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 :

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 image

mask :

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 image