Reference

mia-2dmyocard-icaseries(1)

Run an ICA analysis on a series of 2D images

NAME

mia-2dmyocard-icaseries - Run an ICA analysis on a series of 2D images

SYNOPSIS

mia-2dmyocard-icaseries -i <in-file> [options]

DESCRIPTION

mia-2dmyocard-icaseries This program is used to run a ICA on a series of myocardial perfusion images given in a segmentation set in order to create sythetic references that can be used for motion correction by image registration. If the aim is to run a full motion compensation then it is better run mia-2dmyoica-nonrigid, since this program is essentially the same without the registration bits.

OPTIONS

File-IO

-i --in-file=(required, input); string

input perfusion data set

-r --references=(output); string

File name base for the reference images. Image type and numbering scheme are taken from the input images.

-c --save-cropped=(output); string

save cropped set of the original set to this file, the image files will use the stem of the name as file name base

--save-feature=(output); string

save the features images resulting from the ICA and some intermediate images used for the RV-LV segmentation with the given file name base to PNG files. Also save the coefficients of the initial best and the final IC mixing matrix.

Help & Info

-V --verbose=warning

verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:

trace ‐ Function call trace

debug ‐ Debug output

info ‐ Low level messages

message ‐ Normal messages

warning ‐ Warnings

fail ‐ Report test failures

error ‐ Report errors

fatal ‐ Report only fatal errors

-h --help

print this help

-? --usage

print a short help

--version

print the version number and exit

ICA

--fastica=internal

FastICA implementationto be used
For supported plugins see PLUGINS:fastica/implementation

-C --components=0

ICA components 0 = automatic estimation

--normalize

normalized ICs

--no-meanstrip

don't strip the mean from the mixing curves

-s --segscale=1.4

segment and scale the crop box around the LV (0=no segmentation)

-k --skip=0

skip images at the beginning of the series as they are of other modalities

-m --max-ica-iter=400

maximum number of iterations in ICA

-E --segmethod=features

Segmentation method

delta-feature ‐ difference of the feature images

delta-peak ‐ difference of the peak enhancement images

features ‐ feature images

Processing

--threads=-1

Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).

PLUGINS: fastica/implementation

internal

This is the MIA implementation of the FastICA algorithm.

(no parameters)

itpp

This is the IT++ implementation of the FastICA algorithm.

(no parameters)

EXAMPLE

Evaluate the synthetic references from set segment.set and save them to refXXXX.??? by using five independend components, and skipping 2 images. Per default a bounding box around the LV will be segmented and scaled by 1.4 and the cropped images will be saved to cropXXXX.??? and a segmentation set cropped.set is created. The image file type ??? is deducted from the input images in segment.set.

mia-2dmyocard-icaseries -i segment.set -r ref -o ref -k 2 -C 5

AUTHOR(s)

Gert Wollny

COPYRIGHT

This software is Copyright (c) 1999‐2015 Leipzig, Germany and Madrid, Spain. It comes with ABSOLUTELY NO WARRANTY and you may redistribute it under the terms of the GNU GENERAL PUBLIC LICENSE Version 3 (or later). For more information run the program with the option '--copyright'.

History

--fastica since Debian 10 (Buster).