mia-2dmyoset-all2one-nonrigid

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=(required, output); 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’.