# -*- 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-B license 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-B license 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-B license and that you accept its terms. ''' BSA atlas probabilities ''' import urllib2, ctypes from soma import aims import numpy import anatomist.api as ana from PyQt4 import QtCore from PyQt4 import QtGui Qt = QtCore.Qt bsa_url = 'http://static.brainvisa.info/bsa/base2008_global/bsa_2008_global_atlas.nii' labelsfile = 'http://static.brainvisa.info/bsa/base2008_global/bsa_2008_global_atlas.csv' use_multirange = True labels = None def bsaClickHandler(eventName, params): pos=params['position'] win=params['window'] a = ana.Anatomist() wref = win.getReferential() print type( wref ) print type( wref ) print wref.refUuid mniref = a.mniTemplateRef print 'mni:', type( mniref ) #if mniref is not None: #mniref = a.Referential( a, mniref, mniref.uuid() ) tr = a.getTransformation( wref, mniref ) bsaw = BSAWindow._instance if bsaw is None: return lw = bsaw.centralWidget() if tr is None and wref != mniref: text = 'Window has no transformation to the MNI space referential.' lw.setText( text ) return if tr is not None: pos = tr.transform( pos[:3] ) hdrsz = 352 imgdim = [ 91, 109, 91, 145 ] vs = aims.AffineTransformation3d( [ 2., 0, 0, 0, 0, 2., 0, 0, 0, 0, 2., 0, 0, 0, 0, 1 ] ) s2m = aims.AffineTransformation3d( [ 1, 0, 0, 0, 0, -1, 0, 108, 0, 0, -1, 90, 0, 0, 0, 1 ] ) m2s = s2m.inverse() m2mni = aims.AffineTransformation3d( [ -1, 0, 0, 90, 0, -1, 0, 90, 0, 0, -1, 108, 0, 0, 0, 1 ] ) mni2s = ( m2mni * vs * s2m ).inverse() posvox = mni2s.transform( pos[:3] ) posvox = [ int(round(x)) for x in posvox ] if posvox[0] < 0 or posvox[0] >= imgdim[0] \ or posvox[1] < 0 or posvox[1] >= imgdim[1] \ or posvox[2] < 0 or posvox[2] >= imgdim[2]: lw.setText( 'Out of atlas space.' ) return offset0 = ( posvox[0] + posvox[1] * imgdim[0] + posvox[2] * imgdim[0]*imgdim[1] ) *4 + hdrsz offsets = [ t * imgdim[0]*imgdim[1]*imgdim[2]*4 + offset0 for t in xrange(imgdim[3]) ] req = urllib2.Request( bsa_url ) if use_multirange: req.headers['Range'] = 'bytes=' + ','.join( [ '%s-%s' % (offset, offset+3) \ for offset in offsets ] ) f = urllib2.urlopen(req) values = f.read() del f poff = 0 probs = [] for i in range( imgdim[3] ): p = values.find( 'Content-range: bytes', poff ) if p < 0: break p = values.find( '\n', p ) if p < 0: break p = values.find( '\n', p+1 ) if p < 0: break val = values[p+1:p+5] poff = p+6 # WARNING TODO: take byte order into account ! value = ctypes.cast( val, ctypes.POINTER( ctypes.c_float ) )[0] probs.append( value ) else: # slower probs = [] for offset in offsets: req.headers['Range'] = 'bytes=%s-%s' % (offset, offset+3) f = urllib2.urlopen(req) values = f.read() del f # WARNING TODO: take byte order into account ! value = ctypes.cast( values, ctypes.POINTER( ctypes.c_float ) )[0] probs.append( value ) global labels if labels is None: labels = urllib2.urlopen( labelsfile ).readlines() labels = [ l.strip().split(',') for l in labels[1:] ] text = '
Position: %f, %f, %f
index: | proba: | label: | common name: |
%d | %f | %s | %s |