A Novel Noise-removed Algorithm for Tagging Effects in Intermolecular Multiple-quantum Coherence Magnetic Resonance Images

摘要：

Since the acquired images are often distorted by noise resulting from various experimental and other sources (e.g., the RF tagging effects) in magnetic resonance imaging (MRI), removing noise is a very important work and at the same time useful information should be well preserved. In this paper, a novel, fast denoising algorithm has been proposed to make tradeoff between reducing noise and enlarging contrast of MRI images. Finally the computed results are in good agreement with our theoretical prediction.

作者: LIN Tao LEI Guo-wei YOU Rong-yi CHEN Zhong

作者单位: School of Science, Jimei University, Xiamen 361021, China Department of Physics, Fujian Key Laborato School of Science, Jimei University, Xiamen 361021, China Department of Physics, Fujian Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xi

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 394-396

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）