A CT Image Denoising Method Based on Projection Domain Feature

作     者：Sun, Mengyu Xia, Dimeng Zhao, Shusen Zhang, Weibin He, Yaobin 

作者机构： Southern University of Science and Technology Shenzhen518055 China CETC Key Laboratory of Smart City Modeling Simulation and Intelligent Technology The Smart City Research Institute of CETC Shenzhen518055 China 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Digital elevation model 

摘      要：In order to improve image quality of projection in industrial applications, generally, a standard method is to increase the current or exposure time, which might cause overexposure of detector units in areas of thin objects or backgrounds. Increasing the projection sampling is a better method to address the issue, but it also leads to significant noise in the reconstructed image. This paper proposed a projection domain denoising algorithm based on the features of the projection domain for this case. This algorithm utilized the similarity of projections of neighboring veiws to reduce image noise quickly and effectively. The availability of the algorithm proposed in this work has been conducted by numerical simulation and practical data experiments. Copyright © 2024, The Authors. All rights reserved.