Afni3dvolreg
Afni3dvolreg is a wrapper for the AFNI (RW Cox, NIH) 3dvolreg application.
3dvolreg -- Program to do 3D volume registration of a 3D+time series.
For more information about the AFNI package, see the AFNI
Homepage
To see the AFNI postscript documentation please go here.
To read the help documentation generated from the command line go here.
To learn about afni data types follow this link.
Invocation
java Afni3dvolreg
This starts up the java interpreter and runs the Afni3dvolreg
application. You need to have
set up your environment for java
in order for this to work.
Afni3dvolreg window
Information to be entered
- Input dataset
This is the file to be registered.
- Output prefix
This is the prefix the output file will have.
- Verbosity
This indicates the level of verbosity when running the program
- Final interpolation
This is the method of interpolation used when performing alignments
- Zero pad edges with N voxels
Pad the edges by N voxels containing the value zero.
- Time shift to slice
If the input dataset is 3d + time, the slices will be time shifted to this slice prior to spatial registration.
- Clip output sub brick values
The values in each ouput sub brick will be clipped so that it will be the same range as the corresponding input volume.
- Output 3drotate commands
Fragmentary 3drotate commands needed to do the relalignments will be printed.
- Write 9 column file
The motion parameters will be written to this file as a 9 column ascii file. To understand to the format go here.
- Write 6 column file
The motion parameters will be written to this file as a 6 column ascii file containing roll, pitch, yaw, dS, dL, and dP. This file can be used with fim as an ort file.
- Enable overwrites
Allow files to be overwritten with motion parameter data.
- 9 column file
The parameters from the 9 column ascii file will be displayed.
- 6 column file
The parameters from the 6 column ascii file will be displayed.
- Rotation parent
The dataset given will be used in an additional transformation before computing the final output dataset.
- Grid parent
The input dataset will be shifted to match the grid of this dataset.
- Select base sub brick from input or selected dataset
This sets the sub brick from the base dataset.
- Select dataset
The dataset given will be used as the base brick.
- Iteration Options...
These are options which control the iterated linearized weighted least squares algorithm.
- Iteration Options... Maximum iterations
This sets the maximum number of iterations for convergence.
- Iteration Options... Movement threshold
Iterations converge when maximum movement is less than this value in voxels.
- Iteration Options... Distance in voxel size
This is the distance used to comupte image derivatives using finite differences.
- Iteration Options... Rotation threshold
Iterations converge when maximum rotation is less than this degrees.
- Iteration Options... Autotrim intermediate volumes
Intermediate volumes will be trimmed to a smaller region (determined by the weight volume).
This is a measure to conserve memory.
- Iteration Options... Use first sub-brick as weight in final pass
The first sub-brick of the input dataset will be used as the weight volume during the final pass.
- Iteration Options... Interpolation for estimation parameters
This method is used to perform the initial interpolation.
- Iteration Options... Perform edging on base brick
This region around the edges of the base volume will have the default weight set to zero. This region can be specified in pixels or a percentage of brick size.
- Iteration Options... Set weighting
The weighting applied to each voxel is made proprotional to the brick specified.
- Iteration Options... Select sub brick
This is the sub brick of the dataset to be used for weighting.
- Iteration Options... Enable two passes
Allow two passes of the registration algorithm to be performed on the input dataset.
- Iteration Options... Copy base brick origin
Make the output dataset have the same origin as the base dataset.
- Iteration Options... Blurring factor
This sets the blurring factor of the first pass of the registration algorithm.
- Iteration Options... Steps
This is the number of steps along each direction when performing coarse shifts in the first pass.
- Iteration Options... Step size
This is the size of the steps in voxels.
Last updated Thu Jan 10 17:20:02 EST 2002