联合相邻帧预测的心脏磁共振电影成像方法  

Joint Adjacent-frame Prediction for Cardiac Cine MR Imaging

作　　者：董家林 洪明坚[1] 张海标 葛永新[1] DONG Jia-Lin1 ,HONG Ming-Jian1, ZHANG Hai-Biao1, GE Yong-Xin1(1. School of Software Engineering, Chongqing University, Chongqing 40133)

机构地区：[1]重庆大学软件学院,重庆401331

出　　处：《自动化学报》2018年第3期490-505,共16页Acta Automatica Sinica

基　　金：中央高校基金项目(106112017CDJQJ158834)资助~~

摘　　要：快速动态磁共振成像可以通过减少采样量来缩短信号的采集时间.因此,从下采样的数据中重建出高质量的图像成为研究的热点.目前,常见的重建方法利用动态图像序列的稀疏表示实现高质量的重建.本文提出了一种联合相邻帧预测(Joint adjacent-frame prediction,JAFP)的重建方法,首先根据动态图像序列相邻帧之间高度的相似性,联合预测当前帧图像,获得稀疏的图像差;其次,利用图像差序列在时间域的拟周期特性,通过傅里叶变换进一步提高图像差序列的稀疏度.在此基础上构建动态成像模型,并在压缩感知(Compressed sensing,CS)框架下进行求解.该方法可将前一次的重建结果作为新的输入,从而形成迭代算法.采用两个磁共振心脏电影成像数据集对提出的方法进行了实验验证,并与k-tFOCUSS ME/MC和MASTeR进行了比较.实验结果表明,该方法联合相邻帧改进了预测图像的效果,提升了重建图像的质量,具有广泛的应用价值.Dynamic magnetic resonance imaging can be accelerated to reduce the signal acquisition time by under- sampling k-space data, so the quality of reconstructed images from under-sampled data has become the focus of research. Currently, the common approaches use sparse representation of dynamic image sequences to improve the reconstruction. This paper proposes a new method named joint adjacent-frame prediction （JAFP） based on the similarity between adja- cent frames of dynamic image sequences. The JAFP promotes the quality of the predicted image sequence by jointsing adjacent frames prediction. Meanwhile, observing the quasi-periodicity of the difference of sequences, it further improves the sparsity by applying Fourier transform to the difference sequence along the time direction. Then a dynamic imag- ing model is setup to incorporate the fidelity constraint and joint sparse promotion, and it is solved in the framework of compressive sensing （CS）. Two cardiac cine MR datasets are evaluated to verify the proposed method, and the pro- posed method is compared with k-t FOCUSS with ME/MC and MASTER to show the better quality of reconstruction. Experimental results show that JAFP can improve the quality of reconstructed image and has important application value.

关 键 词：动态磁共振成像 联合相邻帧 傅里叶变换 压缩感知 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]