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: | Schools > Psychology Schools > 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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