table of contents
LIPSIA     Applying a transformation matrix to fMRI time series
Transformation of fMRI time series: vfunctrans
Once a transformation matrix has been computed by 'vreg3d' (and perhaps also normalized by 'vnormalize') 'vfunctrans' can be applied to an fMRI time series.

Example:

vfunctrans -in bsAC1T.v -out tbsAC1T.v -trans AC1T_trans.v -resolution 3

This call transforms the fMRI time series contained in 'bsAC1T.v' into 3D space. For each time step, a 3D data volume is generated. The spatial resolution of these volumes is specified by the parameter '-resolution'. It denotes the size of each voxel in mm. Voxels are isotropic after this step. In the above example, the voxels in the output volumes will have a size of 3x3x3 mm. This is a reasonable choice in most cases.

Parameters of 'vfunctrans':
-help
Prints usage information.
-in
Input file. Default: (none)
-out
Output file. Default: (none)
-trans
File containing transformation matrix. Required.
-resolution
Output voxel resolution in mm. Default: 3
-minval
Signal threshold. Default: 0
-compress [ true | false ]
Whether to compress empty slices. Default: true


Max Planck Institute for Human Cognitive and Brain Sciences. Further Information: lipsia@cbs.mpg.de
Copyright © 2007 Max Planck Institute for Human Cognitive and Brain Sciences. All rights reserved.