GroupTransform
GroupTransform prepares functional images from various subjects for
group analysis. Any combination of the following steps can be
performed in any order: cross-registration, reslicing, normalization,
and smoothing. For more information, see the help documents for the
individual steps.
Invocation
java GroupTransform [sub01 sub02 ...]
This starts up the java interpreter and runs the GroupTransform
application. A list of subjects can be provided on the command line.
You need to have
set up your environment for java
in order for this to work.
GroupTransform window
This window is separated into different sections which can be
accessed at any time by clicking on the tab labeled for each section.
Information to be entered
- Functional images
- List of subjects
Subjects to process. Subject identifiers should be separated by spaces, and each identifier should correspond to a directory in the subject input directory. The subject list can be provided on the command line as arguments to the java invocation.
- Subject input directory
Directory containing subject directories, each of which should contain a directory with functional images or a filelist of functional images.
- Subject output directory
Directory where the output files
and directories will be created. This directory must be writable. Must
be specified only if different from the subject input directory.
- Directory with functional images
Text file with
filenames of functional images to be processed, or the name of a
directory with such images. The images can be compressed or in a
read-only partition, as they are not modified in any way (unless
Normalize is the first step in the sequence; Normalize will try to
uncompress any compressed images it finds). This file or directory
must be within each individual subject's directory, which in turn is
within the subject input directory.
- Functional slice with AC/PC
Slice number of the slice
(in the functional image) containing the Anterior Commisure, where
slice 1 is the top slice in the volume. The Anterior Commisure can be
outside the scope of the slices for the functional image.
- Output subdirectories...
In this window you can specify the names of output subdirectories (relative
to each subject's output directory) that are created by Reslice, Normalize,
and Smooth.
- Compress input images when finished
Check this box if you want input images to be compressed (gzipped)
after processing so as to save disk space.
- Structural images
- Directory with structural images
Directory that contains the structural images that are to be aligned to the standard reference image.
- Subject used for std. ref. image
Subject to use as standard
reference image for registration. This subject's structural image must be in
the structs directory, and all the other subjects' structural image dimensions
must match this one.
- Suffix for stripped structurals
Suffix after the subject
identifier used in all the subjects' stripped structural images.
- Structural slice with AC/PC
Slice number of the slice (in
the structural image) containing the Anterior Commisure, where slice 1 is the top slice
in the volume. If the Anterior Commisure is not within the scope of the slices for the
structural image, another reference slice (one that is within scope) should be chosen.
These parameters will be used to align the functional and the structural images along the Z dimension.
- Structural subdirectories...
In this window you can specify the names of directories inside the
structs directory where CrossRegister will create .air files and
resliced and shrunken images.
- View CrossRegister results
Check this box if you want
to view the standard reference image and the original and resliced
images for each subject after cross-registration is complete.
- Parameters
- Background Thresholds
The thresholds for the standard reference image and for other
structural images are passed to CrossRegister, which in turn passes them
to alignlinear when aligning other structural images to the standard
reference image in creating .air files to be used by Reslice. The
threshold for functional images is passed to Normalize.
- Global image mean for normalization
Target mean value to use when normalizing images.
- Smoothing parameter
Smoothing parameter, full-width half-max in millimeters.
- Parallelism
Number of subjects (or number of images for
Smooth) to process simultaneously. A parallelism setting of 1 will
process all subjects sequentially. The parallelism level chosen
should not exceed the number of processors available, otherwise
performance will suffer. If the parallelism level exceeds the number
of subjects being processed, the number of subjects will be used as
the parallelism level.
- Processing sequence
This section allows any combination
of steps to be performed in any sequence.
- Choices and Sequence lists
Items can be added to the Sequence list by double-clicking on an
individual item or by highlighting an item and then clicking the Insert
button. You can select or deselect multiple items by option-clicking on
each item. Similarly for deleting items from the Sequence list. The
items in the Sequence list will be run in order when the Run button is
clicked. During the run, the step being performed will be highlighted
in the Sequence list.
- Show
The Show button will show the windows for each step in the Sequence. These
individual windows can be closed at any time without any adverse effects.
Note: Parameters in the GroupTransform window override parameters in the
individual windows when the Run button in the GroupTransform window is
clicked.
- Check
The Check button will perform preliminary checks and will print out the
number of input images, the location of the reference image, and the
location of the structs directory. The preliminary checks will also be
performed automatically upon clicking the Run button.
Note: functional images for all subjects are assumed to have the same
dimensions and the same X and Y voxel sizes; if a given subject's X or Y
dimensions differ from the rest, an error will occur. Functional images
can have Z voxel sizes that are different from those of other subjects;
the resulting functionals (after reslicing) will have Z voxel sizes equal
to those of the standard reference image. The dimensions and X and Y
voxel sizes of functional images after reslicing will be the same as
those prior to reslicing.
Last updated Mon Jul 31 10:12:34 EDT 2000