GraMPa: Graph-based multi-modal parcellation of the cortex using fusion moves
Parisot S, Glocker B, Schirmer MD, Rueckert D (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9900 LNCS
Pages Range: 148-156
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Athens, GRC
ISBN: 9783319467191
DOI: 10.1007/978-3-319-46720-7_18
Abstract
Parcellating the brain into a set of distinct subregions is an essential step for building and studying brain connectivity networks. Connectivity driven parcellation is a natural approach,but suffers from the lack of reliability of connectivity data. Combining modalities in the parcellation task has the potential to yield more robust parcellations,yet hasn’t been explored much. In this paper,we propose a graphbased multi-modal parcellation method that iteratively computes a set of modality specific parcellations and merges them using the concept of fusion moves. The merged parcellation initialises the next iteration,forcing all modalities to converge towards a set of mutually informed parcellations. Experiments on 50 subjects of the Human Connectome Project database show that the multi-modal setting yields parcels that are more reproducible and more representative of the underlying connectivity.
Involved external institutions
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Veterans Affairs Healthcare System Boston and Harvard Medical School
United States (USA) (US)
United Kingdom (GB)
Veterans Affairs Healthcare System Boston and Harvard Medical School
United States (USA) (US)
How to cite
APA:
Parisot, S., Glocker, B., Schirmer, M.D., & Rueckert, D. (2016). GraMPa: Graph-based multi-modal parcellation of the cortex using fusion moves. In Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 148-156). Athens, GRC: Springer Verlag.
MLA:
Parisot, Sarah, et al. "GraMPa: Graph-based multi-modal parcellation of the cortex using fusion moves." Proceedings of the 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, GRC Ed. Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Springer Verlag, 2016. 148-156.
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