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 [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.
Acknowledgements
This work has been partly supported by the Brittany Country Council under a contribution to the student grant. Grant support for the acquisition of the data was provided by the GIS Project “cognition science”.
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Hellier, P., Barillot, C. (2001). Cooperation between Local and Global Approaches to Register Brain Images. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_32
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DOI: https://doi.org/10.1007/3-540-45729-1_32
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