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Interactive computation and visualization of structural connectomes in real-time
Chamberland, Maxime Gray, Liam Descoteaux, Maxime Jones, Derek
Chamberland, Maxime
Gray, Liam
Descoteaux, Maxime
Jones, Derek
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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Date
2017
Type
Conference item
Journal
First International Workshop, CNI 2017
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Page Range
1-7
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ACU Department
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Open Access Status
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Controlled