@inproceedings{ca6d53c303004f2d8cac28fe79618009,
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 = "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 = "英语",
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",
}