Projection using Convolution Kernels

Description

Convolution kernels created from a cortical surface mesh allow to project 3D/4D volumes on this mesh, provided the kernels have been previously computed at the same resolution as the volumes. This second step creates surface-based representations of these volumes using these kernels.

This is the second step of the process for projection fMRI data onto the cortical surface. (see process Create Surface-Based Functional Data)

Parameters

white_mesh: Hemisphere White Mesh ( input )

intmesh represents the mesh of the inner cortical surface, i.e. the grey / white matter interface

kernels: Projection convolution kernels ( input )

kernels represents the convolution kernels, stored in a 4D volume and computed at the previous step (see Creation of Kernels for fMRI data projection)

fMRI_4D_data: 4D Volume ( input )

fMRI_4D_data is the volume to be projected on the surface. Check out that the kernels have the same size as the projected volume.

fMRI_surface_data: Functional Time Texture ( output )

fMRI_surface_data is the output projected data, stored as a mesh texture.

Technical information

Toolbox : Cortical Surface

User level : 0

Identifier : ProjectionUsingKernels

File name : brainvisa/toolboxes/cortical_surface/processes/functional/projection_to_cortical_surface/ProjectionUsingKernels.py

Supported file formats :

white_mesh :

GIFTI file, GIFTI file, MESH mesh, MNI OBJ mesh, PLY mesh, TRI mesh, Z compressed GIFTI file, Z compressed GIFTI file, Z compressed MESH mesh, Z compressed MNI OBJ mesh, Z compressed PLY mesh, Z compressed TRI mesh, gz compressed GIFTI file, gz compressed GIFTI file, gz compressed MESH mesh, gz compressed MNI OBJ mesh, gz compressed PLY mesh, gz compressed TRI mesh

kernels :

gz compressed NIFTI-1 image, BMP image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, JPEG image, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, TIFF image, TIFF(.tif) image, VIDA image, XBM image, XPM image, Z compressed ECAT i image, Z compressed ECAT v image, Z compressed GIS image, Z compressed SPM image, Z compressed VIDA image, gz compressed ECAT i image, gz compressed ECAT v image, gz compressed GIS image, gz compressed MINC image, gz compressed NIFTI-1 image, gz compressed SPM image, gz compressed VIDA image

fMRI_4D_data :

gz compressed NIFTI-1 image, BMP image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, JPEG image, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, TIFF image, TIFF(.tif) image, VIDA image, XBM image, XPM image, Z compressed ECAT i image, Z compressed ECAT v image, Z compressed GIS image, Z compressed SPM image, Z compressed VIDA image, gz compressed ECAT i image, gz compressed ECAT v image, gz compressed GIS image, gz compressed MINC image, gz compressed NIFTI-1 image, gz compressed SPM image, gz compressed VIDA image

fMRI_surface_data :

GIFTI file, GIFTI file, Texture