Generating High-Quality Triangle Meshes from Medical Images
Zhong Chen, Zhiwei Hou, Yuegang Xing, Xiaobing Chen · International Journal of Signal Processing Image Processing and Pattern Recognition · 2017
Due to limited resolution factor, triangle meshes extracted from medical CT images often contain staircase artifacts.In order to remove staircase artifacts during mesh generation and obtain a smooth model from medical images, a novel removing staircase artifacts method is presented.Firstly, we extract contours by using image segmentation and convert a stack of contours into point clouds.Estimating the normals of point clouds and discard outliers by a weighted covariance analysis, and then remove noise by bilateral filtering.Denoising points are fitted by the quadric error function, and then construct triangle meshes by adaptive spherical cover.The resulting triangle meshes are evaluated regarding surface smoothness, volume preservation, geometric accuracy.The experimental results show that the proposed approach can create a smooth, high-quality surface model from medical images.