Individualize labeled volume

In the NSA project, this process enables to individualize each brain in the matrix.

Parameters

Input_ListOf_Image: ListOf( 3D Volume ) ( input )

Upload list of 2d matrix(multiple brains) to be individualized.

Input_ListOf_BoundingBox: ListOf( Text file ) ( input )

Select the list of the bounding box files.

Borders: ListOf( Float ) ( optional, input )

Enter the border size [sx sy sz] (default : [0,0,0] in mm).

Thickness: Float ( input )

Output_Prefix: String ( optional, input )

Enter the prefix that will be used to create the names of output volumes.

Output_Directory: Directory ( optional, input )

Specify the output directory in which the volumes will be stored.

Output_ListOf_Volume: ListOf( 3D Volume ) ( output )

Specify the list of output volumes.

Technical information

Toolbox : Bioprocessing

User level : 3

Identifier : IndividualizeLabeledImage

File name : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/IndividualizeLabeledImage.py

Supported file formats :

Input_ListOf_Image :

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

Input_ListOf_BoundingBox :

Minf, Minf

Output_Directory :

Directory, Directory

Output_ListOf_Volume :

gz compressed NIFTI-1 image, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, GIS image, JPEG image, MINC image, NIFTI-1 image, SPM image, TIFF image, TIFF(.tif) image, gz compressed MINC image, gz compressed NIFTI-1 image