一种新的体数据场三维表面重建方法

A method for three-dimensional surface reconstruction of volume data field

:目的研究一种基于表面矢量场平滑的三维重建方法,对DICOM格式的体数据的三维结构进行表面重建。方法采用人体颅脑、骨盆及鼠胚胎切片3组体数据,分别采用MC算法提取三维结构的外表面,用小三角形面片逼近三维结构的真实外表面,对外表面的法向矢量场作平滑处理,重建并显示出体数据场的三维结构。结果在微机上得到了3组体数据的三维重建结果,其结果均具有满意的三维细节和真实感。结论三维表面矢量场平滑的方法能够提高三维重建质量。对DICOM体数据采用此重建方法,可以在微机上实现优质的三维重建。

Objective To explore a novel method of three-dimensional (3D) reconstruction based on vector field smoothing, for the purpose of 3D surface reconstruction of DICOM format volume data sets. Methods3D external surface of three sets of volume data, namely craniocerebral volume data, pelvis volume data, and rat embryo volume data, were respectively extracted by Marching Cubes algorithm using small triangle flakes to approach the original 3D structure surfaces. Vector field smoothing was performed on the extracted 3D surfaces. The reconstructed 3D structures were rendered from different angles of view through arbitrary rotation. Results High-quality results of 3D surface reconstruction were obtained for each set of volume data, demonstrating fine 3D surface details and high fidelity. Conclusion This method can improve 3D surface reconstruction from DICOM volume data sets, promising high quality, fidelity and reality.