Title :
Teeth segmentation using dental CT data
Author :
Zhanli Hu ; Wu, P.Z. ; Jianbao Gui ; Yao Chen ; Hairong Zheng
Author_Institution :
Paul Lauterbur Center for Biomed. Imaging Res., Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
Cone-beam dental computerized tomography has been introduced as a system geared towards maxillofacial imaging, which is gradually becoming a common tool within the dental industry. Segmentation of teeth from dental CT data is vital for a variety of computer-aided procedures such as dental implants, orthodontic planning and cosmetic surgeries. Teeth segmentations near soft tissue structures can help clinicians to assess the quality of a patient´s teeth more easily. Moreover, the ability to identify particular regions surrounding teeth can help to provide better image results generated using 3D surface/volume rendering techniques. This paper, presents an experimental study for teeth segmentation employing two different thresholding techniques. The performances of these techniques are compared with each other. The experimental results show that there is a noticeable difference in segmentation quality between the two methods presented in this paper.
Keywords :
biological tissues; computerised tomography; dentistry; image segmentation; medical image processing; 3D surface-volume rendering techniques; computer-aided procedures; cone-beam dental computerized tomography; cosmetic surgeries; dental CT data; dental implants; dental industry; maxillofacial imaging; orthodontic planning; patient teeth; segmentation quality; soft tissue structures; teeth segmentation; Computed tomography; Dentistry; Image segmentation; Level set; Remote sensing; Teeth; dental CT; thresholding; tooth segmentation;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
DOI :
10.1109/BMEI.2014.7002747