摘要
背景:目前,心内膜三维标测系统的研制是国内外医学工程学界的一个热点。国外已经推出了适用于临床的系统,但是其价格极其昂贵;国内还只是处于研究阶段,因此,在心内膜三维标测系统的国产化方面任重道远。目的:采集分析消融导管三维定位导航系统的建模数据,并重构心内膜三维几何模型。方法:心内膜三维建模数据的采集直接关系到建模质量的高低。以离散点的形式将数据采集过程进行可视化,可获得全面和有效的建模数据点集;通过对所得的点云数据进行凸包运算,获取数据集的表面极值点,构造用边界表示的多面体模型;最后以生成的多面体为基本体素,采用离散法造型完成建模过程。并使用可视化类库VTK,成功的重构了心内膜三维模型。结果与结论:仿真实验表明,实验提出的方法可以较全面、高效地采集建模数据,重构心内膜三维模型。提示重构的心内膜三维几何模型可以为消融导管三维定位导航系统提供技术支持。
BACKGROUND:Now,the development of endocardium three-dimensional (3D) mapping system is a hot spot in medical engineering in domestic and foreign countries.The system applied to clinic has been introduced,but its price is extremely expensive.In domestic,the system is still in the phase of research.Therefore,the domestication of endocardium 3D mapping system has heavy responsibilities.OBJECTIVE:To analyze the modeling data acquisition in 3D location and navigation system of ablation catheter,and to reconstruct endocardium 3D geometry model.METHODS:The acquisition of endocardium 3D modeling data is directly related to the quality of reconstructed model.We visualized data acquisition process in the form of discrete points,which could achieve the comprehensive and efficient modeling point data.Through doing convex hull operation on acquired point cloud data,we got the surface extreme points of data set and constructed the polyhedron model by using of boundary representation.Finally,the generated polyhedron was served as basic voxel to complete the modeling process by discrete modeling.endocardium 3D geometry model was successfully reconstructed by using of visualization class library VTK.RESULTS AND CONCLUSION:Simulation experiments showed that the methods we proposed could get the comprehensive and efficient modeling point data,and reconstruct endocardium 3D geometry model.It is indicated that reconstructed endocardium three-dimensional geometry model can provide technical support for 3D location and navigation system of ablation catheter.
出处
《中国组织工程研究与临床康复》
CAS
CSCD
北大核心
2011年第4期643-647,共5页
Journal of Clinical Rehabilitative Tissue Engineering Research