Maxillofacial Prosthetic Service, Prosthodontic Unit, School of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kubang Kerian, Kelantan, Kota Bharu 16150, Malaysia.
Craniofacial Imaging and Additive Manufacturing Laboratory, School of Dental Sciences, Universiti Sains Malaysia, Kubang Kerian, Kubang Kerian, Kelantan, Kota Bharu 16150, Malaysia.
J Prosthodont. 2021 Jun;30(5):420-429. doi: 10.1111/jopr.13286. Epub 2020 Dec 2.
Mesh optimization reduces the texture quality of 3D models in order to reduce storage file size and computational load on a personal computer. This study aims to explore mesh optimization using open source (free) software in the context of prosthodontic application.
An auricular prosthesis, a complete denture, and anterior and posterior crowns were constructed using conventional methods and laser scanned to create computerized 3D meshes. The meshes were optimized independently by four computer-aided design software (Meshmixer, Meshlab, Blender, and SculptGL) to 100%, 90%, 75%, 50%, and 25% levels of original file size. Upon optimization, the following parameters were virtually evaluated and compared; mesh vertices, file size, mesh surface area (SA), mesh volume (V), interpoint discrepancies (geometric similarity based on virtual point overlapping), and spatial similarity (volumetric similarity based on shape overlapping). The influence of software and optimization on surface area and volume of each prosthesis was evaluated independently using multiple linear regression.
There were clear observable differences in vertices, file size, surface area, and volume. The choice of software significantly influenced the overall virtual parameters of auricular prosthesis [SA: F(4,15) = 12.93, R = 0.67, p < 0.001. V: F(4,15) = 9.33, R = 0.64, p < 0.001] and complete denture [SA: F(4,15) = 10.81, R = 0.67, p < 0.001. V: F(4,15) = 3.50, R = 0.34, p = 0.030] across optimization levels. Interpoint discrepancies were however limited to <0.1mm and volumetric similarity was >97%.
Open-source mesh optimization of smaller dental prostheses in this study produced minimal loss of geometric and volumetric details. SculptGL models were most influenced by the amount of optimization performed.
网格优化会降低 3D 模型的纹理质量,从而减少存储文件的大小和个人计算机的计算负载。本研究旨在探索在修复应用背景下使用开源(免费)软件进行网格优化。
使用传统方法和激光扫描构建耳假体、全口义齿以及前牙和后牙冠,以创建计算机化的 3D 网格。使用四个计算机辅助设计软件(Meshmixer、Meshlab、Blender 和 SculptGL)将网格分别独立优化至原始文件大小的 100%、90%、75%、50%和 25%。优化后,对以下参数进行虚拟评估和比较:网格顶点、文件大小、网格表面积(SA)、网格体积(V)、点间差异(基于虚拟点重叠的几何相似性)和空间相似性(基于形状重叠的体积相似性)。使用多元线性回归分别评估软件和优化对每个修复体表面积和体积的影响。
在顶点、文件大小、表面积和体积方面都有明显的差异。软件的选择显著影响耳假体[SA:F(4,15)=12.93,R=0.67,p<0.001.V:F(4,15)=9.33,R=0.64,p<0.001]和全口义齿[SA:F(4,15)=10.81,R=0.67,p<0.001.V:F(4,15)=3.50,R=0.34,p=0.030]的整体虚拟参数。然而,点间差异限制在<0.1mm 以内,体积相似性>97%。
本研究中小牙科修复体的开源网格优化导致几何和体积细节的损失最小。SculptGL 模型受优化量的影响最大。