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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Angled tooth segmentation from computerized tomography images.

Yangzhou Gan, Zeyang Xia, Jing Xiong

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary

    This study introduces a novel method for segmenting angled teeth contours from dental computerized tomography (CT) scans. The approach effectively overcomes limitations of existing techniques, improving 3D dental model reconstruction.

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    Area of Science:

    • Medical Imaging
    • Computer-Aided Dentistry
    • Biomedical Engineering

    Background:

    • Accurate tooth contour segmentation is crucial for 3D dental model reconstruction from CT images.
    • Existing segmentation methods struggle with angled teeth due to contour variations between adjacent slices.

    Purpose of the Study:

    • To develop a new method for effective contour segmentation of angled teeth from dental CT images.
    • To address the limitations of current techniques in handling significant contour shape differences in adjacent slices.

    Main Methods:

    • Extraction of the volume of interest (VOI) and tooth axis from volumetric CT data.
    • Rotation of local images within the VOI to align the tooth axis perpendicular to the transverse section.
    • Slice-by-slice tooth contour segmentation using a hybrid level set model on rotated images.

    Main Results:

    • The proposed method successfully segmented contours of angled teeth from CT images.
    • Experimental results demonstrated the effectiveness of the novel approach.

    Conclusions:

    • The developed method provides an effective solution for segmenting angled teeth contours.
    • This advancement improves the accuracy of 3D dental model reconstruction from CT scans.