Interactive computation and visualization of structural connectomes in real-time
Conference item
Chamberland, Maxime, Gray, Liam, Descoteaux, Maxime and Jones, Derek. (2017). Interactive computation and visualization of structural connectomes in real-time. In G. Wu, P. Laurienti and L. Bonilha (Ed.). First International Workshop, CNI 2017. United States of America: Springer. pp. 1 - 7 https://doi.org/10.1007/978-3-319-67159-8
Authors | Chamberland, Maxime, Gray, Liam, Descoteaux, Maxime and Jones, Derek |
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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. |
Year | 2017 |
Journal | First International Workshop, CNI 2017 |
Publisher | Springer |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-67159-8 |
Scopus EID | 2-s2.0-85029457164 |
Publisher's version | File Access Level Controlled |
Page range | 1 - 7 |
ISBN | 9783319671581 |
Research Group | Mary MacKillop Institute for Health Research |
Place of publication | United States of America |
Editors | G. Wu, P. Laurienti and L. Bonilha |
https://acuresearchbank.acu.edu.au/item/85q7q/interactive-computation-and-visualization-of-structural-connectomes-in-real-time
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