Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique

作     者：李敬 蔡聪波 陈林 陈颖 屈小波 蔡淑惠 Li Jing;Cai Cong-Bo;Chen Lin;Chen Ying;Qu Xiao-Bo;Cai Shu-Hui

作者机构：Department of Electronics ScienceFujian Provincial Key Laboratory of Plasma and Magnetic ResonanceXiamen University Department of Communication EngineeringXiamen University Center for Brain Imaging Science and TechnologyZhejiang University 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2015年第24卷第10期

页      面：629-637页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1002[医学-临床医学] 08[工学] 080203[工学-机械设计及理论] 1010[医学-医学技术（可授医学、理学学位）] 0802[工学-机械工程] 10[医学] 

基　　金：Project supported by the National Natural Science Foundation of China(Grant Nos.11474236 81171331 and U1232212) 

主　　题：magnetic resonance imaging spatiotemporal encoding single shot reduced field-of-view 

摘      要：In many ultrafast imaging applications, the reduced field-of-view（r FOV） technique is often used to enhance the spatial resolution and field inhomogeneity immunity of the images. The stationary-phase characteristic of the spatiotemporallyencoded（SPEN） method offers an inherent applicability to r FOV imaging. In this study, a flexible r FOV imaging method is presented and the superiority of the SPEN approach in r FOV imaging is demonstrated. The proposed method is validated with phantom and in vivo rat experiments, including cardiac imaging and contrast-enhanced perfusion imaging. For comparison, the echo planar imaging（EPI） experiments with orthogonal RF excitation are also performed. The results show that the signal-to-noise ratios of the images acquired by the proposed method can be higher than those obtained with the r FOV EPI. Moreover, the proposed method shows better performance in the cardiac imaging and perfusion imaging of rat kidney, and it can scan one or more regions of interest（ROIs） with high spatial resolution in a single shot. It might be a favorable solution to ultrafast imaging applications in cases with severe susceptibility heterogeneities, such as cardiac imaging and perfusion imaging. Furthermore, it might be promising in applications with separate ROIs, such as mammary and limb imaging.