Index
Contents
Name
mri_normalize - converts orig or nu volume into normalized white matter volume
Synopsis
mri_normalize <input directory> <output directory>
Arguments
Positional Arguments
<input directory> |
input directory |
<output directory> |
output directory |
Required Flagged Arguments
none
Optional Flagged Arguments
-no1d |
disable 1d normalization |
-nonmax_suppress (0/1) |
turn non-maximum suppression on (1) or off (0) when using interior of surfaces |
-conform |
interpolate and embed volume to be 256^3 |
-gentle |
perform kinder gentler normalization |
-f <path to file> |
use control points file (usually control.dat) |
-fonly <fname> |
use only control points file |
-lonly <fname> |
use only control points in label file |
-label <fname> |
use control points in label file |
-w <mri_vol c> <mri_vol b> |
write ctrl point(c) and bias field(b) volumes |
-a <float a> |
use control point with intensity a above target (default=25.0) |
-b <float b> |
use control point with intensity b below target (default=10.0) |
-g <float g> |
use max intensity/mm gradient g (default=1.000) |
-n <int n> |
use n 3d normalization iterations (default=2) |
-u |
print usage |
-prune <boolean> |
turn pruning of control points on/off (default=off). Useful if white is expanding into gm |
-MASK maskfile |
|
-atlas <path to gca> <path to gca transform> <min distance of control points from non-brain> |
use atlas to exclude control points from being in non-brain regions |
-noskull |
|
-monkey |
turns off 1d, sets num_3d_iter = 1 |
-nosnr |
disable snr normalization |
-sigma sigma |
smooth bias field |
-aseg aseg |
|
-renorm volume |
load volume and use all points in it that are exactly 110 as control points |
-checknorm volume min max |
load volume and remove all control points that aren't in [min max] in volume |
-r controlpoints biasfield |
for reading |
-surface <surface> <xform> |
normalize based on the skelaton oft he interior or the transformed surface |
-v Gvx Gvy Gvz |
for debugging |
-d Gx Gy Gz |
for debugging |
Outputs
wm |
wm volume of the cortical reconstruction is used as the input for mri_fill |
Description
Normalize the white matter, optionally based on control points. The input volume is converted into a new volume where white matter image values all range around 110.
Examples
Example 1
mri_normalize SUBJECT/mri/nu SUBJECT/mri/wm
Uses the nu volume (nonuniformity corrected volume), and creates the wm volume, with white matter voxels around 110 image value
Example 2
mri_normalize -noskull -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz
Uses the norm volume, and creates the brain volume, making use of the aseg and masking with brainmask.
Bugs
None
See Also
Links
References
"Cortical Surface-Based Analysis I: Segmentation and Surface Reconstruction", Dale, A.M., Fischl, B., Sereno, M.I. (1999) NeuroImage 9(2):179-194
Reporting Bugs
Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>