mia-2dmyomilles {-i string} {-o string} [
options
...]
This program is use to run a modified version of the ICA based registration approach described in Milles et al. 'Fully Automated Motion Correction in First-Pass Myocardial Perfusion MR Image Sequences', Trans. Med. Imaging., 27(11), 1611-1621, 2008. Changes include the extraction of the quasi-periodic movement in free breathingly acquired data sets and the option to run affine or rigid registration instead of the optimization of translations only.
input perfusion data set
output perfusion data set
file name base for registered files
save reference images to this file base
save cropped set to this file
save segmentation feature images
registration criterion
Optimizer used for minimization. For supported plug-ins see Plugin type: minimizer/singlecost
transformation type. For supported plug-ins see Plugin type: 2dimage/transform
multi-resolution levels
registration passes
ICA components 0 = automatic estimation
don't normalized ICs
don't strip the mean from the mixing curves
use initial guess for myocardial perfusion
segment and scale the crop box around the LV (0=no segmentation)
skip images at the beginning of the series as they are of other modalities
maximum number of iterations in ICA
Segmentation method
| delta-peak: | difference of the peak enhancement images |
| features: | feature images |
| delta-feature: | difference of the feature images |
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
| info: | Low level messages |
| trace: | Function call trace |
| fail: | Report test failures |
| warning: | Warnings |
| error: | Report errors |
| debug: | Debug output |
| message: | Normal messages |
| fatal: | Report only fatal errors |
print copyright information
print this help
print a short help
print the version number and exit
Register the perfusion series given in 'segment.set' by using automatic ICA estimation. Skip two images at the beginning and otherwiese use the default parameters. Store the result in 'registered.set'.
mia-2dmyomilles -i segment.set -o registered.set -k 2