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. 2025 Jun 30;12(7):722. doi: 10.3390/bioengineering12070722
S Raw scans
I Preprocessed images set
N Number of images
Ij Random image from the set I
I Aligned I
Iwc Weighted center image
Ic Unweighted center image
T Template
t Iteration counter
Tt Template at iteration t
Δ Difference between Tt and Tt1
TP Template from patch-based estimation
TV Template from voxel-based averaging
F Features
PC Principal components
Σ Covariance matrix
Σ1 Inverse of Σ
W Image similarity weights
NW Normalized image similarity weights
dji Displacement from Ij to each IiI:ij
dwj Weighted displacement for Ij to reach Iwc
dic Displacement from IiI to center image
PT Set of template patches
PI Set of I patches
D Euclidean distances
h Gaussian bandwidths
w I nonzero voxel weights
nw I nonzero voxel normalized weights
V Set of nonzero voxel indices
K Number of nonzero voxel indices
v Voxel index
* Element-wise multiplication
WD Weighted Displacement
AGM Average Gradient Magnitude
NMC Normalized Michelson Contrast
DKL Kullback-Leibler Divergence
WMmax  Maximum intensity in WM
GMmin Minimum intensity in GM
.2 The L2-norm
· The absolute value
x Intensity or voxel value
M Number of template voxels
P(x) Probability of x in template distribution
Q(x) Probability of x in I distribution
Jv Jacobian matrix at v
det(Jv) Determinant of Jv
Gradient operator
X Total computational time
C Processing cores