Fast 3D Skeleton Extraction of Airways and Applications to Virtual Bronchoscopy
In this paper,a novel automatic approach of computing 3D skeletons of airways is introduced,which is based on optimized double distance transform field and endpoints detection.The advanced double distance transform fields are constructed by the fast marching method(FMM).The endpoints are detected automatically combining 3D SUSAN corner detector and the local extreme value of distance from source(DFS).Furthermore,the minimum cost path scheme is used for searching a connected,one voxel thickness flight path of airways in virtual bronchoscopy.Experimental results show that the proposed method is centered,less sensitive to object noisiness,more accurate and more efficient.We have validated the robustness of the proposed method both quantitatively and qualitatively against clinical datasets.
Skeleton Airways Virtual Bronchoscopy FMM USAN
Huan Geng Jinzhu Yang Wenjun Tan Yuliang Yuan Fangfang Han Dazhe Zhao
School of Information Science &Engineering,Northeastern University,Shenyang 110819;Key Laboratory of Key Laboratory of Medical Image Computing,Ministry of Education,Northeastern University,Shenyang 110
国际会议
长沙
英文
3879-3884
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）