Provided by: mia-tools_2.4.6-5build3_amd64 
NAME
mia-2dfluid-syn-registration - Non-linear registration of 2D images by using a
diffeomorphic SyN registration
SYNOPSIS
mia-2dfluid-syn-registration -i <in-image> -r <ref-image> -o <transform> -O
<inverse-transform> [options]
DESCRIPTION
mia-2dfluid-syn-registration This program implements the registration of two gray scale 2D
images. The transformation applied is a symmeric diffeomorpic fluid dynamic registration.
To work most efficiently, this program makes a few assumptions about the imput data, i.e.
the image must be of the same size, have the same voxel spacing, and any intensity range
normalization or equalization should also be done before calling this program.
OPTIONS
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
IO
-i --in-image=(input, required); io
test image
For supported file types see PLUGINS:2dimage/io
-r --ref-image=(input, required); io
reference image
For supported file types see PLUGINS:2dimage/io
-o --transform=(output, required); io
output transformation
For supported file types see PLUGINS:2dtransform/io
-O --inverse-transform=(output, required); io
inverse output transformation
For supported file types see PLUGINS:2dtransform/io
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).
Registration
-l --mg-levels=3
Number of multi-resolution levels to run the registration on. Not that some
registration parameters can be given as a coma seperated list to indicate
per level values. In these cases if the number of given values is smaller
than the number of multi-resolution levels (this parameter), the the last
given value is used for all subsequest multi-resolution levels.
-S --step=0.25; float in (0, 0.5]
Initial step size for all levels
-c --cost=ssd
Image similarity function to be minimized
For supported plugins see PLUGINS:2dimage/cost
-R --regularizer=sor:kernel=fluid,maxiter=50
Regularization for the force to transformation update
For supported plugins see PLUGINS:2dvf/regularizer
-T --conv-test-interval=; vuint in [4, 40]
Convergence test interations intervall: In order to measure convergence the
cost function value is averaged over this amount of iterations, and the
decline rate is evaluated based on the linare regression of the cost
function values in this intervall. This parameter can be given as a
coma-seperated list with values corresponding to the multi-resolution
levels, see option --mg-levels for more information.
-D --stop-decline-rate=; vdouble in [0, inf)
Stopping criterium for registration based on the cost decline rate. If the
rate below this value, the iteration is stopped. This parameter can be given
as a coma-seperated list with values corresponding to the multi-resolution
levels, see option --mg-levels for more information.
-C --stop-cost=
Stopping criterium for registration based on the cost value. If the cost
drops below this value, the iteration is stopped. This parameter can be
given as a coma-seperated list with values corresponding to the
multi-resolution levels, see option --mg-levels for more information.
-I --iter=; vuint in [4, inf)
Naximum number if iterations done on each multi-resolution level. This
parameter can be given as a coma-seperated list with values corresponding to
the multi-resolution levels, see option --mg-levels for more information.
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/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: 2dtransform/io
bbs Binary (non-portable) serialized IO of 2D transformations
Recognized file extensions: .bbs
datapool Virtual IO to and from the internal data pool
Recognized file extensions: .@
vista Vista storage of 2D transformations
Recognized file extensions: .v2dt
xml XML serialized IO of 2D transformations
Recognized file extensions: .x2dt
PLUGINS: 2dvf/regularizer
sor This plugin implements successive (over-)relaxation as a solver to regularize
the vector field., supported parameters are:
abs_f = 0.01; float in [0, inf)
breaking condition: absolute residuum.
kernel = fluid; factory
solver kernel to be used. For supported plug-ins see
PLUGINS:2dvf/regularizerkernel
maxiter = 100; uint in [0, inf)
maximum number of iterations.
rel_f = 1e-05; float in (0, 1)
breaking condition: relative residuum.
PLUGINS: 2dvf/regularizerkernel
fluid Evaluation kernel for the fluid-dynamics solver, either using successive
(over-)relaxation, or a Gauss-Southwell relaxation. This implementation is
generic and doesn't implement any architecture specific optimizations.,
supported parameters are:
lambda = 1; float in [0, 10000]
bulk viscosity (compressibility).
mu = 1; float in (0, 10000]
dynamic viscosity (shear).
relax = 1; float in [0.1, 2]
Relaxation parameter for the solver.
EXAMPLE
Register image test.v to image ref.v saving the transformation to transform.v and the
inverse transform to inverse-transform.v. Use three multiresolution levels, ssd as image
cost function.
mia-2dfluid-syn-registration -i test.v -r ref.v -t transform.v -T inverse-transform.v -l
3 ssd
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'.