Landmark Optimization Using Local Curvature for Point-Based Nonlinear Rodent Brain Image Registration
Figure 2
The registration of MRI and histological slices using optimized landmarks on curves (a) and (b), manually selected discrete landmarks (c) and (d). The colors of homologous landmarks are matched in (c) and (d). The MRI slice transformed using the thin-plate splines with optimized landmarks in (a) and (b) is shown in (e), and overlaid on the histological section (f). The average NMI and TRE of transformed MRI and histological slices in five image pairs (I–V) were shown in (g) and (h), respectively. The NMI and TRE were calculated on the MRI slices transformed using manually selected “discrete landmarks (LMs)” (black columns), landmarks generated on curves but not optimized (“Nonoptimized LMs on curves”) (white columns), curve landmarks optimized using (1) (“Optimized LMs on curves”) (gray columns), and curve landmarks manually refined (“Manually adjusted LMs”) (stripped columns) *: P < 0.1; **: P < 0.05.
