1 - Mask from SPMt

Very simple process that compute a brain mask from a SPMt map. This is an essential step since the mask is further used for computing the primal sketch of the SPMt.

Description

Very simple process that compute a brain mask from a SPMt map. This is an essential step since the mask is further used for computing the primal sketch of the SPMt. The size of the dilation (in mm) should be two to three times the voxel size.

Parameters

spmt: SPMt map ( input )

SPMt map

mask: Functional mask ( output )

Mask

dilation: Float ( input )

Size of the dilation (in mm)

Technical information

Toolbox : Structural analysis

User level : 2

Identifier : MaskFromSPMt

File name : brainvisa/toolboxes/structural_analysis/processes/volume_based/functional/MaskFromSPMt.py

Supported file formats :

spmt :

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

mask :

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