Efficient cutting and soft tissue simulation for virtual surgery
虚拟手术的高效切割和软组织模拟
基本信息
- 批准号:570702-2021
- 负责人:
- 金额:$ 8.3万
- 依托单位:
- 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
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
该提案是Symgery与来自高等技术学院和麦吉尔大学的实时物理模拟专家之间的合作。拟议的研究将开发和实施新的数学模型,技术和算法,以解决软组织模拟和虚拟手术切割的关键技术挑战。 具体来说,我们将专注于开发(i)弹性模拟的混合模型,这将提高解剖结构的有效实时切割,(ii)工具交互的精确接触处理,以提高触觉渲染的真实性,以及(iii)异构弹性模拟的高效求解器。 总之,这些技术进步将通过改善解剖结构的建模和手术工具交互期间的接触来扩展Symgery的模拟能力。此外,该项目将培训一组四名HQP学员,拟议的工作被结构化为三组活动,有几个互连点。我们预计,这一合作的成果将产生重要的研究成果,将大大有助于加拿大经济。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部门。这些成果还将产生新的商业机会,并有助于创造新的就业机会,这将使我们的合作伙伴Symgery Inc.受益匪浅,和加拿大社会。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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{{ truncateString('Andrews, SheldonP', 18)}}的其他基金
Data-driven Friction Models for Simulation and Material Fabrication
用于模拟和材料制造的数据驱动摩擦模型
- 批准号:
571411-2021 - 财政年份:2022
- 资助金额:
$ 8.3万 - 项目类别:
Alliance Grants
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Efficient cutting and soft tissue simulation for virtual surgery
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- 批准号:
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