结合非线性GRAPPA与SENSE的并行磁共振成像  

Parallel MRI based on combination of nonlinear GRAPPA and SENSE

作　　者：蒋明峰[1] 朱礼涛[1] 汪亚明[1] 夏灵[2] 龚莹岚[2] 

机构地区：[1]浙江理工大学信息学院,浙江杭州310018 [2]浙江大学生物医学工程系,浙江杭州310027

出　　处：《浙江大学学报（工学版）》2014年第10期1865-1870,共6页Journal of Zhejiang University：Engineering Science

基　　金：国家"973"重点基础研究发展规划资助项目(2010CB732502);国家自然科学基金资助项目(61070063;61272311);浙江省自然科学基金资助项目(LY14F010022);浙江理工大学"521"人才培养计划资助项目

摘　　要：针对SENSE并行磁共振成像中采用补零缺失数据方法估计敏感度分布不准确性的问题,提出采用非线性GRAPPA方法估算缺失的K空间欠采样数据.计算并行线圈的敏感度分布,将这些敏感度分布应用于SENSE并行磁共振成像.采用不同加速因子的脑磁共振K空间欠采样数据以验证提出算法的重建性能.实验结果表明,与单一的非线性GRAPPA和SENSE重建算法相比,该混合NLGRAPPA-SENSE算法在加速因子较大时可以重建出更加准确的磁共振图像,具有更低的噪声功率(AP)和更高的信噪比(SNR)性能.The nonlinear GRAPPA method was applied to estimate the undersampled K-space data in order to overcome the inaccuracy of sensitivity map of each coil calculated by zero-padding method. Then the accurate sensitivity map of each coil was calculated. The sensitivity encoding （SENSE） method was adopted to reconstruct the MR image from the under-sampled K-space data based on the accurate sensitivity map. The proposed hybrid technique was tested on MR brain image reconstructions at various acceleration rates. Experimental results show that the proposed method can achieve significant improvements in reconstruction accuracy when compared with the nonlinear GRAPPA and SENSE methods, with lower artificial power （AP） and higher signal to noise ratio （SNR）.

关 键 词：并行磁共振成像(pMRI) 非线性GRAPPA 敏感度编码(SENSE) NLGRAPPA-SENSE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]