We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Dental Segmentation in Cone-beam Computed Tomography Images Using Watershed and Morphology Operators.
- Authors
Kakehbaraei, Somayeh; Seyedarabi, Hadi; Zenouz, Ali Taghavi
- Abstract
Teeth segmentation is an important task in computer-aided procedures and clinical diagnosis. In this paper, we propose an accurate and robust algorithm based on watershed and morphology operators for teeth and pulp segmentation and a new approach for enamel segmentation in cone-beam computed tomography (CBCT) images. Proposed method consists of five steps: acquiring appropriate CBCT image, image enhancement, teeth segmentation using the marker-controlled watershed (MCW), enamel segmentation by global threshold, and finally, utilizing the MCW for pulp segmentation. Proposed algorithms evaluated on a dataset consisting 69 patient images. Experimental results show a high accuracy and specificity for teeth, enamel, and pulp segmentation. MCW algorithm and local threshold are accurate and robust approaches to segment tooth, enamel, and pulp tissues. Methods overcome the over-segmentation phenomenon and artifacts reduction.
- Subjects
TEETH; CONE beam computed tomography; SEGMENTATION (Biology); PHYSIOLOGY
- Publication
Journal of Medical Signals & Sensors, 2018, Vol 8, Issue 2, p119
- ISSN
2228-7477
- Publication type
Article