A continuous flow-maximisation approach to connectivity-driven cortical parcellation
Parisot S, Rajchl M, Passerat-Palmbach J, Rueckert D (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9351
Pages Range: 165-172
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319245737
DOI: 10.1007/978-3-319-24574-4_20
Abstract
Brain connectivity network analysis is a key step towards understanding the processes behind the brain’s development through ageing and disease. Parcellation of the cortical surface into distinct regions is an essential step in order to construct such networks. Anatomical and random parcellations are typically used for this task, but can introduce a bias and may not be aligned with the brain’s underlying organisation. To tackle this challenge, connectivity-driven parcellation methods have received increasing attention. In this paper, we propose a flexible continuous flow maximisation approach for connectivity driven parcellation that iteratively updates the parcels’ boundaries and centres based on connectivity information and smoothness constraints. We evaluate the method on 25 subjects with diffusion MRI data. Quantitative results show that the method is robust with respect to initialisation (average overlap 82%) and significantly outperforms the state of the art in terms of information loss and homogeneity.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Parisot, S., Rajchl, M., Passerat-Palmbach, J., & Rueckert, D. (2015). A continuous flow-maximisation approach to connectivity-driven cortical parcellation. In Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, William M. Wells (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 165-172). Munich, DEU: Springer Verlag.
MLA:
Parisot, Sarah, et al. "A continuous flow-maximisation approach to connectivity-driven cortical parcellation." Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, Munich, DEU Ed. Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, William M. Wells, Springer Verlag, 2015. 165-172.
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