波谱学杂志2017，Vol.34Issue(3)：294-301,8.DOI:10.11938/cjmr20162525
基于局部位移校正的磁共振图像相干平均
Magnetic Resonance Image Averaging with Local Offset Correction
摘要
Abstract
In magnetic resonance imaging (MRI), data averaging is often used to improve signal-to-noise ratio (SNR) of the images. However, image blurring can be induced by averaging if movements occur during scanning. Inspired by the patch-matching method used in the non-local means algorithm, a new method to find out local offsets of structures in multiple images was proposed by comparing the neighborhood similarities of the image patches. The local offsets could then be corrected before weighted averaging of the images. The performance of the proposed method was verified with both phantom and patient images. The results demonstrated that the proposed algorithm could improve SNR while preserving the image edges and details correctly.关键词
磁共振成像(MRI)/相干平均/非局域均值/图像去噪Key words
magnetic resonance imaging (MRI)/averaging/non-local means/image denoising分类
数理科学引用本文复制引用
李文静,谢海滨,严序,周敏雄,向之明,杨光..基于局部位移校正的磁共振图像相干平均[J].波谱学杂志,2017,34(3):294-301,8.基金项目
国家高技术研究发展计划("863"计划)资助项目(2014AA123400). （"863"计划）
