mia-2dgroundtruthreg(1)

2dgroundtruthreg

Section 1 mia-tools bookworm source

Description

mia-2dgroundtruthreg

NAME

mia-2dgroundtruthreg - Registration of a series of 2D images

SYNOPSIS

mia-2dgroundtruthreg -i <in-file> -o <out-file> -A <alpha> -B <beta> -R <rho_thresh> [options]

DESCRIPTION

mia-2dgroundtruthreg This program implements the non-linear registration based on Pseudo Ground Thruth for motion compensation of series of myocardial perfusion images as described in

Chao Li and Ying Sun, ’Nonrigid Registration of Myocardial Perfusion MRI Using Pseudo Ground Truth’ , In Proc. Medical Image Computing and Computer-Assisted Intervention MICCAI 2009, 165-172, 2009.

Note that for this nonlinear motion correction a preceding linear registration step is usually required.

OPTIONS

File-IO

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

input perfusion data set

-o --out-file=(required, output); string

output perfusion data set

-r --registered=reg

file name base for registered files

Preconditions

-s --skip=2

skip images at beginning of series

-P --passes=4

number of registration passes

Pseudo-Ground-Thruth

-A --alpha=(required); double

spacial neighborhood penalty weight

-B --beta=(required); double

temporal second derivative penalty weight

-R --rho_thresh=(required); double

correlation threshold for neighborhood analysis

Registration

-O --optimizer=gsl:opt=gd,step=0.1

Optimizer used for minimization
For supported plugins see PLUGINS:minimizer/singlecost

-p --interpolator=bspline:d=3

image interpolator kernel
For supported plugins see PLUGINS:1d/splinekernel

-l --mr-levels=3

multi-resolution levels

-d --divcurl=20

divcurl regularization weight

--divcurl-divider=4

divcurl weight scaling with each new pass

-a --start-c-rate=32

start coefficinet rate in spines, gets divided by --c-rate-divider with every pass

--c-rate-divider=4

cofficient rate divider for each pass

-w --imageweight=1

image cost weight

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/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: minimizer/singlecost

gdas

Gradient descent with automatic step size correction., supported parameters are:

ftolr = 0; double in [0, inf)

Stop if the relative change of the criterion is below..

max-step = 2; double in (0, inf)

Maximal absolute step size.

maxiter = 200; uint in [1, inf)

Stopping criterion: the maximum number of iterations.

min-step = 0.1; double in (0, inf)

Minimal absolute step size.

xtola = 0.01; double in [0, inf)

Stop if the inf-norm of the change applied to x is below this value..

gdsq

Gradient descent with quadratic step estimation, supported parameters are:

ftolr = 0; double in [0, inf)

Stop if the relative change of the criterion is below..

gtola = 0; double in [0, inf)

Stop if the inf-norm of the gradient is below this value..

maxiter = 100; uint in [1, inf)

Stopping criterion: the maximum number of iterations.

scale = 2; double in (1, inf)

Fallback fixed step size scaling.

step = 0.1; double in (0, inf)

Initial step size.

xtola = 0; double in [0, inf)

Stop if the inf-norm of x-update is below this value..

gsl

optimizer plugin based on the multimin optimizers of the GNU Scientific Library (GSL) https://www.gnu.org/software/gsl/, supported parameters are:

eps = 0.01; double in (0, inf)

gradient based optimizers: stop when |grad| < eps, simplex: stop when simplex size < eps..

iter = 100; uint in [1, inf)

maximum number of iterations.

opt = gd; dict

Specific optimizer to be used.. Supported values are:

simplex - Simplex algorithm of Nelder and Mead
cg-fr - Flecher-Reeves conjugate gradient algorithm
cg-pr - Polak-Ribiere conjugate gradient algorithm
bfgs - Broyden-Fletcher-Goldfarb-Shann
bfgs2 - Broyden-Fletcher-Goldfarb-Shann (most efficient version)
gd - Gradient descent.

step = 0.001; double in (0, inf)

initial step size.

tol = 0.1; double in (0, inf)

some tolerance parameter.

nlopt

Minimizer algorithms using the NLOPT library, for a description of the optimizers please see ’http://ab-initio.mit.edu/wiki/index.php/NLopt_Algorithms’, supported parameters are:

ftola = 0; double in [0, inf)

Stopping criterion: the absolute change of the objective value is below this value.

ftolr = 0; double in [0, inf)

Stopping criterion: the relative change of the objective value is below this value.

higher = inf; double

Higher boundary (equal for all parameters).

local-opt = none; dict

local minimization algorithm that may be required for the main minimization algorithm.. Supported values are:

gn-direct - Dividing Rectangles
gn-direct-l - Dividing Rectangles (locally biased)
gn-direct-l-rand - Dividing Rectangles (locally biased, randomized)
gn-direct-noscal - Dividing Rectangles (unscaled)
gn-direct-l-noscal - Dividing Rectangles (unscaled, locally biased)
gn-direct-l-rand-noscale - Dividing Rectangles (unscaled, locally biased, randomized)
gn-orig-direct - Dividing Rectangles (original implementation)
gn-orig-direct-l - Dividing Rectangles (original implementation, locally biased)
ld-lbfgs-nocedal - None
ld-lbfgs - Low-storage BFGS
ln-praxis - Gradient-free Local Optimization via the Principal-Axis Method
ld-var1 - Shifted Limited-Memory Variable-Metric, Rank 1
ld-var2 - Shifted Limited-Memory Variable-Metric, Rank 2
ld-tnewton - Truncated Newton
ld-tnewton-restart - Truncated Newton with steepest-descent restarting
ld-tnewton-precond - Preconditioned Truncated Newton
ld-tnewton-precond-restart - Preconditioned Truncated Newton with steepest-descent restarting
gn-crs2-lm - Controlled Random Search with Local Mutation
ld-mma - Method of Moving Asymptotes
ln-cobyla - Constrained Optimization BY Linear Approximation
ln-newuoa - Derivative-free Unconstrained Optimization by Iteratively Constructed Quadratic Approximation
ln-newuoa-bound - Derivative-free Bound-constrained Optimization by Iteratively Constructed Quadratic Approximation
ln-neldermead - Nelder-Mead simplex algorithm
ln-sbplx - Subplex variant of Nelder-Mead
ln-bobyqa - Derivative-free Bound-constrained Optimization
gn-isres - Improved Stochastic Ranking Evolution Strategy
none - don’t specify algorithm

lower = -inf; double

Lower boundary (equal for all parameters).

maxiter = 100; int in [1, inf)

Stopping criterion: the maximum number of iterations.

opt = ld-lbfgs; dict

main minimization algorithm. Supported values are:

step = 0; double in [0, inf)

Initial step size for gradient free methods.

stop = -inf; double

Stopping criterion: function value falls below this value.

xtola = 0; double in [0, inf)

Stopping criterion: the absolute change of all x-values is below this value.

xtolr = 0; double in [0, inf)

Stopping criterion: the relative change of all x-values is below this value.

EXAMPLE

Register the perfusion series given by images imageXXXX.exr by using Pseudo Ground Truth estimation. Skip two images at the beginning and otherwiese use the default parameters. Store the result images to ’regXXXX.exr’.

mia-2dgroundtruthreg -i imageXXXX.exr -o regXXXX.exr -k 2

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’.