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A real-time stable volumetric Mass-Spring Model based on a multi-scale mesh representation

机译:基于多尺度网格表示的实时稳定体积质量弹簧模型

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Representation of soft tissues in virtual reality environments has been focused by researchers with applications including training medical students and surgeons, treatment planning, monitoring and telesurgery. A major challenge of current modeling schemes such as Boundary Element, Finite Element, and Mass-Spring Models is to deal with volume preserving. Another challenge is the complexity of a model which results in a more realistic visualization; however, it increases computational cost. In this paper, we propose a Mass-Spring model to represent liver volume. It contains a series of multi-scale surface meshes with interconnections between the models and therefore it is considered as a volumetric mesh model. To preserve the volume of the gland, an external force is transmitted from the surface to internal meshes. By designing a specific data structure to hold coordinates of mesh points, we are able to render mesh movement in nearly real-time using conventional CPU architectures. Localization of the external force is adjusted by the penetration depth parameter. Qualitative evaluation of the results revealed the promising performance of the proposed model. The stability of our Mass-Spring model under large deformation is another novelty of our method too.
机译:研究人员将重点放在虚拟现实环境中软组织的表示上,这些应用包括培训医学生和外科医生,治疗计划,监测和远程手术。当前建模方案(例如边界元,有限元和质量-弹簧模型)的主要挑战是处理体积保留。另一个挑战是模型的复杂性,从而导致更逼真的可视化。但是,这增加了计算成本。在本文中,我们提出了质量弹簧模型来代表肝脏体积。它包含一系列在模型之间具有互连关系的多尺度表面网格,因此被视为体积网格模型。为了保留腺体的体积,外力从表面传递到内部网格。通过设计特定的数据结构来保存网格点的坐标,我们能够使用常规CPU架构几乎实时地渲染网格运动。外力的定位由穿透深度参数调整。对结果的定性评估显示了所提出模型的有希望的性能。我们的质量弹簧模型在大变形下的稳定性也是我们方法的另一个新颖之处。

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