Automatic Noise Removal And Effect of NEX Setting on Magnetic Resonance Images

摘要：

In magnetic resonance imaging(MRI), there has been a tradeoff between the scan time and NEX in order to produce high quality images. Clinically, small NEX values corresponding to reduce scan times are usually used that increases inevitable noise, which obeys a Rician distribution. We propose on automatic filtering method based on noise estimation and bilateral filtering to facilitate the denoising procedure in an attempt to shorten scan time while maintain high imaging quality in MRI. A variety of MR images have been used to evaluate the proposed method including phantoms and clinical data. The experimental results indicate that our method outperformed several existing methods and is of potential in many MR image denoising application.

关键词： Rician noise noise estimation bUiteral filtering MRA.

作者: Yun-Ni Ting Hanna S. Yuan Herng-Hua Chang Woei-Chyn Chu

作者单位: Institute of Biomedical Engineering National Yang-Ming University, Beitou 112 Taipei, Taiwan Institute of Molecular Biology Academia Sinica, Nankang 115 Taipei, Taiwan Computational Biomedical Engineering Laboratory (CBEL) Department of Engineering Science and Ocean E

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 162-166

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）