Provided by: mia-tools_2.4.7-13_amd64 
NAME
mia-2dmyoset-all2one-nonrigid - Non-linear registration of a series of 2D images.
SYNOPSIS
mia-2dmyoset-all2one-nonrigid -i <in-file> -o <out-file> [options]
<PLUGINS:2dimage/fullcost>
DESCRIPTION
mia-2dmyoset-all2one-nonrigid This program runs non-rigid registration of a series of
images given in an image set. All images are registered to one user defined reference
image.
OPTIONS
File-IO
-i --in-file=(required, input); string
input perfusion data set
-o --out-file=(output, required); string
output perfusion data set
--out-filebase=reg
file name basae for registered files, file type is deducted from the image
file type in the input data set.
Registration
-k --skip=0
Skip images at the beginning of the series
-O --optimizer=gsl:opt=gd,step=0.1
Optimizer used for minimization
-l --mg-levels=3
multi-resolution levels
-f --transForm=spline
transformation type
For supported plugins see PLUGINS:2dimage/transform
-r --ref=-1
reference frame (-1 == use image in the middle)
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
--copyright
print copyright information
-h --help
print this help
-? --usage
print a short help
--version
print the version number and exit
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: 1d/splinebc
mirror Spline interpolation boundary conditions that mirror on the boundary
(no parameters)
repeat Spline interpolation boundary conditions that repeats the value at the boundary
(no parameters)
zero Spline interpolation boundary conditions that assumes zero for values outside
(no parameters)
PLUGINS: 1d/splinekernel
bspline B-spline kernel creation , supported parameters are:
d = 3; int in [0, 5]
Spline degree.
omoms OMoms-spline kernel creation, supported parameters are:
d = 3; int in [3, 3]
Spline degree.
PLUGINS: 2dimage/cost
lncc local normalized cross correlation with masking support., supported parameters
are:
w = 5; uint in [1, 256]
half width of the window used for evaluating the localized cross
correlation.
lsd Least-Squares Distance measure
(no parameters)
mi Spline parzen based mutual information., supported parameters are:
cut = 0; float in [0, 40]
Percentage of pixels to cut at high and low intensities to remove
outliers.
mbins = 64; uint in [1, 256]
Number of histogram bins used for the moving image.
mkernel = [bspline:d=3]; factory
Spline kernel for moving image parzen hinstogram. For supported plug-ins
see PLUGINS:1d/splinekernel
rbins = 64; uint in [1, 256]
Number of histogram bins used for the reference image.
rkernel = [bspline:d=0]; factory
Spline kernel for reference image parzen hinstogram. For supported plug-
ins see PLUGINS:1d/splinekernel
ncc normalized cross correlation.
(no parameters)
ngf This function evaluates the image similarity based on normalized gradient
fields. Various evaluation kernels are available., supported parameters are:
eval = ds; dict
plugin subtype. Supported values are:
sq ‐ square of difference
ds ‐ square of scaled difference
dot ‐ scalar product kernel
cross ‐ cross product kernel
ssd 2D imaga cost: sum of squared differences, supported parameters are:
autothresh = 0; float in [0, 1000]
Use automatic masking of the moving image by only takeing intensity values
into accound that are larger than the given threshold.
norm = 0; bool
Set whether the metric should be normalized by the number of image pixels.
ssd-automask
2D image cost: sum of squared differences, with automasking based on given
thresholds, supported parameters are:
rthresh = 0; double
Threshold intensity value for reference image.
sthresh = 0; double
Threshold intensity value for source image.
PLUGINS: 2dimage/fullcost
image Generalized image similarity cost function that also handles multi-resolution
processing. The actual similarity measure is given es extra parameter.,
supported parameters are:
cost = ssd; factory
Cost function kernel. For supported plug-ins see PLUGINS:2dimage/cost
debug = 0; bool
Save intermediate resuts for debugging.
ref =(input, io)
Reference image. For supported file types see PLUGINS:2dimage/io
src =(input, io)
Study image. For supported file types see PLUGINS:2dimage/io
weight = 1; float
weight of cost function.
labelimage
Similarity cost function that maps labels of two images and handles label-
preserving multi-resolution processing., supported parameters are:
debug = 0; int in [0, 1]
write the distance transforms to a 3D image.
maxlabel = 256; int in [2, 32000]
maximum number of labels to consider.
ref =(input, io)
Reference image. For supported file types see PLUGINS:2dimage/io
src =(input, io)
Study image. For supported file types see PLUGINS:2dimage/io
weight = 1; float
weight of cost function.
maskedimage
Generalized masked image similarity cost function that also handles multi-
resolution processing. The provided masks should be densly filled regions in
multi-resolution procesing because otherwise the mask information may get lost
when downscaling the image. The reference mask and the transformed mask of the
study image are combined by binary AND. The actual similarity measure is given
es extra parameter., supported parameters are:
cost = ssd; factory
Cost function kernel. For supported plug-ins see
PLUGINS:2dimage/maskedcost
ref =(input, io)
Reference image. For supported file types see PLUGINS:2dimage/io
ref-mask =(input, io)
Reference image mask (binary). For supported file types see
PLUGINS:2dimage/io
src =(input, io)
Study image. For supported file types see PLUGINS:2dimage/io
src-mask =(input, io)
Study image mask (binary). For supported file types see
PLUGINS:2dimage/io
weight = 1; float
weight of cost function.
PLUGINS: 2dimage/io
bmp BMP 2D-image input/output support. The plug-in supports reading and writing of
binary images and 8-bit gray scale images. read-only support is provided for
4-bit gray scale images. The color table is ignored and the pixel values are
taken as literal gray scale values.
Recognized file extensions: .BMP, .bmp
Supported element types:
binary data, unsigned 8 bit
datapool Virtual IO to and from the internal data pool
Recognized file extensions: .@
dicom 2D image io for DICOM
Recognized file extensions: .DCM, .dcm
Supported element types:
signed 16 bit, unsigned 16 bit
exr a 2dimage io plugin for OpenEXR images
Recognized file extensions: .EXR, .exr
Supported element types:
unsigned 32 bit, floating point 32 bit
jpg a 2dimage io plugin for jpeg gray scale images
Recognized file extensions: .JPEG, .JPG, .jpeg, .jpg
Supported element types:
unsigned 8 bit
png a 2dimage io plugin for png images
Recognized file extensions: .PNG, .png
Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit
raw RAW 2D-image output support
Recognized file extensions: .RAW, .raw
Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit,
signed 32 bit, unsigned 32 bit, floating point 32 bit, floating point 64
bit
tif TIFF 2D-image input/output support
Recognized file extensions: .TIF, .TIFF, .tif, .tiff
Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit, unsigned 32 bit
vista a 2dimage io plugin for vista images
Recognized file extensions: .-, .V, .VISTA, .v, .vista
Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit,
signed 32 bit, unsigned 32 bit, floating point 32 bit, floating point 64
bit
PLUGINS: 2dimage/maskedcost
lncc local normalized cross correlation with masking support., supported parameters
are:
w = 5; uint in [1, 256]
half width of the window used for evaluating the localized cross
correlation.
mi Spline parzen based mutual information with masking., supported parameters are:
cut = 0; float in [0, 40]
Percentage of pixels to cut at high and low intensities to remove
outliers.
mbins = 64; uint in [1, 256]
Number of histogram bins used for the moving image.
mkernel = [bspline:d=3]; factory
Spline kernel for moving image parzen hinstogram. For supported plug-ins
see PLUGINS:1d/splinekernel
rbins = 64; uint in [1, 256]
Number of histogram bins used for the reference image.
rkernel = [bspline:d=0]; factory
Spline kernel for reference image parzen hinstogram. For supported plug-
ins see PLUGINS:1d/splinekernel
ncc normalized cross correlation with masking support.
(no parameters)
ssd Sum of squared differences with masking.
(no parameters)
PLUGINS: 2dimage/transform
affine Affine transformation (six degrees of freedom)., supported parameters are:
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
rigid Rigid transformations (i.e. rotation and translation, three degrees of
freedom)., supported parameters are:
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
rot-center = [[0,0]]; 2dfvector
Relative rotation center, i.e. <0.5,0.5> corresponds to the center of the
support rectangle.
rotation Rotation transformations (i.e. rotation about a given center, one degree of
freedom)., supported parameters are:
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
rot-center = [[0,0]]; 2dfvector
Relative rotation center, i.e. <0.5,0.5> corresponds to the center of the
support rectangle.
spline Free-form transformation that can be described by a set of B-spline coefficients
and an underlying B-spline kernel., supported parameters are:
anisorate = [[0,0]]; 2dfvector
anisotropic coefficient rate in pixels, nonpositive values will be
overwritten by the 'rate' value..
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
kernel = [bspline:d=3]; factory
transformation spline kernel.. For supported plug-ins see
PLUGINS:1d/splinekernel
penalty = ; factory
Transformation penalty term. For supported plug-ins see
PLUGINS:2dtransform/splinepenalty
rate = 10; float in [1, inf)
isotropic coefficient rate in pixels.
translate Translation only (two degrees of freedom), supported parameters are:
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
vf This plug-in implements a transformation that defines a translation for each
point of the grid defining the domain of the transformation., supported
parameters are:
imgboundary = mirror; factory
image interpolation boundary conditions. For supported plug-ins see
PLUGINS:1d/splinebc
imgkernel = [bspline:d=3]; factory
image interpolator kernel. For supported plug-ins see
PLUGINS:1d/splinekernel
PLUGINS: 2dtransform/splinepenalty
divcurl divcurl penalty on the transformation, supported parameters are:
curl = 1; float in [0, inf)
penalty weight on curl.
div = 1; float in [0, inf)
penalty weight on divergence.
norm = 0; bool
Set to 1 if the penalty should be normalized with respect to the image
size.
weight = 1; float in (0, inf)
weight of penalty energy.
EXAMPLE
Register the perfusion series given in segment.set by optimizing a spline based
transformation with a coefficient rate of 16 pixel using Mutual Information and penalize
the transformation by using divcurl with aweight of 2.0.
mia-2dmyoset-all2one-nonrigid -i segment.set -o registered.set
-f spline:rate=16,penalty=[divcurl:weight=2.0] image:cost=mi,weight=2.0
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'.