Efficient cutting and soft tissue simulation for virtual surgery
Efficient cutting and soft tissue simulation for virtual surgery
批准号:
570702-2021
负责人:
Andrews, SheldonP
金额:
$8.3万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
这项提议是Symgery与来自巴黎高等理工学院和麦吉尔大学的实时物理模拟专家之间的合作。这项拟议的研究将开发和实施新的数学模型、技术和算法,以解决虚拟手术中软组织模拟和切割的关键技术挑战。具体地说,我们将重点开发(I)用于弹性模拟的混合模型,它将提高解剖结构的高效实时切割;(Ii)工具交互的精确接触处理,以提高触觉渲染的真实感;以及(Iii)用于异质弹性模拟的高效求解器。总而言之,这些技术进步将通过改进手术工具交互过程中解剖结构和接触的建模来扩大Symgery的模拟能力。此外,该项目将培训四名HQP实习生,拟议的工作将分成三组活动,这些活动有几个互联点。我们预计这次合作的结果将产生重要的研究成果,将对加拿大经济做出强有力的贡献。手术模拟和虚拟现实培训行业在魁北克有着深厚的根基,预期的结果将进一步加强这一不断增长的技术行业。这些成果还将创造新的商业机会,并有助于创造新的就业机会,这将对我们的合作伙伴Symgery Inc.和整个加拿大社会产生重大好处。
英文摘要
This proposal is a collaboration between Symgery and experts in real-time physics simulation from the the École de technologie supérieure and McGill University. The proposed research will develop and implement novel mathematical models, techniques, and algorithms that address key technical challenges in soft tissue simulation and cutting for virtual surgery. Specifically, we will focus on the development of (i) hybrid models for elastic simulation that will improve efficient real-time cutting of anatomical structures, (ii) precise contact handling of tool interactions to improve the realism of haptic rendering, and (iii) efficient solvers for heterogeneous elastic simulations. Taken together, these technological advancements will expand Symgery's simulation capacities by improving the modeling of anatomical structures and contact during surgical tool interactions. Furthermore, the project will train a group of four HQP trainees, with the proposed work being structured into three groups of activities that have several interconnection points.We expect that the outcomes of this collaboration will produce important research findings that will strongly contribute to the Canadian economy. The surgical simulation and virtual reality training industry has strong roots in Quebec, and the expected results will further strengthen this growing technology sector. The outcomes will additionally generate new business opportunities and contribute to the creation of new jobs, which will be of significant benefit to our partner, Symgery Inc., and Canadian society in general.
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专著(0)
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会议论文
Data-driven Friction Models for Simulation and Material Fabrication
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批准号:571411-2021
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项目类别:Alliance Grants
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资助金额:$3.28万
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财政年份:2022
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负责人:Andrews, SheldonP
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依托单位:
海外基金