Real-time non-uniform surface refinement model for lung adenocarcinoma surgery.

Abstract

Soft tissue models play a crucial role in virtual surgery. However, most existing methods use uniform meshes and overall refinement to construct inhomogeneous soft tissues for virtual lungs. This leads to a complex computation and poor model realism. Therefore, a real-time non-uniform surface refinement model (RNSM) for lung adenocarcinoma surgery is proposed in this paper. First, to better describe the inhomogeneous soft tissues, the tetrahedra are subdivided to different degrees depending on their densities, which reduce the model's complexity while ensuring accuracy. Second, to improve the model accuracy, the model surface is subdivided using the Loop subdivision method. Finally, an optimal algorithm based on deformation radius is designed to enhance the deformation in real-time, in which a linear attenuation method of physical quantities is used to simulate the deformation of the weak deformation regions directly, and the finite element method (FEM) is used for the strong deformation regions. The experimental results show that the model is more accurate and faster than the existing soft tissue models for lung adenocarcinoma surgery simulation.