Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes.

Shape4D：对 3D 形状中的时空变形模式进行建模。

• 批准号: DP220102197
• 负责人: Prof Hamid Laga
• 金额: $ 35.61万
• 依托单位: Murdoch University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-12-30 至 2025-12-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220102197
• 关键词: Shape4D; Modelling; Spatiotemporal; Deformation; Patterns

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.

这项研究将开发新的数学方法和算法，使人口水平的纵向研究，以模拟三维生物对象的空间和时间变形模式。使用新的几何和深度学习技术，它将创建新的方法，允许表征物体的3D形状如何随着衰老，疾病进展及其与环境的相互作用而变形，以及模拟解剖器官中的时空变形。好处包括更好地了解生长过程，退行性疾病进展的预测模型以及有助于设计适当缓解和干预策略的计算框架。