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Proceedings Paper

Iterative closest-point based 3D stitching in dental computed tomography for a larger view of facial anatomy
Author(s): Chulkyu Park; Hyosung Cho; Dongyeon Lee; Changwoo Seo; Bo kyung Cha
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Paper Abstract

Recently, dental cone-beam computed tomography (CBCT) scanners using a small-sized detector have been used for both dental diagnosis and sinus examination in otolaryngology and plastic surgery. In this study, we investigated a threedimensional (3D) registration method using two datasets of reconstructed CBCT images with a small-sized detector to enlarge the field-of-view (FOV) of the original CBCT images. We employed an iterative closest-point (ICP) algorithm to registration with bone information as fiducial landmarks. We applied the proposed registration method to a commercially-available dental CBCT system (Green 16TM, Vatech Co.) and performed a systematic experiment to demonstrate the algorithm’s effectiveness for 3D registration in CBCT. In the experiment, the upper part of the head phantom was tilted while the lower part fixed to cover the entire face during projection data acquisition. After the registration processing, intensity-mismatch artifacts in the overlap region were blended by increasing the proportion of artifact-free parts. Consequently, we successfully stitched two datasets of the reconstructed CBCT images obtaining a larger-FOV CBCT image. The proposed method reduced intensity-mismatch artifacts and thus effectively eliminated the seams.

Paper Details

Date Published: 1 March 2019
PDF: 8 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 1094835 (1 March 2019); doi: 10.1117/12.2511645
Show Author Affiliations
Chulkyu Park, Yonsei Univ. (Korea, Republic of)
Hyosung Cho, Yonsei Univ. (Korea, Republic of)
Dongyeon Lee, Yonsei Univ. (Korea, Republic of)
Changwoo Seo, Yonsei Univ. (Korea, Republic of)
Bo kyung Cha, Korea Electrotechnology Research Institute (Korea, Republic of)


Published in SPIE Proceedings Vol. 10948:
Medical Imaging 2019: Physics of Medical Imaging
Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans, Editor(s)

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