NIS (NeuroImaging Software) misc programs
Source code for these programs is provided in the misc
directory. These programs are not part of the standard release,
because they have been superceded, or they only compile on some but
not all platforms, or they require other libraries or programs that
are not distributed with NIS. If you need any of these programs, you
may be able to compile and use them on your platform; please contact
the NIS package maintainer for special instructions. In future NIS
releases these programs will be incorporated in the standard release
or retired completely.
- nisclust -- perform cluster size thresholding statistics on a
given image space for a given smoothing level.
status: requires MATLAB
- niscorrect -- performs baseline correction, outlier
correction, and polynomial detrend of image space timeseries vectors.
status: requires pgh I/O libraries and Numerical Recipes in C
- nisefw -- estimates the amount of smoothing (calculated as an
estimated gaussian filter width) in an image.
status: does not compile on all platforms; requires Numerical Recipes libs.
- nisfilter -- convolves input pgh txyz dataset voxelwise
with input filter.
status: requires pgh I/O libraries and Numerical Recipes in C
- nishemo -- generates model hemodynamic functions: gaussian,
poisson, gamma, and identity.
status: requires Numerical Recipes in C
- nismean -- unknown
- nismra -- (mra_mask.c) create mask file from MR Angiography image.
status: not been tested recently
- nisover -- overlays a thresholded functional image map
onto a corresponding structural image. The functional image can
contain both positive and negative values (displayed as white and
black, respectively), or positive values exclusively.
man page
status: superceded by nisoverlay
- nisshift -- shifts a functional image to bring it into
register with its corresponding oblique structural image. It reads the
header of the raw structural images to calculate the proper X and Y
shifts.
man page
status: obsolete; not been tested recently
- nisvar -- unknown
status: unknown