Evaluating the accuracy of cortical registration using landmark-based and automatic methods

D Pantazis, A Joshi, J Jintao, D Shattuck, LE Bernstein, H Damasio, RM Leahy
2009 NeuroImage  
Surface-based registration methods differ mainly in the features or similarity metrics that are used when aligning cortical surfaces. One general approach uses manually or automatically defined landmark contours to constrain the registration. The second approach allows automatic registration by optimizing the alignment of shape metrics, such as sulcal depth and cortical convexity, computed over the entire cortical surface. In this work we evaluate the performance of our landmark-based method
more » ... shi et l., 2007) against two automatic surface registration methods, implemented in two popular software ackages, FreeSurfer (Fischl et al., 1999) and BrainVoyager (Goebel et al., 2006).
doi:10.1016/s1053-8119(09)71159-0 fatcat:gyhkd76opfeudnichg4efzbovu