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基于柔度的软组织变形自适应网格细化算法。

Softness-based adaptive mesh refinement algorithm for soft tissue deformation.

机构信息

College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.

出版信息

Biosystems. 2020 May;191-192:104103. doi: 10.1016/j.biosystems.2020.104103. Epub 2020 Feb 7.

Abstract

Soft tissue and organ modeling is the most critical function of any virtual surgical system. This study proposes a softness-based adaptive mesh refinement algorithm to simultaneously ensure realistic and real-time soft tissue simulation. The algorithm was constructed to consider that in a virtual surgery scenario, the surgical sites involve large deformation and thus require high simulation precision, whereas the nonsurgical sites involve small deformations and thus require low simulation precision. This study used the stomach lining as an example, applying mesh refinement in the deformation sites of the stomach lining to enhance the accuracy of the simulations. In addition, low mesh models were adopted for nonsurgical sites to ensure computing efficiency.

摘要

软组织和器官建模是任何虚拟手术系统的最关键功能。本研究提出了一种基于柔软度的自适应网格细化算法,以同时确保真实和实时的软组织模拟。该算法的构建考虑到在虚拟手术场景中,手术部位涉及大变形,因此需要高的模拟精度,而非手术部位涉及小变形,因此需要低的模拟精度。本研究以胃衬里为例,在胃衬里的变形部位进行网格细化,以提高模拟的准确性。此外,对于非手术部位采用低网格模型,以保证计算效率。

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