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

Table 3.

Parameters used for the ANIMAL algorithm for mouse brain group‐wise nonlinear transformation estimation

Generation Step size (mm) Iterations Gaussian blur (mm)
1 0.7 20 0.3
2 0.6 8 0.2
3 0.5 8 0.2
4 0.24 8 0.2
5 0.12 8 0.1
6 0.06 8 0.06

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. In all cases both intensity and gradient features extracted from the blur were used.