Description Usage Arguments Value Author(s) Examples
Diffeomorphic registration-based cortical thickness based on probabilistic segmentation of an image. This is an optimization algorithm.
1 | KellyKapowski( d=3, s=simg, g=gimg, w=wimg, c="[45,0.0,10]", r=0.5, m=1, o=oimg )
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imageDimension 2|3|4 |
Number of dimensions of the input image |
inputImage |
Input image to operate on |
s |
segmentation image |
g |
gray matter probability image |
w |
white matter probability image |
c |
convergence params - first controls iterations |
r |
gradient descent update parameter |
m |
gradient field smoothing parameter |
0 – Success
1 – Failure
Shrinidhi KL, Avants BB
1 2 3 4 | ## Not run:
KellyKapowski( d=3, s=simg, g=gimg,w=wimg,c=45,r=0.5,m=1,o=oimg )
## End(Not run)
|
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