In this paper, we investigate the introduction of cortical constraints for non rigid inter-subject brain registration. We extract sulcal patterns with the active ribbon method, presented in [10]. An energy based registration method [7] makes it possible to incorporate the matching of cortical sulci, and express in a unified framework the local sparse similarity and the global “iconic” similarity. We show the objective benefits of cortical constraints on a database of 18 subjects, with global and local measures of the quality of the registration.
CITATION STYLE
Hellier, P., & Barillot, C. (2001). Cooperation between local and global approaches to register brain images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2082, pp. 315–328). Springer Verlag. https://doi.org/10.1007/3-540-45729-1_32
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