3D tooth segmentation in cone-beam computed tomography images using distance transform

Abstract

Background and ObjectivesSegmentation of individual teeth from Cone-Beam Computed Tomography (CBCT) images is a significant step in computer-aided systems for orthodontic planning. Teeth segmentation is still problematic because the teeth have similar intensity with the bone tissue and the variation of jawbone intensity. This study focused on improving teeth segmentation in CBCT images. MethodsIn this paper, we propose a new approach for tooth segmentation in CBCT images and Three-Dimensional (3D) visualization from the segmented teeth. First, artifacts reduction is obtained by histogram adjusting and morphology filtering of teeth bone on axial slices. Second, by using Distance Transform (DT), the tooth tissue is segmented. Finally, we represent a 3D teeth view using segmented pieces based on the triangular patches method of scattered points belonging to tooth lines. ResultsFor all the used images, teeth boundaries are segmented with accuracy and efficiency. The results of our method are similar to the outcomes of segmentation acquired by the specialist. ConclusionExperimental results and simulations show that the proposed method is helpful for precise and effective teeth segmentation in CBCT images.