@inproceedings{oai:kyutech.repo.nii.ac.jp:00004621,
 author = {Yan, Ziyue and Hu, Xuelong and Zhang, Lifeng and 張, 力峰 and Serikawa, Seiichi and 芹川, 聖一},
 book = {Proceedings of the 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014)},
 month = {Sep},
 note = {Computed Tomography (CT) is one of the most important means of medical diagnosis and the quality of CT image can be seriously affected by metal artifacts. How to use CT image segmentation to extract the focused region is a classical difficult problem in this research field. According to the principle of CT reconstruction, after the medical image segmentation, projection of the metal part by compensation can improve the image quality. This paper first introduces the causes of the metal artifacts as well as the principle of CT image reconstruction. Then，it mainly discusses the simple and iterative threshold segmentation to solve metal artifacts. Corresponding comparison shows that the proposed method in this study has better segmentation effect based on the experimental results. Finally, the prospect of medical image segmentation is predicted to indicate future research work., The 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014), September 26-29, 2014, Nishinippon Institute of Technology, Kitakyushu, Japan},
 pages = {326--329},
 publisher = {ICISIP2014},
 title = {Study on Image Segmentation in CT Metal Artifacts},
 year = {2014},
 yomi = {チョウ, リキホウ and セリカワ, セイイチ}
}