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. 2012 May 19;34(10):2635–2654. doi: 10.1002/hbm.22092

Table 1.

Parameters used for the ANIMAL algorithm for mouse brain nonlinear transformation estimation

Step size (mm) Iterations Gaussian blur (mm) Feature type
1 60 0.25 Intensity
0.5 60 0.25 Intensity
0.5 60 0.25 Gradient
0.2 10 0.25 Intensity
0.2 10 0.25 Gradient
0.1 4 None Intensity

All values for lattice diameter were set to 1.5 x Step_size. Regularization parameters of stiffness, weight, and similarity were set to 0.98, 0.8, and 0.8, respectively.