科研成果详情

题名A metal artifact reduction method with bone segmentation for CBCT images
作者
发表日期2021
会议名称2nd International Conference on Computer Vision and Data Mining (ICCVDM 2021)
会议录名称Journal of Physics: Conference Series
ISSN1742-6588
卷号2024
期号1
会议日期20-22 August 2021
会议地点Changsha, China
摘要

Nowadays, CBCT images become popular and are widely used in the dental diagnosis. The image quality is related to the accuracy of diagnosis and treatment. When metal objects such as the dental implants are present in CBCT scanning, the metal artifacts will appear and decrease the image quality. In order to reduce the metal artifacts, this paper proposes a metal artifact reduction method for the dental CBCT images. This method is based on inpainting the sinogram and mainly has three innovations. First, this method forward-projects only the region around the metal implants. Second, the bones in the forward projection region are segmented and their intensity values are set to zero before the forward projection. Finally, this method computes an image to directly correct the original CBCT image, this correction image is the back projection of the difference between the interpolated sinogram and the original sinogram. The proposed method reduces the metal artifacts and improves the image quality, it may potentially increase the diagnosis value of the CBCT images corrupted by the metal artifacts.

DOI10.1088/1742-6596/2024/1/012033
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语种英语English
Scopus入藏号2-s2.0-85116701618
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/5960
专题理工科技学院
作者单位
Division of Science and Technology,Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,Guangdong,519087,China
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Zhang, Songze,Jiang, Benxiang,Shi, Hongjian. A metal artifact reduction method with bone segmentation for CBCT images[C], 2021.
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