@inproceedings{529f1bc3e8c14da6b1e566c0c2b318b5,
title = "A simple but effective denoising algorithm in projection domain of CBCT",
abstract = "There are growing concerns on the potential side effect of radiation, which could be decreased by lowering the tube current. However, this manner will lead to a degraded image since X-ray imaging is a quantum accumulation process. Great efforts have been devoted to alleviate this problem. In this paper, a simple Wiener filter was employed to denoise projection data in detector domain. And then an enhancement filter was exploited to strengthen small structures. As a consequence, this combination leaded to a reconstruction with good trade-off between noise and resolution. For the purpose of comparison, block-matching and 3D/4D denoising algorithm (BM3D/BM4D) were also adopted to denoise the projections. Experimental results demonstrated that the proposed algorithm could deliver a reconstruction with comparable quality as BM4D algorithm while better than that of BM3D denoising algorithm. Note that the propose algorithm has a much higher computation efficiency than BM3D/BM4D, and hence provides an insight into the clinical utility where real time is of high importance.",
keywords = "BM3D, BM4D, CBCT, Image enhancement, Noise reduction, Wiener filter",
author = "Shaojie Chang and Yanbo Zhang and Ti Bai and Xi Chen and Qiong Xu and Xuanqin Mou",
note = "Funding Information: This work was supported in part by National Natural Science Foundation of China (NSFC) under No. 61172163, 90920003, 61302136 and 61401349, in part by Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2014JQ8317) Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Image and Graphics, ICIG 2015 ; Conference date: 13-08-2015 Through 16-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21978-3_40",
language = "English (US)",
isbn = "9783319219776",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "462--469",
editor = "Yu-Jin Zhang",
booktitle = "Image and Graphics - 8th International Conference, ICIG 2015, Proceedings",
}