Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes.
Description: This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.
Funder: Australian Research Council
Amount: A$534,000
Funding type: research
Funder scheme: Discovery Projects
Start date: 2022-01-01
End date: 2026-12-31
Investigator: Hamid Laga
Institution: Murdoch University
Funded outputs count: 9
Funder award ID: DP220102197
OpenAlex ID: G7481564637