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Coupling Dense and Landmark-Based Approaches for Non Rigid Registration

Pierre Hellier 1 Christian Barillot 1
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : 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 [24]. An energy based registration method [21] 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 registration's quality.
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Submitted on : Wednesday, May 24, 2006 - 10:16:49 AM
Last modification on : Friday, February 4, 2022 - 3:23:24 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:13:14 PM


  • HAL Id : inria-00072557, version 1


Pierre Hellier, Christian Barillot. Coupling Dense and Landmark-Based Approaches for Non Rigid Registration. [Research Report] RR-4076, INRIA. 2000. ⟨inria-00072557⟩



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