重庆理工大学学报（自然科学版）2016，Vol.30Issue(12)：102-107,6.DOI:10.3969/j.issn.1674-8425(z).2016.12.016
基于断层扫描数据的心脏三维重建
Three-Dimensional Reconstruction on CT Heart Images
摘要
Abstract
Three-dimensional (3D)reconstruction on medical CT heart images is a demanding but tough area in medical image analysis.The reconstructed 3 D model can be very useful to support medical research or clinical decision marking.However,due to the inherent noise existing in CT images,it is hard to obtain satisfactory reconstruction results by using segmentation methods alone.In this paper,we propose to combine the preprocessing and segmentation methods.Specifically,the classical total variation model is first employed to remove noise from images.These noise free images are then segmented via the efficient OTSU thresholding method.Based on the visualization toolkit (VTK),the marching cube and ray casting algorithms are applied to the processed images so as to generate the 3 D virtual model. Numerical experimental results validate the effectiveness and performance of the methods on the real medical CT heart images.关键词
医学图像/总变差/OTSU/三维重建/三维可视化Key words
medical images/total variation/OTSU thresholding/3 D reconstruction/3 D visualization分类
信息技术与安全科学引用本文复制引用
张锡英,孟繁平,邱兆文..基于断层扫描数据的心脏三维重建[J].重庆理工大学学报（自然科学版）,2016,30(12):102-107,6.基金项目
黑龙江省留学归国基金资助项目“个性化web图像检索技术研究” （）
