Interactive computation and visualization of structural connectomes in real-time
Chamberland, Maxime, Gray, Liam, Descoteaux, Maxime and Jones, Derek Kenton. (2017) Interactive computation and visualization of structural connectomes in real-time. Lecture Notes in Computer Science. 10511, pp. 1 - 7.
|Authors||Chamberland, Maxime, Gray, Liam, Descoteaux, Maxime and Jones, Derek Kenton|
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.
|Keywords||clustering algorithms; computation theory; graph theory; medical imaging; neuroimaging; visualization|
|Journal||Lecture Notes in Computer Science|
|Journal citation||10511, pp. 1 - 7|
|Open access||Open access|
|Page range||1 - 7|
|Research Group||Mary MacKillop Institute for Health Research|
|Author's accepted manuscript|
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