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mri_ca_train - ?? mri_ca_train - create a GCA from MNI and xfm files
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mri_ca_train [options] <subject 1> <subject 2> ... <output file> mri_ca_train [options] <subject 1> <subject 2> ... <output gca fname>
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none || -parc_dir || segmentation directory (path relative to $subject/mri||
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|| -spacing ||spacing of classifiers in canonical space||
|| -gradient ||use intensity gradient as input to classifier||
|| -spacing ||spacing of classifiers in canonical space||
|| -gradient ||use intensity gradient as input to classifier||
|| -mask volname ||use volname as a mask ||
|| -node_spacing ||spacing of classifiers in canonical space i.e. memory you devote to intensity distribution||
|| -prior_spacing ||spacing of class priors in canonical space i.e. memory you devote to prior probabity distributions||
|| -input name || specifying training data (path relative to $subject/mri). can specify multiple inputs. If not specified, "orig" is used||
|| -T1 || input volume (i.e. nu, norm.mgh etc ||
|| -xform || reference transform ||
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|| <output file> || output file || || <output file> || gca file - gaussian class array file, in this instance essentially a probabilistic map ||
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??
mri_ca_train -prior_spacing 2 -node_spacing 8 -mask brain -parc_dir esegatlast -xform manual_registration.xfm -T1 nu subject1 single_one.gca
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?? mri_ca_train -node_spacing 4 -prior_spacing 2 -parc_dir esegatlast -xform talairach_one.m3d -T1 norm_one.mgh $SUBJECTS multi_one.gca
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["othercommand1"], ["othercommand2"] ["mri_em_register"], ["mri_ca_normalize"]

Index TableOfContents

Name

mri_ca_train - create a GCA from MNI and xfm files

Synopsis

mri_ca_train [options] <subject 1> <subject 2> ... <output gca fname>

Arguments

Positional Arguments

<subject 1>

subject 1

<subject 2>

subject 2

<output file>

output file

Required Flagged Arguments

-parc_dir

segmentation directory (path relative to $subject/mri

Optional Flagged Arguments

-spacing

spacing of classifiers in canonical space

-gradient

use intensity gradient as input to classifier

-mask volname

use volname as a mask

-node_spacing

spacing of classifiers in canonical space i.e. memory you devote to intensity distribution

-prior_spacing

spacing of class priors in canonical space i.e. memory you devote to prior probabity distributions

-input name

specifying training data (path relative to $subject/mri). can specify multiple inputs. If not specified, "orig" is used

-T1

input volume (i.e. nu, norm.mgh etc

-xform

reference transform

Outputs

<output file>

gca file - gaussian class array file, in this instance essentially a probabilistic map

Description

??

Examples

Example 1

mri_ca_train -prior_spacing 2 -node_spacing 8 -mask brain -parc_dir esegatlast -xform manual_registration.xfm -T1 nu subject1 single_one.gca

Example 2

mri_ca_train -node_spacing 4 -prior_spacing 2 -parc_dir esegatlast -xform talairach_one.m3d -T1 norm_one.mgh $SUBJECTS multi_one.gca

Bugs

??

See Also

["mri_em_register"], ["mri_ca_normalize"]

Links

FreeSurfer

Methods Description

??

References

["References/Lastname###"]

Reporting Bugs

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

Author/s

BruceFischl

mri_ca_train (last edited 2008-04-29 11:45:06 by localhost)