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'''mris_ca_label''' - Automatically assigns a neuroanatomical label to each location on a cortical surface model. This procedure incorporates both geometric information derived from the cortical model (sulcus and curvature), and neuroanatomical convention, as found in a training set (see mris_ca_train). '''mris_ca_label''' - Automatically assigns a neuroanatomical label to each location on a cortical surface model. This procedure incorporates both geometric information derived from the cortical model (sulcus and curvature), and neuroanatomical convention, as found in a training set (see ["mris_ca_train"]).
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|| [options] || -sdir, -orig, -long, -novar, -norm, -sulc, -nbrs, -f, -v, -w, -r, -?, -u, --help, --version || || [options] || -sdir, -orig, -long, -novar, -nbrs, -f, -v, -w, -r, -?, -u, --help, --version ||
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|| -norm1 || GCSA normalize input #1 after reading (default: disabled) ||
|| -norm2 || GCSA normalize input #2 after reading (default: disabled) ||
|| -norm3 || GCSA normalize input #3 after reading (default: disabled) ||
|| -ic <number_priors> <number_classifiers> || parameters passed to the classifier routine (default: -ic 7 4) ||
|| -sulc || specify sulc as only input (default: sulcus and curvature) ||
|| -long || refines the initial labeling read-in from -r (default: disabled) ||
|| -r <filename> || file containing precomputed parcellation ||
|| -novar || sets all covariance matrices to the identify (default: disabled) ||
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|| -a <number> || number of averages (default=5) || || -f <number> || applies mode filter <number> times before writing output (default=10) ||
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|| -n <number> || number of inputs (default=1) || || -w <number> <filename> || writes-out snapshots of gibbs process every <number> iterations to <filename> (default=disabled) ||
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||outputfile|| ||outputfile|| labeled cortical surface model ||
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= Description =
??

= Examples =
== Example 1 ==
??

== Example 2 ==
??
= Example =
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?? ["mris_sample_parc"] ["mris_ca_train"]
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FreeSurfer, FsFast

= Methods Description =
??
CorticalParcellation, FreeSurfer, FsFast
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[https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl04-parcellation.pdf Automatically Parcellating the Human Cerebral Cortex], Fischl et al., (2004). Cerebral Cortex, 14:11-22.

Navigation(children) Index TableOfContents

Name

mris_ca_label - Automatically assigns a neuroanatomical label to each location on a cortical surface model. This procedure incorporates both geometric information derived from the cortical model (sulcus and curvature), and neuroanatomical convention, as found in a training set (see ["mris_ca_train"]).

Synopsis

mris_ca_label [options] <subject> <hemi> <canonsurf> <classifier> <outputfile>

Arguments

Positional Arguments

[options]

-sdir, -orig, -long, -novar, -nbrs, -f, -v, -w, -r, -?, -u, --help, --version

<subject>

subject id

<hemi>

hemisphere: rh or lh

<canonsurf>

canonical surface file

<classifier>

specify classifier array input file

<outputfile>

outputfile

Required Flagged Arguments

subject hemi canonsurf classifier outputfile

Optional Flagged Arguments

-sdir <subject dir>

specify a subjects directory (default=$SUBJECTS_DIR)

-orig <filename>

specify filename of original surface (default=smoothwm)

-long

refines the initial labeling read-in from -r (default: disabled)

-r <filename>

file containing precomputed parcellation

-novar

sets all covariance matrices to the identify (default: disabled)

-nbrs <number>

neighborhood size (default=2)

-f <number>

applies mode filter <number> times before writing output (default=10)

-t <filename>

specify parcellation table input file (default: none)

-v <number>

diagnostic level (default=0)

-w <number> <filename>

writes-out snapshots of gibbs process every <number> iterations to <filename> (default=disabled)

-?

print usage info

-u

same as -?

--help

print help info

--version

print version info

Outputs

outputfile

labeled cortical surface model

Example

Bugs

none

See Also

["mris_sample_parc"] ["mris_ca_train"]

Links

CorticalParcellation, FreeSurfer, FsFast

References

[https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl04-parcellation.pdf Automatically Parcellating the Human Cerebral Cortex], Fischl et al., (2004). Cerebral Cortex, 14:11-22.

Reporting Bugs

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

Author/s

BruceFischl

mris_ca_label (last edited 2013-11-11 12:40:07 by MaritzaEbling)