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.
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Notes
- 1.
Open source software available at: chamberm.github.io/fibernavigator_single.html.
- 2.
Demo available online at: www.youtube.com/watch?v=eZ2JubD25NA.
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Chamberland, M., Gray, W., Descoteaux, M., Jones, D.K. (2017). Interactive Computation and Visualization of Structural Connectomes in Real-Time. In: Wu, G., Laurienti, P., Bonilha, L., Munsell, B. (eds) Connectomics in NeuroImaging. CNI 2017. Lecture Notes in Computer Science(), vol 10511. Springer, Cham. https://doi.org/10.1007/978-3-319-67159-8_5
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DOI: https://doi.org/10.1007/978-3-319-67159-8_5
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