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only if you disregard the process of normalization. Its not as simple as voxel x in source image corresponds to voxel y in template image. The normalization depends on several factors, including intensity and smoothing parameters, so even if you could find code that attempts to do that it would be flawed. I would just code it up the way I said to do it, but good luck looking for the code that makes sense to you. Cheers On Sun, Jun 5, 2011 at 12:38 AM, Yonatan Dinai <[log in to unmask]> wrote: > Thanks Michael. > I think it would make sense to have a more straightforward function > that does a transformation for any set of input points. > > > > On Sun, Jun 5, 2011 at 8:08 AM, Michael T Rubens <[log in to unmask]> > wrote: > > Just estimate the transformation without writing, then write without > > estimating using the calculated transform to warp an image with the > > coordinates you want normalized set to 1, and all others 0. Then just > look > > for all non-zero voxels after the transformation. > > > > Cheers, > > Michael > > > > On Sat, Jun 4, 2011 at 9:49 PM, Yonatan Dinai <[log in to unmask]> > wrote: > >> > >> Hello all, > >> > >> I've used the "normalize" function of SPM, and was able to warp two > >> volumes succesfully. > >> > >> I would now like to use the output parameters of the normalization > >> process - the 4x4 matrix of the affine transformation & the 4D matrix > >> of the DCT coefficients to transform an input point (X,Y,Z in the > >> source volume) into it's mapped point in the reference coordinates? > >> > >> Does anybody has a code the computes that transformation? Is there > >> such a function on SPM? If not, I would be happy to hear of any fast > >> way to compute such a transformation. > >> > >> Thanks a lot, > >> > >> Yonatan > > > > > > > > -- > > Research Associate > > Gazzaley Lab > > Department of Neurology > > University of California, San Francisco > > > -- Research Associate Gazzaley Lab Department of Neurology University of California, San Francisco