Landmark optimization using local curvature for point-based nonlinear rodent brain image registration.

Int J Biomed Imaging · 2012 · PMC3180176 · PMID 21966289

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showed a trendP < 0.10so close (0.05 < p ≤ 0.1)

As demonstrated in Figure 2(g) (NMI results) and Figure 2(h) (TRE results), generating landmarks on anatomical curves (no matter the landmarks were optimized or not) either significantly improved registration accuracy ( P < 0.05, paired t -test) or showed a trend towards improvement (0.05 ≤ P < 0.10) in all image pairs compared to manually selecting discreet landmarks.

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