Abstract
In the context of inter-subject brain surface matching, we present a parameterization of the cortical surface constrained by a model of cortical organization. The parameterization is defined via an harmonic mapping of each hemisphere surface to a rectangular planar domain that integrates a representation of the model. As opposed to previous conformal mapping methods we do not match folds between individuals but instead optimize the fit between cortical sulci and specific iso-coordinate axis in the model. Experiments on both hemispheres of 34 subjects are presented and results are very promising. © 2011 Springer-Verlag.
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Auzias, G., Lefèvre, J., Le Troter, A., Fischer, C., Perrot, M., Régis, J., & Coulon, O. (2011). Model-driven harmonic parameterization of the cortical surface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6892 LNCS, pp. 310–317). https://doi.org/10.1007/978-3-642-23629-7_38
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