Description Usage Arguments Details
You should almost always call xform
rather calling
thanxformpoints
directly.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  xformpoints(reg, points, ...)
## S3 method for class 'character'
xformpoints(reg, points, ...)
## S3 method for class 'cmtkreg'
xformpoints(
reg,
points,
transformtype = c("warp", "affine"),
direction = NULL,
FallBackToAffine = FALSE,
...
)
## S3 method for class 'reglist'
xformpoints(reg, points, ...)
## Default S3 method:
xformpoints(reg, points, ...)

reg 
A registration defined by a matrix, a function, a

points 
Nx3 matrix of points 
... 
Additional arguments passed to methods 
transformtype 
Which transformation to use when the CMTK file contains both warp (default) and affine 
direction 
Whether to transform points from sample space to reference
space (called inverse by CMTK) or from reference to sample space
(called forward by CMTK). Default (when 
FallBackToAffine 
Whether to use the affine transformation for points that fail to transform under a warping transformation. 
If a list of transformations is passed in, these transformations are
performed in sequence order, such that xformpoints(c(a,b,c), x) ==
xformpoints(c, (xformpoints(b, xformpoints(a, x))))
Note that the direction of CMTK registrations can be the source of much confusion. This is because CMTK defines the forward direction as the transform required to reformat an image in sample (floating) space to an image in template space. Since this operation involves filling a regular grid in template space by looking up the corresponding positions in sample space, the transformation that is required is (somewhat counterintuitively) the one that maps template to sample. However in neuroanatomical work, one often has points in sample space that one would like to transform into template space. Here one needs the inverse transformation.
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