波谱学杂志2012，Vol.29Issue(4)：537-546,10.
基于背景信息的磁共振成像尖峰噪声消除
Spike Noise Removal for Magnetic Resonance Imaging Based on the Information in the Background Region
摘要
Abstract
In magnetic resonance imaging, spike noise in the K-space will degrade the quality of the reconstructed images severely. We proposed a new approach to locate and remove spike noises based on the information in the background region. Firstly, one-dimensional discrete Fourier transform (DFT) is applied to K-space data along the k1. and ky direction respectively to acquire two half transformed datasets. Then background in these two datasets are extracted and analyzed to locate and remove the spike noise. By experiments on simulated and real data, the proposed approach was proven to be able to remove certain kinds of spike noises effectively. Compared with the previous algorithms, this approach has the unique advantage in that it can deal with the cases in which consecutive rows of K-space data are contaminated with spike noises.关键词
磁共振成像(MRI)/尖峰噪声/傅立叶变换/图像伪影Key words
MRI/ spike noise/ Fourier transform/ image artifacts分类
数理科学引用本文复制引用
陈华莉,张成秀,奚伟,姜小平,杨光..基于背景信息的磁共振成像尖峰噪声消除[J].波谱学杂志,2012,29(4):537-546,10.基金项目
上海市科委资助项目(08DZ1900700),上海市磁共振重点实验室开放基金资助项目. （08DZ1900700）
