templatebrain objects encapsulate key information for the reference
brain in an image registration. Usually this will be a standard template
brain used for many registrations. It will normally be much more
convenient to use as.templatebrain methods to convert an image
file or an im3d object into a templatebrain.
templatebrain(name, regName = name, type = NULL, sex = NULL, dims = NULL, BoundingBox = NULL, voxdims = NULL, units = NULL, description = NULL, doi = NULL, ...)c('single brain', 'average'), indicating whether
the template brain has been created from just one image, or is the average
of multiple images.type=='average', the possibility of sex='intersex' exists.boundingbox).templatebrain object.templatebrain.
templatebrain objects. See
templatebrain-meths for basic methods. The two main functions
that are availavle for using template brains are xform_brain and
mirror_brain.templatebrain objects are only useful for transformation processes
when the BoundingBox is specified to define the physical extent of the
volume. We use the definition of the Amira 3D visualisation and analysis
software. This corresponds to the node centers option in the
NRRD format. The
bounding box can be obtained from NRRD or AmiraMesh format files. See
boundingbox for details.
as.templatebrain, templatebrain-meths,
xform_brain, mirror_brain.