Chamberland, M., Gray, L., Descoteaux, M. & Jones, D. (2017). Interactive computation and visualization of structural connectomes in real-time. First International Workshop, CNI 2017,G. Wu, P. Laurienti, L. Bonilha. 1-7. United States of America: Springer. Retrieved from https://doi.org/10.1007/978-3-319-67159-8
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.
Mary MacKillop Institute for Health Research
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