Differences between revisions 4 and 5
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|| invol || input volume || || invol  || input volume     ||
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|| outvol || output volume || || outvol || output volume    ||
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|| -mask brainmask || ||
|| -invert-and-save gcamfile || ||
|| -dist distance || ||
|| -regularize regularize || ||
|| -regularize-mean regularizemean || ||
|| -scale_smoothness smoothness || ||
|| -nobright || ||
|| -renormalize || ||
|| -read_lta || ||
|| -smoothness smoothness || ||
|| -samples samples || ||
|| -nsmall nsmall || ||
|| -fixed || ||
|| -optimal || ||
|| -noneg noneg || ||
|| -wm || ||
|| -min_avgs <n> || ||
|| -tl || ||
|| -relabel relable || ||
|| -relabel_avgs relable_avgs || ||
|| -reset_avgs reset_avgs || ||
|| -vf vf_fname || ||
|| -diag diagfname || ||
|| -tr tr || ||
|| -te te || ||
|| -example T1 seg || ||
|| -<no>bigventricles || ||
|| -mask <brainmask> || use MR volume brainmask to mask input volume ||
|| -invert-and-save <gcamfile> || load, invert and save gcamfile, then exit||
|| -dist distance || l_dist = distance ||
|| -regularize <reg> || regularize variance to be sigma +reg (noise) ||
|| -regularize-mean <regmean> || regularize means to be regmean u(global) + (1-regmean) u(r)||
|| -scale_smoothness <bool> || scale (or not scale) smooothness coefficient (default=1) setting npasses=2 ||
|| -nobright || remove bright non-brain structures ||
|| -renormalize || renormalize GCA to MAP estimate of means||
|| -read_lta || read LTA from <base-name>.lta ||
|| -smoothness <real> || l_smoothness = real ||
|| -samples <cpfile> || write control points to <cpfile> ||
|| -nsmall <int> || allow int small steps before terminating integration||
|| -fixed || use fixed time-step integration ||
|| -optimal || use optimal time-step integration ||
|| -noneg bool || allow or not allow temporary folds during numerical minimization ||
|| -wm || register white matter in initial pass ||
|| -min_avgs <n> || setting min # of averages to n (default 0) ||
|| -tl <file> ||read temporal lobe atlas from <file> ||
|| -relabel bool ||relabel or not relabel nodes with MAP estimates ||
|| -relabel_avgs real || relabel nodes with MAP estimates at avgs=real ||
|| -reset_avgs real || reset metric properties at avgs=real ||
|| -vf <vf_fname> || write vector field to <vf_fname> ||
|| -diag <diagfname> || open diagfname for writing ||
|| -tr real || use TR=real msec ||
|| -te real || use TE=real msec ||
|| -example <T1> <seg> || use T1 and seg as example T1 and segmentations respectively ||
|| -<no>bigventricles || handle expanded ventricles ||
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|| -secondpassrenorm || || || -secondpassrenorm || perform 2nd-pass renormalization ||

Index

Name

mri_register - high-dimensional alignment with canonical atlas

Synopsis

mri_register [options] invol refvol outvol

Arguments

Positional Arguments

invol

input volume

refvol

reference volume

outvol

output volume

Required Flagged Arguments

None

Optional Flagged Arguments

-align

-T lta

-mask <brainmask>

use MR volume brainmask to mask input volume

-invert-and-save <gcamfile>

load, invert and save gcamfile, then exit

-dist distance

l_dist = distance

-regularize <reg>

regularize variance to be sigma +reg (noise)

-regularize-mean <regmean>

regularize means to be regmean u(global) + (1-regmean) u(r)

-scale_smoothness <bool>

scale (or not scale) smooothness coefficient (default=1) setting npasses=2

-nobright

remove bright non-brain structures

-renormalize

renormalize GCA to MAP estimate of means

-read_lta

read LTA from <base-name>.lta

-smoothness <real>

l_smoothness = real

-samples <cpfile>

write control points to <cpfile>

-nsmall <int>

allow int small steps before terminating integration

-fixed

use fixed time-step integration

-optimal

use optimal time-step integration

-noneg bool

allow or not allow temporary folds during numerical minimization

-wm

register white matter in initial pass

-min_avgs <n>

setting min # of averages to n (default 0)

-tl <file>

read temporal lobe atlas from <file>

-relabel bool

relabel or not relabel nodes with MAP estimates

-relabel_avgs real

relabel nodes with MAP estimates at avgs=real

-reset_avgs real

reset metric properties at avgs=real

-vf <vf_fname>

write vector field to <vf_fname>

-diag <diagfname>

open diagfname for writing

-tr real

use TR=real msec

-te real

use TE=real msec

-example <T1> <seg>

use T1 and seg as example T1 and segmentations respectively

-<no>bigventricles

handle expanded ventricles

-uncompress

-secondpassrenorm

perform 2nd-pass renormalization

Outputs

outvol

output volume

Description

??

Examples

Example 1

mri_ca_register -align -mask brainmask.mgz \
    -T transforms/talairach.lta norm.mgz \
    $FREESURFER_HOME/average/RB_all_2006-02-15.gca \
    transforms/talairach.m3z

Example 2

??

Bugs

None

See Also

othercommand1, othercommand2

Links

FreeSurfer, FsFast

Methods Description

??

References

References/Lastname###

Reporting Bugs

Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>

Author/s

BruceFischl

mri_register (last edited 2008-11-04 13:03:57 by MartinReuter)