Interactive computation and visualization of structural connectomes in real-time

Chamberland, Maxime ORCID: https://orcid.org/0000-0001-7064-0984, Gray, William ORCID: https://orcid.org/0000-0001-7595-8887, Descoteaux, Maxime and Jones, Derek ORCID: https://orcid.org/0000-0003-4409-8049 2017. Interactive computation and visualization of structural connectomes in real-time. Presented at: CNI 2017: International Workshop on Connectomics in Neuroimaging, Quebec City, QC, Canada, 14 September 2017. Published in: Wu, G., Laurienti, P., Bonilha, L. and Munsell, B.C. eds. Connectomics in NeuroImaging. Lecture Notes in Artificial Intelligence. Lecture Notes in Computer Science , vol.10511 Cham, Switzerland: Springer Verlag, pp. 35-41. 10.1007/978-3-319-67159-8_5

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Abstract

Structural networks contain high dimensional data that raise huge computational and visualization problems, especially when attempting to characterise them using graph theory. As a result, it can be non-intuitive to grasp the contribution of each edge within a graph, both at a local and global scale. Here, we introduce a new platform that enables tractography-based networks to be explored in a highly interactive real-time fashion. The framework allows one to interactively tune graph-related parameters on the fly, as opposed to conventional visualization softwares that rely on pre-computed connectivity matrices. From a neurosurgical perspective, the method also provides enhanced understanding regarding the potential removal of a specific node or transection of an edge from the network, allowing surgeons and clinicians to discern the value of each node.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Psychology Medicine
Publisher:	Springer Verlag
ISBN:	978-3-319-67159-8
ISSN:	0302-9743
Date of First Compliant Deposit:	5 October 2017
Last Modified:	14 Sep 2024 01:28
URI:	https://orca.cardiff.ac.uk/id/eprint/105132

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