Variable density sampling and non-Cartesian super-resolved reconstruction for spatiotemporally encoded single-shot MRI

Lin Chen; Jianpan Huang; Ting Zhang; Jing Li; Congbo Cai; Shuhui Cai

doi:10.1016/j.jmr.2016.08.015

Variable density sampling and non-Cartesian super-resolved reconstruction for spatiotemporally encoded single-shot MRI

J Magn Reson. 2016 Nov:272:1-9. doi: 10.1016/j.jmr.2016.08.015. Epub 2016 Aug 28.

Authors

Lin Chen¹, Jianpan Huang², Ting Zhang³, Jing Li⁴, Congbo Cai⁵, Shuhui Cai⁶

Affiliations

¹ Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Department of Electronic Science, Xiamen University, Xiamen 361005, China; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States. Electronic address: chenlin@stu.xmu.edu.cn.
² Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Department of Electronic Science, Xiamen University, Xiamen 361005, China. Electronic address: jphuang@stu.xmu.edu.cn.
³ Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Department of Electronic Science, Xiamen University, Xiamen 361005, China. Electronic address: zt_nmr@stu.xmu.edu.cn.
⁴ Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Department of Electronic Science, Xiamen University, Xiamen 361005, China. Electronic address: lij416@163.com.
⁵ Department of Communication Engineering, Xiamen University, Xiamen 361005, China. Electronic address: cbcai@xmu.edu.cn.
⁶ Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Department of Electronic Science, Xiamen University, Xiamen 361005, China. Electronic address: shcai@xmu.edu.cn.

PMID: 27591366
DOI: 10.1016/j.jmr.2016.08.015

Abstract

Spatiotemporally encoded (SPEN) single-shot MRI is an emerging ultrafast technique, which is capable of spatially selective acquisition and reduced field-of-view imaging. Compared to uniform sampling, variable density sampling has great potential in reducing aliasing artifacts and improving sampling efficiency. In this study, variable density spiral trajectory and non-Cartesian super-resolved (SR) reconstruction method are developed for SPEN MRI. The gradient waveforms design of spiral trajectory is mathematically described as an optimization problem subjected to the limitations of hardware. Non-Cartesian SR reconstruction with specific gridding method is developed to retrieve a resolution enhanced image from raw SPEN data. The robustness and efficiency of the proposed methods are demonstrated by numerical simulation and various experiments. The results indicate that variable density SPEN MRI can provide better spatial resolution and fewer aliasing artifacts compared to Cartesian counterpart. The proposed methods will facilitate the development of variable density SPEN MRI.

Keywords: Gradient waveforms design; Spatiotemporal encoding; Super-resolved reconstruction; Ultrafast MRI; Variable density sampling.

Publication types

Research Support, Non-U.S. Gov't