Bone surface-based volume stitching in dental computed tomography with improved image quality

Speaker

Mr Chulkyu Park (Yonsei University)

Description

This study presents an effective volume stitching method in dental computed tomography (DCT) using a bone surface-based registration with improved image quality. It consists of four main steps: (1) acquisition of two separate DCT datasets of a small field-of-view (FOV), (2) computation of a three-dimensional transformation for volumetric registration, (3) image registration, and (4) alpha blending. During acquisition of DCT datasets, the focal spot of the x-ray tube was aligned to the bottom of the detector, and one dataset to be registered was obtained with the upper part of a skull phantom in a tilted position to avoid bright shading artifacts around the sinus in the reconstructed DCT image. We performed an experiment using a commercially available dental DCT system to investigate the image quality and evaluate the effectiveness of the proposed method in DCT. The system consisted of an x-ray tube (70 kVp and 5 mA) and a CMOS flat-panel detector with an active area of 13.5 cm × 12.7 cm, and it was operated in a half-beam scan mode to increase the FOV to 160 mm (in diameter) × 90 mm (in height). Our experimental results indicate that the proposed volume stitching method was effective for obtaining homogeneous and seamless stitched images of a larger FOV in DCT.

Primary author

Mr Chulkyu Park (Yonsei University)

Co-authors

Mr Dongyeon Lee (Yonsei University) Mr Woosung Kim Prof. Hyosung Cho (Yonsei University) Mr Yonghwan Lim (Yonsei University) Mr Guna Kim Mr Seokyoon Kang (Yonsei University) Mr Kyuseok Kim (Yonsei University) Ms Soyoung Park (Yonsei University) Mr Hyunwoo Lim (Yonsei University) Mr Hunwoo Lee (Yonsei University) Mr Duhee Jeon (Yonsei University) Mr Jeongeun Park (Yonsei University) Prof. Changwoo Seo (Yonsei University) Prof. Minsik Lee (Asan Medical Center)

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