Création d'un volume 3D de sillons étiquetés
Cette brique permet de creer un volume de labels contenant certains buckets, au choix les surfaces simples, les fonds de sillons, l'intersection avec l'enveloppe du cerveau, ou l'ensemble. Les noms portés par chaque noeud du graphe de sillon sont tout d'abord convertis en suivant le dictionnaire (le fichier de traduction). Cette commande crache ensuite qqpart un fichier de conversion nom/label, a priori la ou vous avez lance brainVISA. Cette brique demande de fortes améliorations:-) This procedure creates 3D volumes including various parts of the sulci. For instance to compute SPAMs of their variability in the proportional system, or to use them as constraint in a warping process. In these volumes, each sulcus is represented by an integer label. These labels are associated either to the "name" attributes of the folds (manual or validated) or to the "label" attributes (automatic recognition). By default, the procedure uses "labels" if they exist, otherwise "name". This procedure is used with a cortical fold graph, whose nodes have been manually or automatically associated to a sulcus nomenclature.
Each fold includes several buckets of voxels corresponding to the topologically simple surface making up its core (GREEN), its bottom lines (including branche's bottoms) (RED) and a few additional voxels corresponding to small or spurious branches (CYAN). Here is the example of a central sulcus:
You can get images of the bottom, of the simple surface or the sum of everything. You can also get the junction between each sulcus and the brain hull, which corresponds to the line which is sometimes drawn manually by some teams. Anatomist's viewer show you the result (the eyes):
If you want to get only one sulcus, or a small list of sulci, write their label in the attibute "label_values". For instance "S.C._left" or "S.C._left S.F.sup._left":
graph: Graphe de sillons corticaux ( entrée )
mri: IRM T1 Biais Corrigé ( optional, entrée )
transformation_matrix: Transformation matrix ( optional, entrée )
transformation_template: Volume 3D ( optional, entrée )
transformation: Choice ( optional, input )
binarize: Choice ( optional, input )
sulci: Sulci Volume ( sortie )
simple_surface: Simple Surface Volume ( optional, sortie )
bottom: Bottom Volume ( optional, sortie )
hull_junction: Hull Junction Volume ( optional, sortie )
compress: Choice ( input )
bucket: Choice ( input )
custom_buckets: String ( optional, input )
label_translation: Label translation ( optional, entrée )
input_int_to_label_translation: Log file ( optional, entrée )
int_to_label_translation: Log file ( optional, sortie )
label_attributes: Choice ( input )
custom_label_attributes: String ( optional, input )
node_edge_types: Choice ( input )
custom_node_edge_types: String ( optional, input )
label_values: String ( optional, input )
Toolbox : Morphologist
Niveau d'utilisateur : 2
Identifiant :
sulcuslabelvolume
Nom de fichier :
brainvisa/toolboxes/morphologist/processes/Sulci/Recognition/sulcuslabelvolume.py
Supported file formats :
graph :Graph and datamri :GIS image, VIDA image, NIFTI-1 image, MINC image, gz compressed MINC image, DICOM image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, TIFF(.tif) image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v imagetransformation_matrix :Transformation matrixtransformation_template :GIS image, Z compressed GIS image, gz compressed GIS image, VIDA image, NIFTI-1 image, gz compressed ECAT i image, MINC image, gz compressed MINC image, DICOM image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, TIFF(.tif) image, gz compressed VIDA image, Z compressed VIDA image, Z compressed ECAT i image, gz compressed ECAT v image, ECAT i image, Z compressed ECAT v image, PNG image, JPEG image, MNG image, GIF image, Z compressed SPM image, SPM image, gz compressed SPM image, ECAT v imagesulci :GIS image, VIDA image, NIFTI-1 image, MINC image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v imagesimple_surface :GIS image, VIDA image, NIFTI-1 image, MINC image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v imagebottom :GIS image, VIDA image, NIFTI-1 image, MINC image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v imagehull_junction :GIS image, VIDA image, NIFTI-1 image, MINC image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v imagelabel_translation :Label Translationinput_int_to_label_translation :Text fileint_to_label_translation :Text file