Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces

Detecting the tooth-gingiva trim line from a dental surface plays a critical role in dental treatment planning and aligner 3D printing. Existing methods treat this task as a segmentation problem, which is resolved with geometric deep learning based mesh segmentation techniques. However, these method...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on medical imaging Jg. 42; H. 11; S. 1
Hauptverfasser:	Chen, Geng, Qin, Jie, Amor, Boulbaba Ben, Zhou, Weiming, Dai, Hang, Zhou, Tao, Huang, Heyuan, Shao, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Deep learning Dental Surface Finite element method Geometric Deep Learning Gingiva High resolution Image Processing, Computer-Assisted LDDMM Modules Printing, Three-Dimensional Segmentation Teeth Template Fitting Three dimensional printing Tooth-Gingiva Trim Line
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!