Landmark Optimization Using Local Curvature for Point-Based Nonlinear Rodent Brain Image Registration
Figure 1
An example of the landmark generation and optimization. The left and right columns show the source and target curves, respectively. (a) The first two landmarks (1 and 2, circled X) and their homologues (1′ and 2′, circled X) are fixed at the two ends of the corresponding source and target curves. The 3th landmark (3) is placed in the middle of the longest segment of the source curve, and its homologue (3′) is placed on the target curve. (b) The landmarks (3 and 3′) are then relaxed from their initial locations and slid to match each other; and the 4th landmark (4) is placed in the middle of the longest segment of the source curve, and its homologue (4′) is placed on the target curve. (c) The 4th landmarks (4 and 4′) are then relaxed from their initial locations to match each other.
