Ultrafast multi-slice spatiotemporally encoded MRI with slice-selective dimension segmented.
As a recently emerging method, spatiotemporally encoded (SPEN) magnetic resonance imaging (MRI) has a high robustness to field inhomogeneity and chemical shift effect. It has been broadened from single-slice scanning to multi-slice scanning. In this paper, a novel multi-slice SPEN MRI method was proposed. In this method, the slice-selective dimension was segmented to lower the specific absorption rate (SAR) and improve the image quality. This segmented method, dubbed SeSPEN method, was theoretically analyzed and demonstrated with phantom, lemon and in vivo rat brain experiments. The experimental results were compared with the results obtained from the spin-echo EPI, spin-echo SPEN method and multi-slice global SPEN method proposed by Frydman and coauthors (abbr. GlSPEN method). All the SPEN images were super-resolved reconstructed using deconvolution method. The results indicate that the SeSPEN method retains the advantage of SPEN MRI with respect to resistance to field inhomogeneity and can provide better signal-to-noise ratio than multi-slice GlSPEN MRI technique. The SeSPEN method has comparable SAR to the GlSPEN method while the T1 signal attenuation effect is alleviated. The proposed method will facilitate the multi-slice SPEN MRI to scan more slices within one scan with better image quality.
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: zt_nmr@stu.xmu.edu.cn.
Ting
T
Zhang
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: chenlin@stu.xmu.edu.cn.
Lin
L
Chen
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: jphuang@stu.xmu.edu.cn.
Jianpan
J
Huang
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: lij416@163.com.
Jing
J
Li
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: shcai@xmu.edu.cn.
Shuhui
S
Cai
Department of Communication Engineering, Xiamen University, Xiamen, China. Electronic address: cbcai@xmu.edu.cn.
Congbo
C
Cai
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China. Electronic address: chenz@xmu.edu.cn.
Zhong
Z
Chen
D000465:Algorithms; D000818:Animals; D001921:Brain / Q000000981:diagnostic imaging*; D017352:Echo-Planar Imaging; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D019047:Phantoms, Imaging; D051381:Rats
Multi-slice MRI; Segmented slice selection; Spatiotemporal encoding