Name
Abstract | ||
|---|---|---|
Tooth contour segmentation from dental computerized tomography (CT) images is one of the fundamental steps in reconstructing the three-dimensional models of teeth. However, existing methods depend on the tooth shape similarity between adjacent slices, and have difficulty to segment these angled teeth whose contour shapes from adjacent slices may differ a lot. This study proposes a new method for contour segmentation of angled teeth from CT images. The volume of interest (VOI) of target tooth and corresponding tooth axis are first extracted from volumetric CT images. Local images within the VOI of target tooth are then rotated such that the tooth axis in the rotated images is perpendicular to the transverse section. Tooth contours are finally segmented from the rotated images using a hybrid level set model slice-by-slice. Experimental results verified that the proposed method was effective to segment contours of angled teeth from CT images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8037589 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Volumetric CT,Computer vision,Volume of interest,Perpendicular,Transverse plane,Segmentation,Computer science,Cone beam computed tomography,Level set,Tomography,Artificial intelligence | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yangzhou Gan | 1 | 33 | 7.04 |
| Zeyang Xia | 2 | 28 | 12.04 |
| Jing Xiong | 3 | 18 | 7.00 |
| Xinwen Zhou | 4 | 8 | 2.52 |
| Guanglin Li | 5 | 314 | 57.23 |
| Zhao Qunfei | 6 | 21 | 5.94 |