@inproceedings{6dd5ef7e676b4d9cbc0c2fcb75940088,
title = "Adaptive low-dose CT reconstruction",
abstract = "With computed tomography (CT) technology more and more widely used in clinical applications, low-dose CT arouses people's attention gradually. In this paper, we propose an adaptive low-dose CT reconstruction framework. This framework is based on the iterative algorithm, and tries to find the fewest projection angles adaptively insuring the image quality, achieves the goal of reducing the radiation dose at last. The simulation results show that this adaptive low-dose CT reconstruction framework can find the fewest projection angles adaptively according to the requirement of image quality.",
keywords = "CT, adaptive reconstruction, low-dose, quality assessment, sparse angle",
author = "Bingjie Zhao and Cuixia Feng and Congcong Feng and Junhai Wen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Congress on Image and Signal Processing, CISP 2015 ; Conference date: 14-10-2015 Through 16-10-2015",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/CISP.2015.7407970",
language = "English",
series = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "712--716",
editor = "Lipo Wang and Sen Lin and Zhiyong Tao and Bing Zeng and Xiaowei Hui and Liangshan Shao and Jie Liang",
booktitle = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
address = "United States",
}