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spatialsmooth-sess - 3D Gaussian smoothing using FSL IP
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spatialsmooth-sess - 3D Gaussian ["Smoothing"] using ["FSL"] IP
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-i instem
  input functional volume stem

-o outstem
  output functional volume stem

-fwhm
  gaussian fwhm (sigma = fwhm/2.36)

-s [sessid] or -sf [sessidfile]

-d [srchdir] or -df [srchdirfile]
}}}
|| -i [instem] || input functional volume stem ||
|| -o [outstem] || output functional volume stem ||
|| -fwhm [fwhm] || gaussian fwhm (sigma = fwhm/2.36) ||
|| -s [sessid] or -sf [sessidfile] || ||
|| -d [srchdir] or -df [srchdirfile] || ||
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-fsd [fsdir]    -noinorm
 
do not intensity norm smoothed volume

-umask umask
  set unix file permission to
[umask]

-version
 
print version and exit

-help
 
print help and exit
}}}
|| -fsd [fsdir] || ||
|| -noinorm ||
do not intensity norm smoothed volume ||
||
-umask [umask] || set unix file permission to [umask] ||
||
-version       || print version and exit ||
||
-help          || print help and exit ||
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{{{
volume1 - description
volume2 - description
}}}
|| [outstem] || smoothed volume ||
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spatialsmooth-sess performs 3D Gaussian spatial smoothing using the ["FSL"] IP program. It will operate on the input volume in each run. The output volume will be placed in the same directory. FWHM is the full-width, half-maximum of the spatial filter gaussian (sigma = fwhm/2.36). spatialsmooth-sess performs 3D Gaussian spatial ["Smoothing"] using the ["FSL"] IP program. It will operate on the input volume in each run. The output volume will be placed in the same directory. FWHM is the full-width, half-maximum of the spatial filter gaussian (sigma = fwhm/2.36).
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Smooth the motion corrected volume with a gaussian kernel with FWHM of 5 mm. The result will be placed in the volume fmcsm5. This is the stem that should be referenced when creating the anlysis. It will also automatically run intensity normalization (ie, inorm-sess) for the smoothed volume unless -noinorm is specified.
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Smooth the motion corrected volume with a gaussian kernel with FWHM of 5 mm. The result will be placed in the volume fmcsm5. This is the stem that should be referenced when creating the anlysis. It will also automatically run intensity normalization (ie, ["inorm-sess"]) for the smoothed volume unless -noinorm is specified.
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Name

spatialsmooth-sess - 3D Gaussian ["Smoothing"] using ["FSL"] IP

Synopsis

spatialsmooth-sess -i [instem] -o [outstem] -fwhm [fwhm] -s [sessid] or -sf [sessidfile] -d [srchdir] or -df [srchdirfile] [<options>]

Positional Arguments

none

Required Flagged Arguments

-i [instem]

input functional volume stem

-o [outstem]

output functional volume stem

-fwhm [fwhm]

gaussian fwhm (sigma = fwhm/2.36)

-s [sessid] or -sf [sessidfile]

-d [srchdir] or -df [srchdirfile]

Optional Flagged Arguments

-fsd [fsdir]

-noinorm

do not intensity norm smoothed volume

-umask [umask]

set unix file permission to [umask]

-version

print version and exit

-help

print help and exit

Outputs

[outstem]

smoothed volume

Description

spatialsmooth-sess performs 3D Gaussian spatial ["Smoothing"] using the ["FSL"] IP program. It will operate on the input volume in each run. The output volume will be placed in the same directory. FWHM is the full-width, half-maximum of the spatial filter gaussian (sigma = fwhm/2.36).

Example 1

spatialsmooth-sess -s sessid -d sessdir -i fmc -o fmcsm5 -fwhm 5

Smooth the motion corrected volume with a gaussian kernel with FWHM of 5 mm. The result will be placed in the volume fmcsm5. This is the stem that should be referenced when creating the anlysis. It will also automatically run intensity normalization (ie, ["inorm-sess"]) for the smoothed volume unless -noinorm is specified.

Example 2

spatialsmooth-sess

description

See Also

["inorm-sess"]

Author/s

DougGreve

Links

FsFast, ["FSL"]

References

None

Reporting Bugs

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

Methods Description

The data were smoothed using a 3D Gaussian kernel with FWHM [fwhm]mm.

Category

CategoryFsFastCommandsSmoothing

spatialsmooth-sess (last edited 2008-04-29 11:45:26 by localhost)