mia-2dfluid-syn-registration

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=(required, input); io

test image
For supported file types see PLUGINS:2dimage/io

-r --ref-image=(required, input); io

reference image
For supported file types see PLUGINS:2dimage/io

-o --transform=(required, output); io

output transformation
For supported file types see PLUGINS:2dtransform/io

-O --inverse-transform=(required, output); 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’.