Presentation on theme: "Tooth Segmentation on Dental Meshes Using Morphologic Skeleton"— Presentation transcript:
1Tooth Segmentation on Dental Meshes Using Morphologic Skeleton Computers & GraphicsCAD/Graphics 2013, Hong KongTooth Segmentation on Dental MeshesUsing Morphologic SkeletonKan WUM.Eng.Li CHENPh.D.School of SoftwareTsinghua University, P. R. of ChinaJing LIPh.D.Yanheng ZHOUPh.D.Department of OrthodonticsPeking University School and Hospital of Stomatology, P. R. of China
3Contribution an applicable pipeline for dental mesh segmentation avoid complex mesh feature estimationsignificantly reduced user interactionexperiments on various clinical cases of different toothshapes and various levels of crowding problems
4Problems of Current Work not sufficiently accurateKumar et al.2011affected by feature disturbanceKronfeld et al.2010intensive interaction“3Shape”
5A Good Dental Segmentation Approach Should locate teeth area automaticallyseparate adjacent teeth automaticallymorphologicskeletonless dependent oncomplex feature estimationsmoothed & fitted boundary
6ACCURACY EFFICIENCY REDUCED INTERACTION Why Morphologic Skeleton insensitive to feature missing & disturbanceACCURACYsimplified approximation of mesh featuresEFFICIENCYeasy separation of adjacent objectsREDUCED INTERACTION
27Comparative Results – Published Approaches Kronfeld et al. 2010our approachKumar et al. 2011our approach
28when user interaction is not sufficiently accurate enough Comparative Results – “3Shape” Software“3Shape” Softwareour approach“3Shape” Softwareour approachwhen user interaction is not sufficiently accurate enough
29Accuracy Evaluation – Mean Errors The mean errors that compare our results to manually labeled ground truth. The unit is mm.
30Accuracy Evaluation – Error Distribution the distribution of particular error values across all segmented boundary vertices. The blue, yellow, red lines indicate the ranges of [0, 0.25], [0.25, 0.5], [0.5, 1.5], respectively.
31User Interaction Evaluation Time consumed by user interactions. The blue and yellow lines indicate manual boundary completion and additional seed adding, respectively. The unit is s
32Limitationsuser interaction still neededno GPU acceleratingFuture Worka dental mesh benchmarkGPU acceleratingcompletely eliminate user interaction