Denoise MRI Images Using Sparse 3D Transformation Domain Collaborative Filtering

摘要：

In the present work, a recent proposed transformation domain filter algorithm (BM3D) using the sparseness and self-similarity properties of the images is presented and adapted to reduce the specific Rician distribution noise in MRI magnitude images. The proposed R-BM3D method is compared to the state-ofthe-art transformation domain filter method (ODCT3D), which is proved to be superior to the blockwise nonlocal means filter, the wavelet sub-band coefficient mixing method, and the anisotropic diffusion filter. Comparative experimental results indicate that the proposed R-BM3D is quite competitive in RMSE metric, filter time and visual inspection.

关键词： MRI denoise sparsness transformation domain

作者: XiangBo LIN TianShuang QIU

作者单位: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology DaLian, China

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: 230-233

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）