Toward accurate tooth segmentation from computed tomography images using a hybrid level set model

• Published in: Medical physics (Lancaster) Vol. 42; no. 1; pp. 14 - 27
• Main Authors: Gan, Yangzhou, Xia, Zeyang, Xiong, Jing, Zhao, Qunfei, Hu, Ying, Zhang, Jianwei
• Format: Journal Article
• Language: English
• Published: United States American Association of Physicists in Medicine 01.01.2015
• Subjects: 60 APPLIED LIFE SCIENCES; Biological material, e.g. blood, urine; Haemocytometers; Biomedical modeling; bone; CAT SCANNING; COMPARATIVE EVALUATIONS; Computed tomography; Computerised tomographs; computerised tomography; Cone beam computed tomography; dentistry; Dentistry; Apparatus or methods for oral or dental hygiene; Digital computing or data processing equipment or methods, specially adapted for specific applications; Edge detection; Humans; Image data processing or generation, in general; Image Processing, Computer-Assisted - methods; image segmentation; level set; mean square error methods; Medical image contrast; medical image processing; Medical image reconstruction; Medical image segmentation; Medical treatment planning; Normal Distribution; numerical analysis; Numerical approximation and analysis; orthodontics; Probability theory, stochastic processes, and statistics; Reproducibility of Results; Segmentation; statistical analysis; TEETH; Three dimensional image processing; THREE-DIMENSIONAL CALCULATIONS; Tomography, X-Ray Computed; tooth; Tooth - diagnostic imaging

Purpose: A three‐dimensional (3D) model of the teeth provides important information for orthodontic diagnosis and treatment planning. Tooth segmentation is an essential step in generating the 3D digital model from computed tomography (CT) images. The aim of this study is to develop an accurate and e...