@inproceedings{c71989501b474db4a560aec62ce0631a,
title = "Removing ring artifacts in CBCT images using smoothing based on relative total variation",
abstract = "Removing ring artifacts in Cone Beam Computed Tomography (CBCT) images without impairing the image quality is critical for the application of CBCT. In this paper, we propose a novel method for the removal of ring artifacts in CBCT Images using an image smoothing based on relative total variation (RTV). After transforming the CBCT image into polar coordinates, we introduce a single-direction smoothing to separate the small scale textures, which include the artifacts, from the image structures. Then the artifact template is generated by median value extraction. Finally, the artifact template is transformed back into Cartesian coordinates and is subtracted from the original CBCT image. Experiments on different CBCT images show that the proposed method can obtain satisfactory results.",
keywords = "CBCT image, Image smoothing, Relative total variation, Ring artifacts",
author = "Qirun Huo and Jianwu Li and Yao Lu and Ziye Yan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 23rd International Conference on Neural Information Processing, ICONIP 2016 ; Conference date: 16-10-2016 Through 21-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46687-3_55",
language = "English",
isbn = "9783319466866",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "501--509",
editor = "Kenji Doya and Kazushi Ikeda and Minho Lee and Akira Hirose and Seiichi Ozawa and Derong Liu",
booktitle = "Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings",
address = "Germany",
}