Tooth/Teeth Segmentation and modeling from X-ray/CT images: A Survey

نویسندگان

  • Niharika Thakur
  • Mamta Juneja
  • Prashant Jindal
چکیده

Segmentation of tooth/teeth from dental computed tomography (CT) or X-ray images and thereby its 3D visualization is of great significance for computed assistance strategies such as anomalies detection, planning for orthodontics, dental implants, face and jaw surgeries and much more. This application is often used in forensic science for human identification using matching of post-mortem (PM) and antemortem (AM) dental scans, lesions detection and few others. Some of these applications require isolation of tooth and thereby its critical examination using 3D visualization. The aim of this paper is to discuss various approaches proposed so far by different researchers for segmentation and modeling of the tooth from CT images. It also discusses various challenges in the field of orthodontics and different ways to overcome them.

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تاریخ انتشار 2017