREY Mask", "Aims readable volume formats" ), "depth_texture", WriteDiskItem( "White Depth Texture", "Texture" ), "closing_size", Float(), ) def initialization(self): self.linkParameters( "hemi_cortex", "white_mesh" ) self.linkParameters( "depth_texture", "white_mesh" ) self.closing_size = 10. def execution( self, context ): white = context.temporary( 'GIS Image' ) # take a white mask image context.system( 'AimsThreshold', self.hemi_cortex, white, '-m', 'eq', '-t', 0, '-b' ) closedwhite = context.temporary( 'GIS image' ) # severely close it to fill every sulcus and ventricle context.system( 'AimsClosing', white, closedwhite, self.closing_size ) # erode it so that the white mesh goes out of it context.system( 'AimsErosion', '-i', closedwhite, '-o', closedwhite, '-e', 2. ) hulltex = context.temporary( 'Texture' ) registration.getTransformationManager().copyReferential( self.white_mesh, closedwhite ) a = anatomist.Anatomist() # mask the white mesh with the eroded mask #fusion = context.runProcess( 'fusion3Dmesh', closedwhite, self.hemi_cortex, # hulltex, 0 ) fusion = context.runProcess( 'fusion3Dmesh', closedwhite, self.white_mesh, hulltex, 0 ) # wait for synchronous completion from Anatomist a = anatomist.Anatomist() a.getObjects() # change values to get O inside sulci and a positive value outside context.system( 'AimsLinearComb', '-i', hulltex, '-o', hulltex, '-a', -1., '-e', 32767 ) # convert to a label texture (seems to be needed for meshdistance) context.system( 'AimsFileConvert', hulltex, hulltex, '-t', 'S16' ) # get the distance map inside sulci as depth map context.system( 'AimsMeshDistance', '-i', self.white_mesh, '-o', self.depth_texture, '-t', hulltex )