Angled tooth segmentation from computerized tomography images

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.

[1]  Hong-Tzong Yau,et al.  Tooth model reconstruction based upon data fusion for orthodontic treatment simulation , 2014, Comput. Biol. Medicine.

[2]  Han Bing,et al.  An automatic method of synthesizing panoramic radiograph by unwrapping dental CT image , 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).

[3]  Hui Gao,et al.  Improved B-spline contour fitting using genetic algorithm for the segmentation of dental computerized tomography image sequences , 2007 .

[4]  Paul Suetens,et al.  Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation , 2012, MLMI.

[5]  Hui Gao,et al.  Individual tooth segmentation from CT images using level set method with shape and intensity prior , 2010, Pattern Recognit..

[6]  R. Zoroofi,et al.  Rapid Automatic Segmentation and Visualization of Teeth in CT-Scan Data , 2009 .

[7]  Saowapak S. Thongvigitmanee,et al.  Automatic dental arch detection and panoramic image synthesis from CT images , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[8]  Sim Heng Ong,et al.  A level-set based approach for anterior teeth segmentation in cone beam computed tomography images , 2014, Comput. Biol. Medicine.

[9]  S. Barone,et al.  CT segmentation of dental shapes by anatomy‐driven reformation imaging and B‐spline modelling , 2016, International journal for numerical methods in biomedical engineering.

[10]  Jianwei Zhang,et al.  Toward accurate tooth segmentation from computed tomography images using a hybrid level set model. , 2014, Medical physics.

[11]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[12]  Anil K. Jain,et al.  Matching of dental X-ray images for human identification , 2004, Pattern Recognit..

[13]  Guanglin Li,et al.  Molar axis estimation from computed tomography images , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[14]  Seyed Kamaledin Setarehdan,et al.  AUTOMATED SEGMENTATION OF TEETH IN MULTI-SLICE CT IMAGES , 2006 .

[15]  Oksam Chae,et al.  Segmentation of tooth in CT images for the 3D reconstruction of teeth , 2004, IS&T/SPIE Electronic Imaging.

[16]  S. Crozier,et al.  Synthesizing panoramic radiographs by unwrapping dental CT data , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  L. T. Hiew,et al.  Tooth Segmentation From Cone-Beam CT Using Graph Cut , 2010 .

[18]  Mohammad Hosntalab,et al.  Segmentation of teeth in CT volumetric dataset by panoramic projection and variational level set , 2008, International Journal of Computer Assisted Radiology and Surgery.