Compute pairwise distances for a given sulcus

None

Parameters

study_dir: DISCO Study Dir ( input )

sulci_to_be_studied: Sulci To Be Studied DISCO ( input )

side: Choice ( input )

ref_graph: Cortical folds graph ( input )

ref_t1mri_nobias: T1 MRI ( input )

graph_list: ListOf( Cortical folds graph ) ( input )

t1mri_nobias_list: ListOf( T1 MRI ) ( input )

attribute: Choice ( input )

label_translation: Label translation ( input )

sulci: ListOf( OpenChoice ) ( input )

output: Text file ( output )

Technical information

Toolbox : Disco

User level : 2

Identifier : pairwise_distance_for_sulcus

File name : brainvisa/toolboxes/disco/processes/Tools/pairwise_distance_for_sulcus.py

Supported file formats :

study_dir :

Directory, Directory

sulci_to_be_studied :

Text file, Text file

ref_graph :

Graph and data, Graph and data

ref_t1mri_nobias :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

graph_list :

Graph and data, Graph and data

t1mri_nobias_list :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

label_translation :

Label Translation, Label Translation

output :

Text file, Text file